Abstract: A system and method include localization of a first frame of positron emission tomography data acquired by an imaging device to a first frame of Cartesian data, generation of a first Cartesian image volume based on the first frame of Cartesian data, display of the first Cartesian image volume, localization of a second frame of positron emission tomography data acquired by the imaging device to a second frame of Cartesian data, generation of a second Cartesian image volume based on the second frame of Cartesian data, and display of the combined Cartesian image volume.

Abstract: A displacement mechanism for placing an optical device onto a patient's eyes and removing the optical device from the patient's eyes when the patient is located in a patient bore of a medical imaging system. The mechanism includes a pneumatic device and a resilient element attached between an inner surface of the patient bore and the optical device wherein the resilient element extends through the pneumatic device and wherein the optical device is spaced apart from the patient's eyes in a first position. A pump inflates the pneumatic device to move the optical device to a second position wherein the optical device is placed on the patient's eyes. Inflation of the pneumatic device extends the resilient element and biases the resilient element to return to the first position. A vent valve vents air from the pneumatic device to return the optical device to the first position.

Abstract: Systems and methods of image reconstruction are disclosed. A positron emission tomography (PET) dataset is acquired from a PET imaging modality and a magnetic resonance imaging (MRI) dataset is obtained from an MRI modality. The MRI dataset is registered to the PET dataset. An MRI reconstructed image is generated from the MRI dataset and is registered to the PET dataset. An iterative reconstruction process is applied to the PET dataset using the MRI reconstructed image as guidance. The iterative reconstruction process includes one or more similarity coefficients and a spatially variant adaptive hyperparameter is calculated for each iteration of the iterative reconstruction process. A reconstructed image is output from the iterative reconstruction process.

Abstract: A system and method include association of imaging event data to one of a plurality of bins based on a time associated with the imaging event data, determination that the time periods of a first bin and the time periods of a second bin are adjacent-in-time, determination of whether a spatial characteristic of the imaging event data of the first bin is within a predetermined threshold of the spatial characteristic of the imaging event data of the second bin, and, based on the determination, reconstruction of one or more images based on the imaging event data of the first bin and the second bin.

Abstract: Various systems and computer-implemented methods for Radio Frequency (RF) coil attenuation correction are disclosed. PET time-of-flight (TOF) data generated by a PET imaging modality collocated with an MR imaging modality is received. RF coil attenuation data is extracted from the PET TOF data and an initial RF coil attenuation map is generated. A trained model configured to improve a signal to noise ratio of the initial RF coil attenuation map is applied to generate a final RF coil attenuation map. Attenuation correction of the PET TOF data is performed based on the final RF coil attenuation map. An image is reconstructed from attenuation corrected PET TOF data.

Abstract: A medical imaging system that includes a gantry having an inner bore surface that defines a bore for receiving a patient, wherein a digital display is attached to the inner bore surface of the bore. The system also includes a patient bed for moving the patient into the bore. Further, visual content is displayed on the display that has a calming effect on the patient.

Abstract: A fluid coolant system for a gantry of a medical imaging apparatus cools scalable detector electronic assemblies (DEAs) within the gantry. Each DEA includes therein a first chill plate for cooling detector elements and a second chill plate for cooling electronic components and power supplies. Coolant flow cascades sequentially through the first chill plate and then through the second chill plate. Plural DEAs in an interconnected chain cascade coolant in sequence through all their first chill plates, before cascading the coolant through all their second chill plates. A matrix of the scalable DEAs are circumferentially and axially oriented within the imaging system's gantry, for any axial length scanning field of the imaging apparatus.

Abstract: A phantom is suitable for registration of a plurality of modalities of a multimodality imaging system. The phantom comprises a plurality of markers, which are embedded in a holding structure. The plurality of markers can be placed in a vertical drilling of the holding structure. Furthermore, the plurality of markers may be arranged in the form of a helix. The markers may be placed in drillings of the holding structure, wherein the direction of the drillings is perpendicular to the axis of the helix.

Abstract: For training to and/or estimating location, energy level, and/or time of occurrence of incident radiation on a solid-state detector, a machine-learned model, such as a neural network, performs the inverse problem. An estimate of the location, energy level, and/or time is output by the machine-learned model in response to input of the detected signal (e.g., voltage over time). The estimate may account for material property variation of the solid-state detector in a rapid and easily calculated way, and with a minimal amount of data.

Abstract: The power supply in ultrasound imaging includes a switched capacitance. The capacitance is switched on to provide power during generation of pushing pulses for elasticity imaging and is switched off during other modes of imaging.

Abstract: For robust view classification and measurement estimation in sequential ultrasound imaging, the classification and/or measurements for a given image or sequence of images are gated. To prevent oscillation in results, the gating provides consistent output.

