Abstract: Systems and methods are provided for inline process monitoring (e.g., remote inline process monitoring) for scalable and precision high-yield manufacturing. Antenna probes, such as millimeter (mm) wave (mmWave) antenna (mWA) probes, can be introduced into fabrication equipment to reveal the nature of hidden conductor and/or dielectric defects, as well as via-pad and/or device pad-trace misalignments, going beyond automated optical inspection (AOI) or contact probing.

Abstract: A deep learning model can be used for the identification of active contraction properties of the myocardium using limited clinical methods. A method for identifying the active contraction properties can include inputting a plurality of clinical metrics into a deep learning model. The method can further include inputting a representation of a cardiac cycle through a pressure volume-loop into the deep learning model. The deep learning model can include a first process layer with a first intermediate output and a second process layer that receives the first intermediate output as a first intermediate input. The method can further include outputting one or more contraction properties of the myocardium.

Abstract: A 3D anatomical model of one or more blood vessels of a patient may be obtained using CT angiography, while a 2D image of the blood vessels may be obtained based on fluoroscopy. The 3D model may be registered with the 2D image based on a contrast injection site identified on the 3D model and/or in the 2D image. A fused image may then be created to depict the overlaid 3D model and 2D image, for example, on a monitor or through a virtual reality headset. The injection site may be determined automatically or based on a user input that may include a bounding box drawn around the injection site on the 3D model, a selection of an automatically segmented area in the 3D model, etc.

Abstract: The present application provides apparatus for simulating radio-guided surgery using a light source (8) and a probe (13) having a light detector (16). Specifically, the apparatus includes a subject model (1) that has an enclosure (6) with an opening (4, 5) that extends from an exterior of the subject model (1) into the enclosure (6). The subject model (1) also includes a light source (8) that is disposed within the enclosure (6). The apparatus also includes a probe (13) for deployment by a user through the opening (4, 5) into the enclosure (6). The probe (13) has a light detector (16) configured to detect light emitted by the light source (8) for localization of the light source (8) within the enclosure (6).

Abstract: The present application relates to the field of biomedical engineering. Disclosed are an individual impedance-based radio-frequency heating temperature field prediction method and system which greatly improve the rate and accuracy of temperature distribution prediction. The method of the present application comprises: creating a first region; obtaining a position of an ablation needle, and with the ablation needle as a center, creating a second region in the first region; keeping the electrical conductivity within the second region constant, and adjusting the electrical conductivity in the first region such that impedance between the ablation needle and an earth pole is consistent with real individual impedance actually measured by a treatment system; performing mesh division on a combination of the first region and the second region and performing coupling computation using a radio-frequency field model and a biological heat transfer model to obtain temperature field time-space information.

Abstract: Techniques that facilitate altering a targeted brain therapeutic are provided. In one example, a system determines parameter data associated with a circuit model of a biological brain. The system also simulates the circuit model based on the parameter data to generate treatment data associated with the biological brain.

Abstract: Described herein are systems, methods, and instrumentalities associated with processing medical chest images such as chest X-ray (CXR) images. Segmentation models derived via a deep learning process are used to segment the chest images and obtain a rib segmentation result and a lung segmentation result for each image. The rib segmentation result may include a rib sequence identified in the image while the lung segmentation result may include one or more lung fields identified in the image. The quality of each chest image (e.g., whether the image reflects a breath-holding state of the patient) may then be determined based on whether a sufficient number of ribs in the rib segmentation result overlap with the lung fields in the lung segmentation result. The segmentation results may be obtained in a coarse-to-fine manner, e.g., by first determining a large rib area and then further segmenting the large rib area to identify each individual rib.

Abstract: Disclosed is an ulcer model used to practice a procedure including hemorrhage arrest, the ulcer model including a model main body which includes upper and lower surfaces facing each other and a tubular simulated blood vessel path provided between the upper surface and the lower surface and having an inlet opening and an outlet opening. The upper surface includes a ring-shaped raised surface that rises in a thickness direction of the model main body and a simulated ulcer surface that is a recessed bottom surface surrounded by the raised surface. The simulated blood vessel path extends from a part other than the upper surface of the surfaces of the model main body to the simulated ulcer surface or an area in the vicinity of the inside thereof.

Abstract: A system and method for pre-operatively optimizing a fit of an orthopaedic implant relative to a particular individuals anatomy is provided.

