Abstract: This disclosure provides methods, reagents, and diagnostic and prognostic markers useful for non-invasive identification, diagnosis, and therapeutic intervention in individuals with epilepsy. More particularly, the disclosure uses specific metabolites measured by magnetic resonance spectroscopy in brain tissue to detect epileptic brain regions.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for filtering a set of tracts that are predicted to be included in a selected neuro-network. In one aspect, a method comprises: receiving selection data selecting a network of a brain, processing magnetic resonance image data of the brain to identify a set of tracts that are predicted to be included in the selected network, determining a blocking surface for the selected network, comprising: obtaining a set of parcellations for the selected network and determining, based on a respective position in the brain of each parcellation in the set of parcellations, a set of parameters defining the blocking surface, and generating filtered tract data by filtering the set of tracts that are predicted to be included in the selected network to remove tracts that intersect the blocking surface.

Abstract: Systems and methods obtain functional connectivity data in the whole brain to detect and predict brain disorders. This whole brain data is regionalized and then manipulated to derive functional connectivity data sets that can be used to show measured functional connectivity changes. This whole brain data may also be analyzed to determine changes in functional activity in both increased and decreased neural network connectivity. By identifying and then quantifying the functional connectivity differences between healthy and diseased subjects, a classification for individual subjects can be made.

Abstract: The present invention provides a method of computer analysis of a data set representing an image to extract a texture based measure therefrom, said image including a multiplicative bias in intensity within the image of unknown magnitude, the method comprising applying to said data set a bank of texture extracting filters, such that said filters are chosen from filters that are invariant to the presence of a multiplicative bias field. By providing such a method, rather than attempting to correct the bias field before extraction of a texture based-biomarker, a texture-based biomarker that is bias field invariant is extracted. This makes correction of the bias field unnecessary.

Abstract: The invention relates to a method of Dixon-type MR imaging. It is an object of the invention to provide a method that enables efficient and reliable water/fat separation. The method of the invention comprises the following steps: subjecting an object (10) to an imaging sequence, which comprises at least one excitation RF pulse and switched magnetic field gradients, wherein two echo signals, a first echo signal and a second echo signal, are generated at different echo times (TE1, TE2), acquiring the echo signals from the object (10), reconstructing a water image and/or a fat image from the echo signals, wherein contributions from water and fat to the echo signals are separated using a two-point Dixon technique in a first region of k-space and a single-point Dixon technique in a second region of k-space, wherein the first region is different from the second region.

Abstract: A method can include receiving (1) images of at least one subject and (2) at least one total mass value for the at least one subject. The method can further include executing a first machine learning model to identify joints of the at least one subject. The method can further include executing a second machine learning model to determine limbs of the at least one subject based on the joints and the images. The method can further include generating three-dimensional (3D) representations of a skeleton based on the joints and the limbs. The method can further include determining a torque value for each limb, based on at least one of a mass value and a linear acceleration value, or a torque inertia and an angular acceleration value. The method can further include generating a risk assessment report based on at least one torque value being above a predetermined threshold.

Abstract: The invention provides for a magnetic resonance imaging system (100, 300, 500). The magnetic resonance imaging system comprises a video system (122, 122?, 122?) configured for providing video images (146) of a facial region (119) of a subject (118) during acquisition of the magnetic resonance imaging data (144). The magnetic resonance imaging system further comprises a memory (134) for storing machine executable instructions (140) and pulse sequence commands (142).

Abstract: An embodiment in accordance with the present invention includes a novel informatics method for the integration of different variables or ontologies using an advanced unsupervised machine learning method which will be used to visualize factors not visible to the human observer. These factors can be unknown characteristics between imaging datasets and other factors which will provide insights into the structure of the data. This invention is called the Informatics Radiomics Integration System (IRIS), For example, using clinical data and radiological images, the present invention can determine the relationship between, the structure, clinical variables, histological variables and “distance or relationship” between each input parameter. This integration of information can be used to determine the association between the variables and the relationship to each other for improved diagnosis or for treatment response.

