Abstract: A computer-implemented method includes generating, via a processor, synthetic vessels. The method also includes performing, via the processor, three-dimensional (3D) computational fluid dynamics (CFD) on the synthetic vessels for different flow rates to generate 3D CFD data. The method further includes extracting, via the processor, 3D image patches from the synthetic vessels. The method even further includes obtaining, via the processor, pressure drops across the 3D image patches from the 3D CFD data. The method yet further includes training, via the processor, a deep neural network utilizing the 3D image patches, the pressure drops, and associated flow rates to generate a trained deep neural network.

Abstract: A method for determining a recurrence of a disease in a patient is presented. The method includes generating a plurality of medical images of an organ of the patient and determining a plurality of recurrence probabilities from the plurality of medical images. A recurrence of the disease is determined based on the plurality of recurrence probabilities and clinicopathological data of the patient using a Bayesian network.

Abstract: A method for determining a recurrence of a disease in a patient is presented. The method includes generating a plurality of medical images of an organ of the patient and determining a plurality of recurrence probabilities from the plurality of medical images. A recurrence of the disease is determined based on the plurality of recurrence probabilities and clinicopathological data of the patient using a Bayesian network.

Abstract: A method for determining a recurrence of a disease in a patient includes generating a medical image of an organ of the patient and then extracting an invasive edge around an area of interest in the medical image. A plurality of radiomics features is obtained from the invasive edge and the recurrence of the disease is determined based on the plurality of radiomics features.

Abstract: An intraoperative specimen imaging system is provided. The intraoperative specimen imaging system includes a mammography imaging system configured to acquire imaging data. The intraoperative specimen imaging system also includes a specimen holding system configured to hold a tissue sample, wherein the specimen holding system is retrofittedly coupled to the mammography imaging system, wherein the intraoperative specimen imaging system is configured to acquire imaging data for generating three-dimensional (3D) images of the tissue sample.

Abstract: A computer-implemented method includes generating, via a processor, synthetic vessels. The method also includes performing, via the processor, three-dimensional (3D) computational fluid dynamics (CFD) on the synthetic vessels for different flow rates to generate 3D CFD data. The method further includes extracting, via the processor, 3D image patches from the synthetic vessels. The method even further includes obtaining, via the processor, pressure drops across the 3D image patches from the 3D CFD data. The method yet further includes training, via the processor, a deep neural network utilizing the 3D image patches, the pressure drops, and associated flow rates to generate a trained deep neural network.

Abstract: A computer-implemented method includes obtaining, via a processor, segmented image patches of a vessel along a coronary tree path and associated coronary flow distribution for respective vessel segments in the segmented image patches. The method also includes determining, via the processor, a pressure drop distribution along an axial length of the vessel from the segmented image patches and the associated coronary flow distribution. The method further includes determining, via the processor, critical points in the pressure drop distribution. The method even further includes detecting, via the processor, a presence of a stenosis based on the critical points in the pressure drop distribution.

Abstract: A neuroactivity monitoring system includes a camera configured to acquire image data of a patient positioned on the patient support and a monitoring device in communication with the camera. The monitoring device uses the acquired image data of the camera to identify and track patient landmarks, such as facial and/or posture landmarks, and, based on the tracked movement, characterize patient neuroactivity.

Abstract: An intraoperative specimen imaging system is provided. The intraoperative specimen imaging system includes a mammography imaging system configured to acquire imaging data. The intraoperative specimen imaging system also includes a specimen holding system configured to hold a tissue sample, wherein the specimen holding system is retrofittedly coupled to the mammography imaging system, wherein the intraoperative specimen imaging system is configured to acquire imaging data for generating three-dimensional (3D) images of the tissue sample.

Abstract: The disclosed systems and methods for monitoring a patient in a medical setting may include various types of sensors that obtain data indicative of one or more patient parameters and one or more environmental parameters. One or more processors may process the data to identify a correlation, or causal relationship, between the one or more patient parameters and the one or more environmental parameters. Thus, the systems and methods may be used to identify particular environmental parameters that affect a particular patient to facilitate creation of a suitable environment for the particular patient. The disclosed monitoring systems and methods may be especially useful for sensitive, high-risk, and/or non-verbal patients, such as infants in a neonatal intensive care unit (NICU).

Abstract: A neuroactivity monitoring system includes a camera configured to acquire image data of a patient positioned on the patient support and a monitoring device in communication with the camera. The monitoring device uses the acquired image data of the camera to identify and track patient landmarks, such as facial and/or posture landmarks, and, based on the tracked movement, characterize patient neuroactivity.