Abstract: An image analyzer detects a lesion for each frame (tomographic image). When the lesion is detected, lesion information (detection flag, position information, and size information) is produced. An indication controller causes a mark surrounding the lesion to be displayed when it is judged that a mark display condition is satisfied, based on the lesion information or the like. The indication controller causes the mark to be deleted from a screen when detection of the lesion is continued and a mark display restriction condition is satisfied.

Abstract: Biological system information retrieval system and method thereof disclosed. The biological system information retrieval system may include a query inputting unit, configured for inputting a retrieval query being described to have at least one of a current state and an expected result, a query parsing unit, configured for extracting a token for the current state and the expected result from the retrieval query, and generating at least one of a first corpus data set for the current state and a second corpus data set for the expected result by using the token, and a retrieval requesting unit, configured for inputting at least one of the first corpus data set and the second corpus data set and an option value being generated according to a predetermined syntax to an information management device in order to retrieve a biological system information having similarity.

Abstract: Disclosed are a positron emission tomography system and an image reconstructing method using the same and the positron emission tomography system includes: a collection unit collecting a positron emission tomography sinogram (PET sinogram); an image generation unit applying the positron emission tomography sinogram to an MLAA with TOF and generating a first emission image and a first attenuation image and a NAC image reconstructed without attenuation correction; and a control unit selecting at least one of the first emission image, the first attenuation image and the NAC image generated by the image generation unit as an input image and generating and providing a final attenuation image by applying the input image to the learned deep learning algorithm.

Abstract: Systems and methods may be used to perform robot-aided surgery. A system may include a display device and a computing device including a memory device with instructions. The instructions can cause the system to access surgical data, calculate medial and lateral gap data, calculate a recommended component set, and generate a graphical user interface. Accessing surgical data can include accessing soft tissue data indicative of at least tension in soft tissues surrounding a surgical location. The graphical user interface can include an interactive trapezoidal graphic overlaid onto a graphical representation of a distal femur and a proximal tibia. The interactive trapezoidal graphic can include a graphical representation of a medial total gap, a lateral total gap, and a recommended spacer size. The interactive trapezoidal graphic can update in response to adjustments in implant parameters to assist in surgical planning.

Abstract: Disclosed is a medical imaging system (100, 300). The execution of machine executable instructions (120) causes a processor (104) to: receive (200) measured magnetic resonance imaging data (122) descriptive of a first region of interest (307) of a subject (318); receive (202) a B0 map (124), a T1 map (126), a T2 map (128), and a magnetization map (130) each descriptive of a second region of interest (309) of the subject; receive (204) pulse sequence commands (132); calculate (206) a simulated magnetic resonance image (136) of an overlapping region of interest (311) using at least the B0 map, the T1 map, the T2 map, the magnetization map, and the pulse sequence commands as input to a Bloch equation model (134); and reconstruct (208) a corrected magnetic resonance image from the measured magnetic resonance imaging data for the overlapping region of interest by solving an inverse problem.

Abstract: Systems and methods of valve quantification are disclosed. In one embodiment, a method of mitral valve quantification is provided. The method includes generating a 3-D heart model, defining a 3-D mitral valve annulus, fitting a plane through the 3-D mitral valve annulus, measuring the distance between at least two papillary muscle heads, defining an average diameter of at least one cross section around the micro valve annulus, and determining a size of an implant to be implanted.

Abstract: Systems are provided for generating data representing electromagnetic states of a heart for medical, scientific, research, and/or engineering purposes. The systems generate the data based on source configurations such as dimensions of, and scar or fibrosis or pro-arrhythmic substrate location within, a heart and a computational model of the electromagnetic output of the heart. The systems may dynamically generate the source configurations to provide representative source configurations that may be found in a population. For each source configuration of the electromagnetic source, the systems run a simulation of the functioning of the heart to generate modeled electromagnetic output (e.g., an electromagnetic mesh for each simulation step with a voltage at each point of the electromagnetic mesh) for that source configuration.

Abstract: Biological System information retrieval system and method thereof disclosed. The biological system information retrieval system may include a query inputting unit, configured for inputting a retrieval query being described to have at least one of a current state and an expected result, a query parsing unit, configured for extracting a token for the current state and the expected result from the retrieval query, and generating at least one of a first corpus data set for the current state and a second corpus data set for the expected result by using the token, and a retrieval requesting unit, configured for inputting at least one of the first corpus data set and the second corpus data set and an option value being generated according to a predetermined syntax to an information management device in order to retrieve a biological system information having similarity.