Abstract: A stereotactic frame includes a vertical column that extends up from a base. A first laterally extending support arm extends from a first side of the column and a second laterally extending support arm extends from a second side of the column. One of the first or second support arms may include a transducer assembly. The transducer assembly may move a focal point of the transducer in different lateral and longitudinal horizontal positions and different vertical positions. The transducer assembly also may move the focal point of the transducer beam into different pivoting angled positions. The stereotactic frame applies repeatable ultrasonic energy to targets inside a patient without using invasive attachment procedures and without having to repeatedly use expensive magnetic resonance imaging (MRI) machines.

Abstract: Techniques are described for generating setting parameters for an MRI sequence to be performed, wherein a conditional generative artificial neural network is used that has been trained as part of a conditional generative adversarial net. The techniques also include establishing a conditional generative artificial neural network. The conditioning of the conditional generative artificial neural network can be used to specify a specific medical application or question to obtain setting parameters for an MRI apparatus that are optimized with respect to said application or question.

Abstract: Methods of segmenting an abdominal image, computer apparatuses and storage mediums. The method includes acquiring an abdominal image to be examined; and classifying pixels in the abdominal image to be examined based on a trained full convolution neural network, and determining a segmented image corresponding to the abdominal image to be examined, wherein the trained full convolution neural network is trained and determined based on a first training set and a second training set, the first training set includes first sample abdominal images and pixel classification label images corresponding to the first sample abdominal images, the second training set includes second sample abdominal images and the number of pixels of second sample abdominal images correspondingly belong to each class. Through the methods herein, the accuracy of the segmentation can be improved.

Abstract: This invention concerns an automated registration method and device for a surgical robot enabling registration between a first three-dimensional location system comprising an optical distance sensor and a second three-dimensional location system comprising optical acquisition means. The method comprises:—a first step of intraoperative registration between the first location system and data recorded on an anatomical surface of a patient and;—a second step of intraoperative registration of two three-dimensional location systems. The second registration step is performed at the same time as the first registration step by detection, by the optical acquisition means, of at least one point of a point cloud acquired by the optical sensor during the first intraoperative registration.

Abstract: A test server includes: a communication unit that communicates with a plurality of communication terminals via a network, the plurality of communication terminals each being connectable to a test device capable of executing a test on the presence or absence of a disease, the diagnosis being related to the test and made by a doctor; and a control unit that acquires at least one of a result of the test and the diagnosis as a test information item from each of the plurality of communication terminals via the communication unit, causes a storage unit to store the plurality of acquired test information items, performs statistical processing on the plurality of stored test information items, and causes the communication unit to return a result of the statistical processing according to a demand given from each of the communication terminals before the doctor makes a diagnosis.

Abstract: A method for ascertaining pulmonary fibrosis disease progression or treatment response includes obtaining a first set of computed tomography (CT) images of a lung and determining a first Pulmonary Surface Index (PSI) score for the lung by detecting a first actual lung boundary of the lung within the first set of CT images, determining a first approximated lung boundary within the first set of CT images, and determining the PSI score using inputs based on the first actual lung boundary and the first approximated lung boundary. The method also includes obtaining a second set of CT images of the lung and determining a second PSI score for the lung using inputs based on a second actual lung boundary and a second approximated lung boundary. The method also includes assessing pulmonary fibrosis treatment response or disease progression based on the first PSI score and the second PSI score.

Abstract: Reference data relating to a portion of a patient anatomy during patient motion can be acquired from a magnetic resonance imaging system (MRI) to develop a patient motion library. During a time of interest, tracking data is acquired that can be related to the reference data. Partial volumetric data is acquired during the time of interest and at approximately the same time as the acquisition of the tracking data. A volumetric image of patient anatomy that represents a particular motion state can be constructed from the acquired partial volumetric data and acquired tracking data.

Abstract: Systems, computer-readable media, and methods are described for assessing physiological condition of spinal intervertebral discs in a quantitative manner using magnetic resonance imaging (MRI) data A simple, objective, continuous measurement of disc health or degeneration/pathology is provided, using routinely acquired or other digital magnetic resonance imaging (MRI) sequences. The measurement includes calculation of a value based on one or more ratios from signal-based measurements of spinal disc structures or regions, which can be obtained either through manual tracing or automated through programming of image analysis software. The measurement can be implemented by a computer and/or stored on a computer readable storage medium.

