Abstract: The methods, systems, and computer readable media discussed herein are directed to determining a capacity of a network having solutions from available network options for meeting an expected demand increase for the network. Performance parameters, such as current traffic congestion level and current throughput level, may be evaluated based on the current network information of the network, and solutions, or builds, specific to the network may be obtained to maintain a given network quality level at the expected demand increase based on available network options specific to the network.

Abstract: A computer-implemented method for performing deformable registration between Magnetic Resonance (MR) and Ultrasound (US) images include receiving an MR volume depicting an organ and segmenting the organ from the MR volume to yield a first 3D point representation of the organ in MR coordinates. Additionally, a US volume depicting an organ is received and the organ is segmented from the US volume to yield a second 3D point representation of the organ in US coordinates. Next, a plurality of point correspondences between the first 3D point representation and the second 3D point representation are determined. Then, a biomechanical model is applied to register the MR volume to the US volume. The plurality of point correspondences are used as displacement boundary conditions for the biomechanical model.

Abstract: For liver modeling from medical scan data, multiple modalities of imaging are used. By using multiple modalities of imaging in combination with generative modeling, a more comprehensive and informed assessment may be performed. The generative modeling may allow feedback of effects of proposed therapy on function of the liver. This feedback is used to update the liver function information based on the imaging. Based on the computerized modeling with information from various imaging modes, an output based on more comprehensive information and patient personalized modeling and feedback may be provided to assist the physician.

Abstract: Imaging from sequential scans is aligned based on patient information. A three-dimensional distribution of a patient-related object or objects, such as an outer surface of the patient or an organ in the patient, is stored with any results (e.g., images and/or measurements). Rather than the entire scan volume, the three-dimensional distributions from the different scans are used to align between the scans. The alignment allows diagnostically useful comparison between the scans, such as guiding an imaging technician to more rapidly determine the location of a same lesion for size comparison.

Abstract: A computer-implemented method for image-guided delivery of a nanoparticle mixture to a target tumor located in a region of interest includes selecting a non-hypoxic delivery location within the region of interest for delivery of a non-bacteria-associated nanoparticle component included in the nanoparticle mixture and selecting a hypoxic delivery location within the region of interest for delivery of a bacteria-associated nanoparticle component included in the nanoparticle mixture. An image-guided delivery and monitoring process may then be performed.

Abstract: A method and system for registering a pre-operative 3D medical image volume of a target organ to intra-operative ultrasound images is disclosed. An intra-operative 3D B-mode ultrasound volume and an intra-operative 3D ultrasound elastography volume are acquired. Patient-specific boundary conditions for a biomechanical tissue model of a target organ are determined using the intra-operative 3D B-mode volume. Patient-specific material properties for the biomechanical tissue model of the target organ are determined using the 3D ultrasound elastography volume. The target organ in the pre-operative 3D medical image volume is deformed using the biomechanical tissue model with the patient-specific material properties with the deformation of the target organ in the pre-operative 3D medical image volume constrained by the patient-specific boundary conditions.

Abstract: The methods, systems, and computer readable media discussed herein are directed to determining a capacity of a network having solutions from available network options for meeting an expected demand increase for the network. Performance parameters, such as current traffic congestion level and current throughput level, may be evaluated based on the current network information of the network, and solutions, or builds, specific to the network may be obtained to maintain a given network quality level at the expected demand increase based on available network options specific to the network.

Abstract: An artificial agent based cognitive operating room system and a method thereof providing automated assistance for a surgical procedure are disclosed. Data related to the surgical procedure from multiple data sources is fused based on a current context. The data includes medical images of a patient acquired using one or more medical imaging modalities. Real-time quantification of patient measurements based on the data from the multiple data sources is performed based on the current context. Short-term predictions in the surgical procedure are forecasted based on the current context, the fused data, and the real-time quantification of the patient measurements. Suggestions for next steps in the surgical procedure and relevant information in the fused data are determined based on the current context and the short-term predictions. The suggestions for the next steps and the relevant information in the fused data are presented to an operator.

Abstract: For quantification of blood flow by an ultrasound system, B-mode images generated with a multi-transmit, coherent image formation produce swirling or other speckle patterns in the blood regions. These patterns, as represented in specially formed B-mode images, are tracked over time to indicate two or three-dimensional velocity vectors of the blood at a B-mode resolution. Various visualizations may be provided at the same resolution, including the velocity flow field, flow direction, vorticity, vortex size, vortex shape, and/or divergence.

Abstract: Systems and methods are provided for utilizing an MRI image and real-time an ultrasound images to guide and/or restrict the movement of an ultrasound probe in position for collecting a biopsy core. A real-time ultrasound image is acquired and fused with pre-operative imaging modalities, such as an MRI image, to provide a three-dimensional model of the prostate. A multi-link robotic arm is provided with an end-effector and an ultrasound probe mounted thereto. Sensor information is used to track the ultrasound probe position with respect to the 3D model. The robotic arm allows for the implementation of a virtual remote center of motion (VRCM) about the transrectal probe tip, an adjustable compliant mode for the physician triggered movement of probe, a restrictive trajectory of joints of the robotic arm and active locking for stationary imaging of the prostate.