Abstract: A virtual try-on process for spectacles includes an approximate positioning and a fine positioning of a spectacle frame on a head of a user. Provided for this purpose are 3D models of the head and the spectacle frame, as well as head metadata based on the model of the head and frame metadata based on the model of the frame. The head metadata contains placement information, in particular a placement point, which can be used for the approximate positioning of the spectacle frame on the head, and/or a placement region which describes a region of the earpiece part of the frame for placement on the ears of the head. A rapid and relatively simple computational positioning of the spectacle frame on the head and a more accurate positioning using a subsequent precise adjustment can be achieved with the aid of the metadata.

Abstract: Techniques facilitating attention based sequential image processing are provided. A system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise an initialization component that can perform self-attention based training on a model that comprises context information associated with a sequence of images. Images of the sequence of images can be selected during the self-attention based training. The computer executable components can also comprise a localization component that can extract local information from the images selected during the self-attention based training based on the context information. In addition, the computer executable components can also comprise an integration component that can update the model based on an end-to-end integrated attention training framework comprising the context information and the local information.

Abstract: A virtual reality surgical navigation method includes the steps of preparing a multi dimension virtual model associated with an anatomy inside of patient; receiving data indicative of a surgeon's current head position, including direction of view and angle of view; rendering a first virtual three-dimensional image from the virtual model, the virtual three-dimensional image being representative of an anatomical view from a first perspective at a location inside the patient, wherein the perspective is determined by data indicative of the surgeon's current head position; communicating the first rendered virtual image to a virtual headset display; receiving data input indicative of the surgeon's head moving to a second position, wherein the head movement comprises at least one of a change in angle of view and a change in direction of view; and rendering a second virtual three-dimensional image from the virtual model, the second virtual three-dimensional image being representative of an anatomical view from a seco

Abstract: Methods of manufacturing a custom arthroplasty resection guide or jig are disclosed herein. For example, one method may include: generating MRI knee coil two dimensional images, wherein the knee coil images include a knee region of a patient; generating MRI body coil two dimensional images, wherein the body cod images include a hip region of the patient, the knee region of the patient and an ankle region of the patient; in the knee coil images, identifying first locations of knee landmarks; in the body coil images, identifying second locations of the knee landmarks; run a transformation with the first and second locations, causing the knee coil images and body coil images to generally correspond with each other with respect to location and orientation.

Abstract: A method and system are presented for performing virtual surgery simulations. The computer system includes a processor and a memory. The method includes receiving user input from a user via a user interface. The user input includes input representing surgical operations or non-surgical invasive procedures. The method also includes processing the user input and utilizing the input to generate or modify a computational model. The method also includes running simulations using the computational model in accordance with the user input. After running the simulations, the method further includes determining results from the simulations. The results correspond to probable effects or outcomes of performing real life surgical operations or non-surgical invasive procedures corresponding to the user input. Last, the method includes presenting the results to the user via the user interface.

Abstract: A surgical apparatus includes a surgical device and a surgical controller. The surgical device is configured to be manipulated by a user to perform a soft tissue cutting procedure on a patient. The surgical controller is programmed to create a virtual object representing an anatomy of the patient based upon data acquired during a pre-operative scan and associate the virtual object with the anatomy of the patient. The surgical controller is also programmed to identify a plurality of soft tissue attachment points on the virtual object which correspond to a plurality of soft tissue attachment points on the anatomy of the patient. The surgical controller is also programmed to determine the location of the surgical device in relation to the anatomy of the patient and provide real-time visualization on the virtual object of the location of the surgical device in relation to the anatomy of the patient.

Abstract: Disclosed are a positron emission tomography system and an image reconstructing method using the same and the positron emission tomography system includes: a collection unit collecting a positron emission tomography sinogram (PET sinogram); an image generation unit applying the positron emission tomography sinogram to an MLAA with TOF and generating a first emission image and a first attenuation image; and a control unit selecting at least one of the first emission image and the first attenuation image generated by the image generation unit as an input image and generating and providing a final attenuation image by applying the input image to the learned deep learning algorithm.

Abstract: A method and system for simulating blood flow in a vessel of a patient to estimate hemodynamic quantities of interest using enhanced blood flow computations based on invasive physiological measurements of the patient is disclosed. Non-invasive patient data including medical image data is received and a patient-specific anatomical model the patient's vessels is generated. Invasive physiological measurements of the patient are received and a computational blood flow model is personalized using the invasive physiological measurements. Blood flow is simulated in the patient-specific anatomical model and one or more hemodynamic quantities of interest are computed using the personalized computational blood flow model.