Abstract: The present disclosure describes a method comprising: obtaining one or more first images of a region of interest of an anatomy from an image source; obtaining at least one of a text input, and one or more physiological signals of a patient; automatically segmenting one or more second images of at least one structure that resides within the one or more first images; extracting one or more volumes of the at least one structure from the one or more first images of the region of interest; determining a feature associated with the at least one structure based on the one or more volumes and one or more inputs, and rendering the feature in at least one of a two-dimensional (2D) format, a three-dimensional (3D) format, and at least one anatomical plane.

Abstract: Insertable imaging devices and use methods thereof in minimally invasive medical procedures. Some insertable imaging devices are introduced and removed from an access port without disturbing or risking damage to internal tissue. Some insertable imaging devices are integrated with an access port, thereby allowing imaging of internal tissues within a vicinity of the access port, while enabling manipulation of surgical tools in the surgical field of interest. Some insertable imaging devices are integrated into an imaging sleeve that is insertable into an access port. Some insertable imaging devices perform imaging within an access port, wherein the imaging is based on one or more imaging modalities, including, but are not limited to, magnetic resonance imaging, ultrasound, optical imaging, such as hyperspectral imaging and optical coherence tomography, and electrical conductive measurements.

Abstract: According to one embodiment, a magnetic resonance imaging apparatus includes processing circuitry. The processing circuitry calculates power of a first RF magnetic field required for excitation at a first flip angle in a first target slice, acquires information on inhomogeneity of a transmission RF magnetic field for a cross section crossing the first target slice, and calculate power of a second RF magnetic field required for excitation at a second flip angle in a second target slice different from the first target slice for the cross section by using the information and the first RF magnetic field power.

Abstract: A insertion apparatus includes a flexible tube, a detection section that detects state information of the tube, a calculation section that calculates, based on the state information, shape information of the tube, and an input section that inputs characteristic information of the tube. The apparatus also includes a calculation section that calculates, based on the characteristic information, an operation state of a distal end of the tube, an calculation section that calculates an insertion state of the tube at a specific point closer to a proximal end than the distal end, based on the shape information, characteristic information, and operation state, and a measurement section that measures an actual operation state of the tube at the specific point.

Abstract: A system and method are provided for operating a magnetic resonance tomograph. A transmitter of the magnetic resonance tomograph transmits a predetermined test pulse with a reduced power. The magnetic resonance tomograph receives the test pulse with the local coil. A controller compares the received test pulse with a predetermined pulse response and emits a warning signal when the received test signal differs from the predetermined pulse response.

Abstract: A system can have an x-ray source that generates a series of individual x-ray pulses for multi-energy imaging. A first x-ray pulse can have a first energy level and a subsequent second x-ray pulse in the series can have a second energy level different from the first energy level. An x-ray imager can receive the x-rays from the x-ray source and can detect the received x-rays for image generation. A generator interface box (GIB) controls the x-ray source to provide the series of individual x-ray pulses and synchronizes detection by the x-ray imager with generation of the individual x-ray pulses. The GIB can control x-ray pulse generation and synchronization to optimize image generation while minimizing unnecessary x-ray irradiation.

Abstract: In one aspect, a method comprises: receiving data indicative of at least one phase image captured using a magnetic resonance imaging (MRI) device during delivery of thermal therapy by a thermal therapy applicator to a target volume within a patient's body; and processing said at least one phase image; wherein said processing said at least one phase image comprises: applying a first mask; applying phase unwrap; and applying a second mask.

Abstract: Disclosed are a method of detecting a neuron resonance signal and an MRI signal processing apparatus. The method of detecting a neuron resonance signal includes acquiring a plurality of different digital sequences respectively corresponding to a plurality of different repetition periods by sampling a magnetic resonance signal of a neuron resonance signal according to each of the plurality of different repetition periods and calculating correlation between the plurality of different digital sequences in a frequency band based on the plurality of different digital sequences.