Abstract: The disclosed systems and methods for monitoring a patient in a medical setting may include various types of sensors that obtain data indicative of one or more patient parameters and one or more environmental parameters. One or more processors may process the data to identify a correlation, or causal relationship, between the one or more patient parameters and the one or more environmental parameters. Thus, the systems and methods may be used to identify particular environmental parameters that affect a particular patient to facilitate creation of a suitable environment for the particular patient. The disclosed monitoring systems and methods may be especially useful for sensitive, high-risk, and/or non-verbal patients, such as infants in a neonatal intensive care unit (NICU).

Abstract: An imaging assembly includes a compression system configured to receive and compress an object to be imaged. The compression system includes a first compression paddle and a second compression paddle. The imaging assembly further includes an ultrasound system including a first ultrasound probe coupled to the first compression paddle. The first ultrasound probe is configured to acquire a first portion of the ultrasound image information of the object. The ultrasound system also includes a second ultrasound probe coupled to the second compression paddle. The second ultrasound probe is configured to acquire a second portion of the ultrasound image information of the object.

Abstract: A method of breast image reconstruction includes positioning a breast on an imaging system support plate, compressing the breast with a flexible paddle, obtaining imaging data, estimating a breast thickness profile by at least one of placing markers on the breast, performing an image-based analysis of the obtained data, using an auxiliary system, and performing a model-based computation. The three-dimensional (3D) reconstruction including using a thickness profile of the breast surface in at least one of an iterative reconstruction, a filtered back-projection reconstruction, and a joint reconstruction performed using information obtained from an ultrasound scan. A non-transitory medium having executable instructions to cause a processor to perform the method is also disclosed.

Abstract: A method of breast image reconstruction includes positioning a breast on an imaging system support plate, compressing the breast with a flexible paddle, obtaining imaging data, estimating a breast thickness profile by at least one of placing markers on the breast, performing an image-based analysis of the obtained data, using an auxiliary system, and performing a model-based computation. The three-dimensional (3D) reconstruction including using a thickness profile of the breast surface in at least one of an iterative reconstruction, a filtered back-projection reconstruction, and a joint reconstruction performed using information obtained from an ultrasound scan. A non-transitory medium having executable instructions to cause a processor to perform the method is also disclosed.

Abstract: An imaging assembly includes a compression system configured to receive and compress an object to be imaged. The compression system includes a first compression paddle and a second compression paddle. The imaging assembly further includes an ultrasound system including a first ultrasound probe coupled to the first compression paddle. The first ultrasound probe is configured to acquire a first portion of the ultrasound image information of the object. The ultrasound system also includes a second ultrasound probe coupled to the second compression paddle. The second ultrasound probe is configured to acquire a second portion of the ultrasound image information of the object.

Abstract: An ultrasound scan probe and support mechanism are provided for use in a multi-modality mammography imaging system, such as a combined tomosynthesis and ultrasound imaging system. In one embodiment, the ultrasound components may be positioned and configured so as not to interfere with the tomosynthesis imaging operation, such as to remain out of the X-ray beam path. Further, the ultrasound probe and associated components may be configured to as to move and scan the breast tissue under compression, such as under the compression provided by one or more paddles used in the tomosynthesis imaging operation.

Abstract: A method of breast image reconstruction includes positioning a breast on an imaging system support plate, compressing the breast with a flexible paddle, obtaining imaging data, estimating a breast thickness profile by at least one of placing markers on the breast, performing an image-based analysis of the obtained data, using an auxiliary system, and performing a model-based computation. The three dimensional reconstruction including using a thickness profile of the breast surface in at least one of an iterative reconstruction, a filtered back-projection reconstruction, and a joint reconstruction performed using information obtained from an ultrasound scan. A non-transitory medium having executable instructions to cause a processor to perform the method is also disclosed.

Abstract: The present disclosure relates to the manufacture and use of a non-rigid breast compression paddle, such as a compression paddle having a mesh material forming the primary interface with patient tissue. In certain implementations, an automatic feedback driven approach may be used in conjunction with such a compression paddle for compressing breast tissue.

Abstract: A method of breast image reconstruction includes positioning a breast on an imaging system support plate, compressing the breast with a flexible paddle, obtaining imaging data, estimating a breast thickness profile by at least one of placing markers on the breast, performing an image-based analysis of the obtained data, using an auxiliary system, and performing a model-based computation. The three dimensional reconstruction including using a thickness profile of the breast surface in at least one of an iterative reconstruction, a filtered back-projection reconstruction, and a joint reconstruction performed using information obtained from an ultrasound scan. A non-transitory medium having executable instructions to cause a processor to perform the method is also disclosed.