Abstract: An apparatus and method for tracking the position and orientation of one or more objects in three dimensional space is disclosed. One or more tracked sensor units are each connected with a respective object. Each tracked sensor unit includes one or more light sources and an inertial measurement unit. One or more position sensitive detector tracking devices track the position of the tracked sensor units. Each position sensitive detector tracking device includes a plurality of position sensitive detector sensors combined with optical lenses that focus light from a larger field of view onto each position sensitive detector sensor. The position and orientation of each object in three-dimensional space is calculated from the output of the inertial measurement unit of the respective tracked sensor unit and the output of the one or more position sensitive detector tracking devices in response to light emitted from the one or more light sources of the respective tracked sensor unit.

Abstract: Methods and systems are provided for registration of preoperative images to ultrasound images. The preoperative images are segmented using a shape model. An ultrasound procedure is performed to acquire the ultrasound images. The path of an ultrasound transducer used in the ultrasound procedure is tracked. The path is used to deform the segmented preoperative images, providing an alignment. The ultrasound images are registered to the preoperative images using the alignment.

Abstract: A computer-implemented method for performing deformable registration between Magnetic Resonance (MR) and Ultrasound (US) images include receiving an MR volume depicting an organ and segmenting the organ from the MR volume to yield a first 3D point representation of the organ in MR coordinates. Additionally, a US volume depicting an organ is received and the organ is segmented from the US volume to yield a second 3D point representation of the organ in US coordinates. Next, a plurality of point correspondences between the first 3D point representation and the second 3D point representation are determined. Then, a biomechanical model is applied to register the MR volume to the US volume. The plurality of point correspondences are used as displacement boundary conditions for the biomechanical model.

Abstract: A computer-implemented method for image-guided delivery of a nanoparticle mixture to a target tumor located in a region of interest includes selecting a non-hypoxic delivery location within the region of interest for delivery of a non-bacteria-associated nanoparticle component included in the nanoparticle mixture and selecting a hypoxic delivery location within the region of interest for delivery of a bacteria-associated nanoparticle component included in the nanoparticle mixture. An image-guided delivery and monitoring process may then be performed.

Abstract: A computer-implemented method for image-guided delivery of a nanoparticle mixture to a target tumor located in a region of interest includes selecting a non-hypoxic delivery location within the region of interest for delivery of a non-bacteria-associated nanoparticle component included in the nanoparticle mixture and selecting a hypoxic delivery location within the region of interest for delivery of a bacteria-associated nanoparticle component included in the nanoparticle mixture. An image-guided delivery and monitoring process may then be performed.

Abstract: A method for reconstructing 3-D vessel geometry of a vessel includes: receiving a plurality of 2-D rotational X-ray images of the vessel; extracting vessel centerline points for normal cross sections of each of the plurality of 2-D images; establishing a correspondence of the centerline points; constructing a 3-D centerline vessel tree skeleton of the vessel; constructing an initial 3-D vessel surface having a uniform radius normal to the 3-D centerline vessel tree skeleton; and constructing a target 3-D vessel surface by deforming the initial vessel surface to provide a reconstructed 3-D vessel geometry of the vessel.

Abstract: For liver modeling from medical scan data, multiple modalities of imaging are used. By using multiple modalities of imaging in combination with generative modeling, a more comprehensive and informed assessment may be performed. The generative modeling may allow feedback of effects of proposed therapy on function of the liver. This feedback is used to update the liver function information based on the imaging. Based on the computerized modeling with information from various imaging modes, an output based on more comprehensive information and patient personalized modeling and feedback may be provided to assist the physician.

Abstract: Pose of an ultrasound transducer is recovered. In one approach, inertial measurement units are positioned on the ultrasound transducer. The measurements from the inertial measurement units are used with pose or measurements from another position sensor (e.g., x-ray, electromagnetic, or optical) to improve accuracy and/or provide pose information at a greater rate. In another approach, a curve, line, or other connected shape of light emitting diodes are incorporated into the transducer. Optical tracking, with a filter specific to the light emitting diodes, using the connected shape pattern is used to determine the pose.

Abstract: For simpler scanning in 3D ultrasound imaging, free hand 3D ultrasound imaging is used. Various registration techniques, such as filtering of position signals based on density of scanning and/or counteracting depth deformation due to pressure, may be used for aligning frames relative to each other in 3D space. To deal with curvature of the skin surface resulting in different frames of data representing the same locations, the frames are grouped by orientation. Data representing the same locations in frames of the same or similar orientation are combined. Frame groups of different orientations but of a same sweep of the transducer along the skin are combined into a volume. Volumes from different sweeps are combined. For combining data representing a same location, the values are weighted based on the likelihoods of ultrasound values representing different locations being accurate or correct.

Abstract: A method of registering a 3-dimensional (3D) model of a coronary artery tree with 2-dimensional (2D) images includes solving for matrices R, Pi, i=1, . . . , N, that minimize a cost function ?i=1N??iRX?IiPi?2,1 subject to constraints that R?conv(SO(3)), Pi?[0,1]ni×m, and Pi1?1, 1TPi=1, for i?{1, N}, where N is a number of 2D images, R is a rotation matrix, conv(SO(3)) denotes a convex hull of the special orthogonal group in 3 dimensions, X denotes a 3D centerline model of a coronary artery tree, Ii denotes the ith 2D image, ?i denotes a transformation between the 3D centerline model X and the ith 2D image Ii, 1 is an all-ones vector, Pi is a permutation matrix, and rounding a solution R to a nearest orthogonal matrix R* in SO(3), where R* aligns the 3D centerline model X of the coronary artery tree with 2D fluoroscopic images acquired during a percutaneous coronary intervention procedure.