Abstract: The present invention includes a computerized method of detecting fluid flow in a vessel, the method comprising: obtaining at least one non-contrast enhanced magnetic resonance image from a magnetic resonance imager; performing a phase sensitive reconstruction of the at least one non-contrast enhanced magnetic resonance image using a processor; combining the phase sensitive reconstruction with a velocity selective preparation of the non-contrast enhanced magnetic resonance image, to determine using the processor, in a single acquisition, at least one of: a flow direction of a fluid in the vessel, a reduction or elimination of a background signal, body fat, water/fat separation, or differentiation of a fast moving flow signal from a slow moving flow signal in an opposite direction with suppression of the background signal; and storing or displaying at least one of flow direction or flow strength of the fluid flow in the vessel obtained from the single acquisition.

Abstract: Techniques for determining motion states of at least two bodies by an MR-device are provided, wherein the bodies each have a respective target region which is in an anatomic motion comprising a repetitive motion pattern with a motion repetition rate, and in particular, for cardiac and/or respiratory motion. A sequence of individual MR-measurements are performed on the bodies at a MR-repetition rate higher than the motion-repetition rate, wherein nuclear spins of the at least two bodies are excited during the sequence of individual MR-measurements either simultaneously or alternately at navigator times. With the individual MR-measurements, navigator signals are determined, each respective navigator signal indicative of the motion state of at least one of the motion patterns at the navigator time of the navigator signal. These techniques allow simultaneously determining motion states for imaging more than one body with a repetitive motion pattern with reduced preparation time.

Abstract: In a method for determining a normalized MR relaxation parameter for an object using an imaging sequence where the MR signal of the object under examination is detected at a first echo time and at a second echo time, a first MR signal for the object under examination obtained at the first echo time is determined, a second MR signal for the object under examination obtained at the second echo time is determined, a first reference MR signal obtained at the first echo time from a reference tissue having a known value for the MR relaxation parameter is determined, a second reference MR signal obtained at the second echo time from the reference tissue is determined, and the normalized MR relaxation parameter is calculated based on the first MR signal, the second MR signal, the first echo time, the second echo time, and the first and second reference MR signal.

Abstract: Automated setting techniques for MR imaging with ultra-short echo times in a region to be examined are described. With the method protocol parameter values for an MR imaging method are determined. The protocol parameters comprise a predetermined imaging resolution. Optimized values for echo time and bandwidth are also determined based on an image signal simulation, which is based on the determined protocol parameters. The signal to noise ratio and point spread function are used as optimization criteria.

Abstract: To provide an MRI apparatus that acquires a plurality of contrast images including an FLAIR image in the shortest imaging time. An imaging controller of the MRI apparatus includes, as a prescribed pulse sequence, an IR (inversion recovery) sequence that includes application of an inversion pulse and a signal acquisition sequence to collect a signal after an inversion time has elapsed from the application of the inversion pulse, and acquires images in a first slice group, and an imaging sequence that is inserted into an inversion pulse of the IR sequence at a single time and an inversion pulse of the IR sequence at the next time, and acquires images in a second slice group different from the first slice group that are images having different contrasts from that of the IR sequence.

Abstract: A system and method of generating a graphical representation of a network of a subject human brain. The method comprises receiving, via a user interface, a selection of the network of the subject brain; determining, based on an MRI image of the subject brain and one or more identifiers associated with the selection, one or more parcellations of the subject brain (405); determining, using three-dimensional coordinates associated with each parcellation, corresponding tracts in a diffusion tensor image of the brain (425); and generating a graphical representation of the selected network (430), the graphical representation including at least one of (i) one or more surfaces representing the one or more parcellations, each surface generated using the coordinates, and (ii) the determined tracts.

Abstract: In a computerized method to reduce noise in phased-array signals from a set of receivers at different locations, time-series are received from the receivers, which time-series form phased-array signals. The time-series are ordered based on the different locations of the receivers and spatially phased series are obtained from the ordered time-series. Each of the spatially phased series obtained includes a series of signal values that are spatially phased. A noise component is identified in each of the spatially phased series obtained and removed from the spatially phased series to obtain denoised series. Related receiver systems and computer program products are also provided.