Abstract: The present disclosure includes methods and systems for identifying and manipulating a segment of a three-dimensional digital model based on soft classification of the three-dimensional digital model. In particular, one or more embodiments of the disclosed systems and methods identify a soft classification of a digital model and utilize the soft classification to tune segmentation algorithms. For example, the disclosed systems and methods can utilize a soft classification to select a segmentation algorithm from a plurality of segmentation algorithms, to combine segmentation parameters from a plurality of segmentation algorithms, and/or to identify input parameters for a segmentation algorithm. The disclosed systems and methods can utilize the tuned segmentation algorithms to accurately and efficiently identify a segment of a three-dimensional digital model.

Abstract: A radiation dosage monitoring system comprising a 3D camera operable to obtain images of a patient undergoing radiation treatment, the 3D camera being operable to detect Cherenkov radiation and any subsequent secondary and scattered radiation originating due the initial Cherenkov radiation emitted from a surface of the patient when the patient is irradiated by a radiation beam; and a processing module operable to process the images obtained by the 3D camera utilizing data indicative of chromophores present in a patient's skin to apply a correction factor to such images to account for absorption of Cherenkov radiation by chromophores in the skin when utilizing the images to generate a representation of radiation applied to the surface of the patient.

Abstract: Techniques facilitating attention based sequential image processing are provided. A system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise an initialization component that can perform self-attention based training on a model that comprises context information associated with a sequence of images. Images of the sequence of images can be selected during the self-attention based training. The computer executable components can also comprise a localization component that can extract local information from the images selected during the self-attention based training based on the context information. In addition, the computer executable components can also comprise an integration component that can update the model based on an end-to-end integrated attention training framework comprising the context information and the local information.

Abstract: Electrocardiogram (ECG)-gated cardiac magnetic resonance imaging (MRI) alone may be unable to capture the hemodynamics associated with arrhythmic events. As a result, values such as ejection fraction are acquisition dependent. The desired RR-duration determines the arrhythmia rejection. By combining real-time volume measurements with ECG recordings, beat morphologies can be categorized and a more comprehensive evaluation of ventricular function during arrhythmia can be provided.

Abstract: A surgical navigation system and method for identifying positions on a patient, including a processor, and a tracking system for tracking a pointer tool. The processor is programmed to initialize a surface trace acquisition, continuously record the positions of the pointer tool during the surface, conduct trace acquisition, combine the positions recorded during the surface trace acquisition into a surface trace, receive a patient image of the patient, extract a surface from the patient image, compute a registration transform between the surface traces and the surface for patient registration, segment the patient image into a regions where each region contains an anatomical landmark, determine a spatial distribution of surface traces among the regions; determine whether the spatial distribution in relation to each region minimizes deviance below a threshold, and if the determination is exceeding the threshold, provide information relating to such region.

Abstract: A processing device generates a visual overlay comprising a virtual model of a dental arch that represents a treatment outcome for the dental arch. The processing device outputs the visual overlay to an augmented reality (AR) display or virtual reality (VR) display. The processing device receives user input based on a user interaction with the virtual model of the dental arch, wherein the user input modifies the virtual model of the dental arch and determines an update to the treatment outcome for the dental arch based on a user input. The processing device generates an updated treatment plan based on the update to the treatment outcome and updates the visual overlay, wherein the updated visual overlay comprises a view of the dental arch after the updated treatment outcome.

Abstract: A method, device and non-transitory digital storage medium for estimating non-aqueous tissue volume of at least a portion of a subject. The method includes, in a processing unit, obtaining quantitative magnetic resonance properties of the portion of the subject, providing the quantitative magnetic resonance properties as input to a tissue model, and determining the non-aqueous tissue volume of the portion based on the tissue model and the quantitative magnetic resonance properties.

Abstract: During operation, a system iteratively captures MR signals of one or more types of nuclei in one or more portions of a biological lifeform based on scanning instructions that correspond to a dynamic scan plan. The MR signals in a given iteration may be associated with voxels having associated sizes at three-dimensional (3D) positions in at least a corresponding portion of the biological lifeform. If the system detects a potential anomaly when analyzing the MR signals from the given iteration, the system dynamically modifies the scan plan based on the detected potential anomaly, a medical history and/or an MR-scan history. Subsequent measurements of MR signals may be associated with the same or different: types of nuclei, portions of the biological lifeform, voxels sizes and/or 3D positions.