Abstract: A gantry tube for a medical imaging system. The gantry tube includes a first tube located within a second tube, wherein the first tube is oriented about a longitudinal axis of the system. The gantry tube also includes a plurality of wall elements that extend between the first and second tubes, wherein the walls and first and second tubes form a plurality of channels that extend in an axial direction substantially parallel to the longitudinal axis wherein each channel is configured to hold a detector of the system. A detector is inserted into or removed from an associated channel in an axial direction from either a first end or a second end of the gantry tube.

Abstract: For three-dimensional segmentation from two-dimensional intracardiac echocardiography imaging, the three-dimension segmentation is output by a machine-learnt multi-task generator. Rather than the brute force approach of training the generator from 2D ICE images to output a 2D segmentation, the generator is trained from 3D information, such as a sparse ICE volume assembled from the 2D ICE images. Where sufficient ground truth data is not available, computed tomography or magnetic resonance data may be used as the ground truth for the sample sparse ICE volumes. The generator is trained to output both the 3D segmentation and a complete volume (i.e., more voxels represented than in the sparse ICE volume). The 3D segmentation may be further used to project to 2D as an input with an ICE image to another network trained to output a 2D segmentation for the ICE image. Display of the 3D segmentation and/or 2D segmentation may guide ablation of tissue in the patient.

Abstract: Systems and methods to estimated mean randoms include acquisition of list mode data describing true coincidences and delay coincidences detected by a positron emission tomography scanner during a scan of an object, determination, for each crystal of the positron emission tomography scanner and for each of a plurality of time periods of the scan, of delay coincidences including the crystal based on the list mode data, determination, each crystal, of determine a singles rate associated with each time period based on the delay coincidences determined for the crystal over the time period, determination, for each time period, of determine estimated mean randoms for each of a plurality of pairs of the crystals based on the singles rate associated with the time period for each crystal of the crystal pair, and reconstruction of an image of the object based on the estimated mean randoms for each time period and the detected true coincidences.

Abstract: A framework for registering anatomical to functional images using deep learning. In accordance with one aspect, the framework extracts features by applying an anatomical image and a corresponding functional image as input to a first trained convolutional neural network. A deformation field is estimated by applying the extracted features as input to a second trained convolutional neural network. The deformation field may then be applied to the anatomical image to generate a registered anatomical image.

Abstract: Systems and methods to manufacture a collimator include deposition of a first layer of material in a first pattern, the first pattern comprising a first plurality of substantially parallel lines oriented in a first direction, and deposition of a second layer of material in a second pattern directly upon the first layer of material, the second pattern comprising a second plurality of substantially parallel lines oriented in a second direction different from the first direction. An area bounded by a first pair of the first plurality of substantially parallel lines and a second pair of the second plurality of substantially parallel lines intersecting the first pair defines a septum of the collimator.

Abstract: A framework for generating reasons for imaging studies. An extractor, including a reinforcement learning agent, is trained to select one or more relevant sentences from the training histories of present illness. An abstractor is further pre-trained to generate one or more reasons for study from the one or more relevant sentences. An entity linking system is pre-trained using medical text corpora to map one or more mentions in the one or more reasons for study to one or more standardized medical entities for predicting one or more diagnoses. The reinforcement learning agent may then be re-trained using one or more rewards generated by the entity linking system. One or more reasons for study may be generated from a current history of present illness using the trained extractor, abstractor and entity linking system.

Abstract: Compounds for targeting and agents for imaging, prostate-specific membrane antigen (PSMA) are disclosed. Methods of synthesizing compounds and imaging agents, as well as methods for imaging PSMA are also disclosed. The imaging agents disclosed are suitable for PET and SPECT imaging.

Abstract: A method for performing a partial scan of a patient using a PET/CT system includes receiving a selection of a region of interest for scanning and performing a CT scan over a region of interest with the PET/CT system to acquire raw CT data. The raw CT data is reconstructed into one or more CT images. The PET/CT system is configured to limit data collection to the region of interest. A PET scan limited to a region of interest is performed with the PET/CT system to acquire raw PET data. The raw PET data is reconstructed into one or more PET images of the region of interest.

Abstract: An improved method for time alignment (TA) procedure and crystal efficiency (CE) normalization estimation procedure for a PET scanner system is disclosed. In the TA procedure modeled time-of-flight (TOF) data are compared against the measured TOF data from an axially short cylinder phantom in order to find individual detector's time offsets (TOs). Then the TOs are estimated simultaneously by matching the TOF center of mass between the modeled and measured TOF data. In the CE estimation, TOF reconstruction of CBM data on the axially short cylinder phantom is performed. Alternating between TOF image reconstruction and CE updates eventually lead to the correct estimation of activity and CE component.