Abstract: Accuracy degradation due to a signal loss is reduced, and susceptibility is calculated with high accuracy where, by using an MRI, at least one echo is acquired where spatial magnetic field inhomogeneity is reflected, and a complex image is calculated from the acquired echo. Three masks are calculated from the calculated complex image; a low-signal region mask representing a low signal region, a first high-signal region mask representing a high signal and high fat content region, and a second high-signal region mask representing a high signal and low fat content region. In calculating a susceptibility image from a frequency image or a magnetic field image generated from the complex image, the susceptibility image is obtained under the constraint that a region defined by the low-signal region is set as a background and the susceptibility of the region defined by the second high-signal region mask is set to a specific value.

Abstract: A diagnostic support system includes a spinal cord/spinal nerve evoked magnetic field data acquisition device configured to acquire spinal cord/spinal nerve evoked magnetic field data and a medical image information acquisition device configured to acquire first medical image information having each pixel associated with a corresponding pixel of visualized data of the spinal cord/spinal nerve evoked magnetic field data. The diagnostic support system superimposes the visualized data of the spinal cord/spinal nerve evoked magnetic field data on second medical image information based on information included in the first medical image information.

Abstract: A surgical guidance system has two cameras to provide stereo image stream of a surgical field; and a stereo viewer. The system has a 3D surface extraction module that generates a first 3D model of the surgical field from the stereo image streams; a registration module for co-registering annotating data with the first 3D model; and a stereo image enhancer for graphically overlaying at least part of the annotating data onto the stereo image stream to form an enhanced stereo image stream for display, where the enhanced stereo stream enhances a surgeon's perception of the surgical field. The registration module has an alignment refiner to adjust registration of the annotating data with the 3D model based upon matching of features within the 3D model and features within the annotating data; and in an embodiment, a deformation modeler to deform the annotating data based upon a determined tissue deformation.

Abstract: A process for more sensitive characterization of tissue composition for generating a quantitative MRI (qMRI) map and corresponding delta analysis. Intervertebral disc degeneration (IVDD), resulting in the depletion of hydrophilic glycosaminoglycans (GAGs) located in the nucleus pulposus (NP), can lead to debilitating neck and back pain. Magnetic Resonance Imaging (MRI) is a promising means of IVD assessment due to the correlation between GAG content and MRI relaxation values. T1 and T2 relaxation data were obtained from healthy cervical IVDs, and relaxation data was modeled using both conventional and stretched exponential (SE) decays. Normalized histograms of the resultant quantitative MRI (qMRI) maps were fit with stable distributions. SE models fit relaxation behavior with lower error compared to monoexponential models, indicating anomalous relaxation behavior in healthy IVDs. SE model parameters T1 and T1 increased with IVD segment, while conventional monoexponential measures did not vary.

Abstract: A method for virtually configuring a piece of equipment comprises providing an augmented reality system having a computer unit and at least one sensor unit, detecting a sensor dataset associated with a physical environment by means of the at least one sensor unit, determining a virtual environment based on the sensor dataset by means of the computer unit, and determining a virtual arrangement of at least one virtual and/or physical equipment element relative to the virtual environment.

Abstract: A method for determining a respiratory condition or for assessing the efficacy of a treatment for a respiratory condition or for optimizing a treatment protocol for a respiratory condition in a subject comprising the steps of: a) obtaining image data concerning two or more three-dimensional images of the subject's respiratory system, which images have been previously acquired during an assessment period; b) calculating a specific three-dimensional structural model of the subject's respiratory system for each of the two or more three-dimensional images of step a); c) comparing the three-dimensional structural models of step b) with each other to determine a respiratory condition or to assess the efficacy of a treatment for a respiratory condition or to optimize a treatment protocol for a respiratory condition.