Abstract: A magnetic resonance imaging (MRI) apparatus and a magnetic resonance spectroscopic method are provided. The MRI apparatus includes a data collector configured to obtain reference data of reference substances, and obtain measurement data of a target region of a subject. The MRI apparatus further includes a processor configured to determine a reference substance of the target region, among the reference substances, and a concentration of the reference substance, using the reference data, the measurement data, and an external factor compensation value compensating an external factor affecting the measurement data.

Abstract: Systems and methods of valve quantification are disclosed. In one embodiment, a method of mitral valve quantification is provided. The method includes generating a 3-D heart model, defining a 3-D mitral valve annulus, fitting a plane through the 3-D mitral valve annulus, measuring the distance between at least two papillary muscle heads, defining an average diameter of at least one cross section around the micro valve annulus, and determining a size of an implant to be implanted.

Abstract: A method of tracking a medical instrument comprises receiving a model of an anatomical passageway formation and receiving a set of ordered sensor records for the medical instrument. The set of ordered sensor records provide a path history of the medical instrument. The method further comprises registering the medical instrument with the model of the anatomical passageway formation based on the path history.

Abstract: A method for improving the image quality of a three-dimensional magnetic resonance image dataset recorded with a magnetic resonance device, wherein, from at least one correction image dataset recorded with a modality other than magnetic resonance imaging, registered with the magnetic resonance image dataset, showing at least partly the same recording region as the magnetic resonance image dataset, especially an x-ray image dataset, relevant material parameters are derived locally-resolved for the magnetic resonance imaging, which are used for establishing a virtual magnetic resonance comparison dataset in a simulation wherein, as a function of a comparison between the magnetic resonance image dataset and the magnetic resonance comparison dataset, at least one measure parameter describing an image quality improvement measure to be applied in the k-space is determined and the image quality improvement measure is carried out with the measure parameter relating to the magnetic resonance image dataset.

Abstract: A method of producing a dental splint comprising the steps of: obtaining a set of 3D surface data, the 3D surface data representing a surface of a patient's oral situation, and generating a support structure model in dependence on the 3D surface data, and producing the dental splint in dependence on the support structure model, wherein a 3D distance map image of the 3D surface data is used to generate the support structure model.

Abstract: A method includes registering a first coordinate system of a fluoroscopic imaging system and a second coordinate system of a magnetic position tracking system. A three-dimensional (3D) map of an organ of a patient is computed using the magnetic position tracking system. A field-of-view (FOV) of the fluoroscopic imaging system in the second coordinate system is calculated using the registered first and second coordinate systems. Based on the 3D map and the calculated FOV, a two-dimensional (2D) image that simulates a fluoroscopic image that would be generated by the fluoroscopic imaging system is created, and the 2D image that simulates the fluoroscopic image is displayed.

Abstract: Systems, methods, and media for detecting an anatomical object in a medical device image are provided. In some embodiments, system for detecting an anatomical object in a medical device image are provided, the systems comprising: at least one hardware processor that: applies the medical device image to a classifier having a plurality of stages, wherein a first stage of the plurality of stages and a second stage of the plurality of stages each includes a strong learner formed from a plurality of weak learners, and the weak learners in the second stage include a plurality of the weak learners included in the first stage; and identifies the medical device image as being positive or negative of showing the anatomical object based on the application the medical device image to be classifier.

Abstract: To make it possible to generate slice data without the need to modify a polygon mesh that does not satisfy conditions of a perfect solid model. A slice data generator for generating slice data representing a cross section cut from a three-dimensional modeled object, wherein the slice data generator has: changing means for changing topology information of a polygon mesh so that a contour polyline is obtained indicating a contour line of a cut cross section of the polygon mesh; and modifying means for acquiring the contour polyline from the polygon mesh, the topology information of the polygon mesh having been changed by the changing means, and modifying the contour polyline so that an inside which is a region inside the acquired contour polyline can be normally filled; slice data being generated on the basis of the contour polyline modified by the modifying means.