Abstract: Methods and apparatus for diagnosing and treating disorders of the lung are provided, which may include any number of features. In one embodiment, a method comprises obtaining diagnostic information relating to a patient's lungs, compiling a list of potential treatment plans for lung volume reduction in the first and second lungs, excluding treatment plans from the list of potential treatment plans that propose treatment of a lung segment that falls within a segment exclusion rule, and identifying at least one preferred treatment plan from the list of potential treatment plans that targets sufficiently diseased lung segments while also targeting a preferred combined volume of the first and second lungs.

Abstract: In one aspect, in accordance with one embodiment, a method includes acquiring magnetic resonance (MR) data corresponding to bone tissue in an area of interest of a subject that is heated from the application of localized energy. The acquiring includes applying a three-dimensional (3D) ultra-short echo time (UTE) spiral acquisition sequence. The method also includes detecting, from the acquired magnetic resonance data, a change in MR response signal due to a change in at least one of relaxation rate and magnetization density caused by heating of the bone tissue; and determining, based at least in part on the change in the MR response signal, that the temperature of the bone tissue has changed.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for determining anomalous brain data. One of the methods includes obtaining brain data characterizing brain activity of a patient; for each of a plurality of pairs of parcellations comprising a first parcellation and a second parcellation, processing the brain data to generate a correlation between the brain activity of the first and second parcellations; obtaining second connectivity data that characterizes, for each of the plurality of pairs of parcellations, a normal range of correlations between the brain activity of the first and second parcellations; identifying one or more of the plurality of pairs of parcellations for which the correlation between brain activity of the first and second parcellations is outside of the corresponding normal range of correlations; and providing data characterizing the one or more identified pairs of parcellations for display to a user on a graphical interface.

Abstract: The present invention is directed to enabling high-accuracy Nyquist ghost correction without using a reference image. After at least one of a plurality of images for use in diagnosis is used to perform low-order phase correction without causing aliasing of an image, a 2D phase map including remaining high-order phase errors and phase errors in a phase encode direction is calculated. The low-order phase correction is performed on a pair of pieces of data for image obtained by inverting a readout gradient magnetic field as image data for use in 2D phase map calculation, and positive-polarity/negative-polarity errors of the readout gradient magnetic field are calculated with odd lines and even lines of the pair of pieces of data for image rearranged. In the case of DWI imaging, an image with b-value=0 can be used for 2D phase map calculation.

Abstract: Methods for measuring and registering positions and directions in image space with that in world space includes: providing an assembly with a tracking tool; the assembly including positional and/or directional objects with positions and available directions measured according to the tracking tool's frame with a measuring piece having a measuring surface for measuring without prior calibration with a measuring tracking tool in a tracking system; placing the assembly on a body and perform scanning; placing a relative tracking tool at the body; in registering time, recording the data for both the relative tracking tool and the tracking tool attached to the assembly; placing a tracking tool on an instrument; in post-registering time, recording both data of the tracking tool attached on the instrument and data of the relative tracking tool; computing converted positions and/or available directions of the tracking tool attached on the instrument in the image space.

Abstract: A magnetoresistive memory device includes a first electrode, a second electrode, and a layer stack containing an electric field-modulated magnetic transition layer and a ferroelectric insulator layer located between the first electrode and the second electrode, The electric field-modulated magnetic transition layer includes a non-metallic magnetic material having a ferromagnetic state and a non-ferromagnetic state with a state transition therebetween that depends on an external electric field.

Abstract: Disclosed herein are methods and systems for the identification and characterization of perivascular spaces in the cerebral vasculature using magnetic resonance imaging (MRI) data. The disclosed methods allow for automated and unbiased quantification of enlarged perivascular space (ePVS) in a subject, and thus can provide a substantial improvement over manual grading methods used in the art. An example method includes receiving an MRI dataset including voxels having intensity values, identifying a set of candidate voxels within the MRI dataset based on the intensity values; grouping the set of candidate voxels into a set of first clusters; filtering the set of first clusters to generate a set of second clusters; and filtering the set of second clusters based on a morphologic constraint, thereby identifying an enlarged perivascular space in the MRI dataset.

Abstract: A method (400) including: determining (702) a registration function [705, Niirf(T1)] for the particular brain in a coordinate space, determining (706) a registered atlas [708, Ard(T1)] from the registration function and an HCP-MMP1 Atlas (102) containing a standard parcellation scheme, performing (310, 619) diffusion tractography to determine a set [621, DTIp(DTI)] of brain tractography images of the particular brain, for a voxel in a particular parcellation in the registered atlas, determining (1105, 1120) voxel level tractography vectors [1123, Vje, Vjn] showing connectivity of the voxel with voxels in other parcellations, classifying (1124) the voxel based on the probability of the voxel being part of the particular parcellation, and repeating (413) the determining of the voxel level tractography vectors and the classifying of the voxels for parcellations of the HCP-MMP1 Atlas to form a personalised brain atlas [1131, PBs Atlas] containing an adjusted parcellation scheme reflecting the particular brain (Bb

Abstract: A temporal-spectral multiplexing sensor for simultaneous or near simultaneous spatial-temporal-spectral analysis of an incoming optical radiation field. A spectral encoder produces a time series of spectrally encoded optical images at a high sampling rate. A series of full panchromatic spectrally encoded optical images are collected at a rate similar to the sampling rate. A detector records at least one spatial region of the spectrally encoded optical image. A processor is configured to process two series of spectrally encoded optical images to produce an artifact-free spectral image. The processing includes using the panchromatic images to normalize the spectrally encoded images, and decoding the normalized encoded images to produce high fidelity spectral signatures, free of temporal artifacts due to fluctuations at frequencies slower than the sampling rate for polychromatic images.

Abstract: Systems and methods for estimating complex transmit field B1+ a transmit coil of a magnetic resonance imaging (MRI) system in both k-space and image domains are described herein. Estimating complex RF field B1+ in the k-space domain includes acquiring complex data in a k-space domain, estimating a complex B1+ map in the k-space domain of a transmit coil and storing the complex B1+ map. The complex B1+ map can be estimated based on the complex images. Estimating complex transmit field B1+ in the image domain includes acquiring at least two complex images in a k-space domain, transforming the complex images into an image domain, estimating a complex B1+ map in the image domain of a transmit coil, and storing the complex B1+ map.

Abstract: A method of Dixon-type MR imaging includes subjecting the object (10) to a first imaging sequence (31) including a series of refocusing RF pulses. A single echo signal is generated in the time interval between two consecutive refocusing RF pulses. The first echo signals from the object (10) are acquired at a first receive bandwidth using unipolar readout magnetic field gradients. The object (10) is further subject to a second imaging sequence (32), which includes a series of refocusing RF pulses. A pair of second echo signals is generated in each time interval between two consecutive refocusing RF pulses. The pairs of second echo signals from the object (10) are acquired at a second receive bandwidth using bipolar readout magnetic field gradients. The second receive bandwidth is higher than the first receive bandwidth. Signal contributions from water protons and fat protons are separated and an MR image is reconstructed.

Abstract: A method for volumetric segmentation in a plurality of planar medical images includes, receiving, at an electronic processor, the plurality of planar medical images. A boundary of a candidate structure in the plurality of medical images is generated using a segmentation model. A first planar medical image from the plurality of planar medical images is displayed on a display. A user input is received using a user interface indicating a region in the first planar medical image. A first planar contour of the candidate structure is generated. The region is compared to the boundary. Responsive to the region being at least partially within the boundary, the first planar medical image is re-displayed on the display showing the first planar contour of the structure, and a finding record for the candidate structure including the boundary is generated.

Abstract: A method uses multiple patches fixed to a surface of a body, the patches including respective electrodes in contact with the surface, and at least one of the patches configured to output a signal in response to a magnetic field applied to the body. Initially, the signal is processed to compute first magnetic and first electrical locations of the at least one of the patches. Subsequently, the signal is processed to compute second magnetic and second electrical locations of the at least one of the patches. A first relation is computed between the first magnetic and electrical locations, and a second relation is computed between the second magnetic and electrical locations. When there is a difference between the first and the second relations, a magnetic location correction is computed responsively to the difference, and the correction is applied in tracking a position of a magnetic tracking sensor inside the body.