Abstract: A method and system are presented for performing virtual surgery simulations. The computer system includes a processor and a memory. The method includes receiving user input from a user via a user interface. The user input includes input representing surgical operations or non-surgical invasive procedures. The method also includes processing the user input and utilizing the input to generate or modify a computational model. The method also includes running simulations using the computational model in accordance with the user input. After running the simulations, the method further includes determining results from the simulations. The results correspond to probable effects or outcomes of performing real life surgical operations or non-surgical invasive procedures corresponding to the user input. Last, the method includes presenting the results to the user via the user interface.

Abstract: A system and method for visualization of cardiac changes under various pacing conditions for intervention planning and guidance is disclosed. A patient-specific anatomical heart model is generated based on medical image data of a patient. A patient-specific computational model of heart function is generated based on patient-specific anatomical heart model. A virtual intervention is performed at each of a plurality of positions on the patient-specific anatomical heart model using the patient-specific computational model of heart function to calculate one or more cardiac parameters resulting from the virtual intervention performed at each of the plurality of positions. One or more outcome maps are generated visualizing, at each of the plurality of positions on the patient-specific anatomical heart model, optimal values for the one or more cardiac parameters resulting from the virtual intervention performed at the that position on the patient-specific anatomical heart model.

Abstract: High intensity focused ultrasound (HIFU) is registered with imaging. The effects of transmission from a HIFU transducer, such as a rise in temperature, are detected by a separate imaging system. By using multiple transmissions, a plurality of locations of the transmissions from the HIFU transducer are determined within the imaging system coordinates. A transform relating the imaging system coordinates to the HIFU transducer coordinates is determined from the detected effects. The transform may be used to relate locations indicated in images of the imaging system with coordinates of the HIFU transducer for application of HIFU. The imaging system may not have to scan the HIFU transducer or fiducials and a fixed relationship may not be needed.

Abstract: Systems and methods for ultrasound image rendering are provided. One system includes a user interface having a display configured to display ultrasound images for a volume data set and a content detection module configured to detect an object within the volume data set. The system also includes an image-processing module configured to receive ultrasound signals from a diagnostic probe and process the signals to generate the ultrasound images. The image-processing module is further configured to locally change an opacity function of the displayed ultrasound image based on the detected object to change an opacity of a subset of voxels in the volume data set.

Abstract: There is provided an image processing device including a movement section which scrolls a medical image on a screen, and a display control section which, in a case where the medical image is scrolled on the screen, controls a display section to display the medical image in a manner that an observation reference position of a diagnosis region of the medical image passes through a display reference position of a display region of the screen.

Abstract: The invention relates to a rendering system (100) for rendering a view from an image dataset, the rendering system comprising a selecting unit (110) for selecting a subset of the image dataset, a computing unit (120) for computing a first principal axis of a tensor on the basis of the subset of the image dataset, and a rendering unit (130) for rendering the view on the basis of the first principal axis. Using the information about the directionality and orientation of a structure, comprised in the selected subset of the image dataset and extracted from the first principal axis of the tensor, the rendering system (100) is arranged to effectively assist the user in selecting an advantageous view from the image dataset.

Abstract: Systems and methods are disclosed for evaluating cardiovascular treatment options for a patient. One method includes creating a three-dimensional model representing a portion of the patient's heart based on patient-specific data regarding a geometry of the patient's heart or vasculature; and for a plurality of treatment options for the patient's heart or vasculature, modifying at least one of the three-dimensional model and a reduced order model based on the three-dimensional model. The method also includes determining, for each of the plurality of treatment options, a value of a blood flow characteristic, by solving at least one of the modified three-dimensional model and the modified reduced order model; and identifying one of the plurality of treatment options that solves a function of at least one of: the determined blood flow characteristics of the patient's heart or vasculature, and one or more costs of each of the plurality of treatment options.

Abstract: A method, apparatus, article of manufacture, and computer program product display multiple slices of a three-dimensional body in a computer drawing application. A first view of a 3D body is displayed. One or more slice sketches are defined on the first view. A single slice view of the three dimensional body is displayed. The single slice view simultaneously depicts all of the slices with a zero-depth representation of each slice.

Abstract: According to an aspect of the present inventive concept there is provided a method of performing diffusion weighted magnetic resonance measurements on a sample, the method includes performing diffusion weighted magnetic resonance measurements on the sample, where the measurements include a first measurement with a first diffusion encoding sequence having a first diffusion weighting tensor representation B1 with at least two non-zero eigenvalues and a second measurement with a second diffusion encoding sequence having a second diffusion weighting tensor representation B2 with at least two non-zero eigenvalues.