Abstract: The present disclosure provides systems, methods and media of optimization of temporary read errors (TRE) in three-dimensional (3D) NAND memory devices. The (3D) NAND memory devices comprises a plurality of memory cells arranged as an array of NAND memory strings, a plurality of word lines couple to the memory cells, and a controller. The controller is configured to determine whether a next read operation is a first read operation of the memory device after recovering from an idle state, and in response to a positive result of the determination, control the memory device to perform an extended pre-phase of the first read operation before a read-phase of the first read operation.

Abstract: Guidance may be provided to users, at least in part, by graphic overlays on displays of ultrasound images. The guidance may assist users in acquiring images suitable for making hepato-renal index (HRI) measurements. In some examples, the guidance may assist the user in finding the proper imaging plane including a portion of the liver and kidney. In some examples, the guidance may further assist the user in proper placement of regions of interest within the image for calculating the HRI, such as at the same depth and appropriate portions of the liver and kidney. In some examples, one or more processors may analyze the image to ensure the quality is suitable for calculating the HRI.

Abstract: An ultrasound imaging system may acquire an image of a liver. The liver may be segmented from the image. Parameters, such as image homogeneity map, intensity probability chart, and/or speckle size diagram, may be extracted from the liver portion of the image. The parameters may be used to determine whether fatty liver deposits are diffuse or inhomogeneous. In some examples, inhomogeneous regions may be excluded from the calculation of liver fat quantification measurements. In some examples, the inhomogeneous regions may be displayed so that a user may select a region of interest that excludes the inhomogeneous regions to calculate the liver fat quantification measurements.

Abstract: A method and system for image feature classification using a NN-based learning algorithms to make a decision about a feature in a medical image or image part. In particular, embodiments may make use of a phase of a multi-phasic image to improve classification accuracy. For instance, embodiments may combine different phases of multiphasic images as training data.

Abstract: The invention relates to a computerized method (200) for localizing a lesion in an organ of a subject, comprises performing: a first image registration operation (400) for determining a rigid transformation matrix based on alignment of a two-dimensional ultrasound (2D-US) image representation (116) and a three-dimensional computed tomography (3D-CT) image representation (120) of the organ, the 2D-US image representation (116) acquired from a transducer probe (114); a second image registration operation (500) for refining the rigid transformation matrix based on image feature descriptors of the 2D-US and 3D-CT image representations (116, 120); and a localization operation (600) for localizing the lesion relative to the transducer probe (114) based on the refined rigid transformation matrix and a 3D-CT position of the lesion in the 3D-CT image representation (120). A system for performing the method is also disclosed herein.

Abstract: The present disclosure generally relates to an automated method and system for generating a panoramic visualization of a coronary arterial tree of a subject. The method comprises: acquiring an image volume of a thoracic cavity of the subject, the image volume providing a three-dimensional (3D) representation of the thoracic cavity; isolating a coronary structure in the 3D representation by abating one or more other anatomical structures in the thoracic cavity; abating one or more portions of the coronary structure in the 3D representation that attenuate visualization of the coronary arterial tree; generating, by maximum intensity projection (MIP), a plurality of MIP images of the coronary structure from the 3D representation; and compositing the MIP images to generate the panoramic visualization of the coronary arterial tree.

Abstract: A method for assessing blood vessel stenosis using image data of a subject is disclosed. The image data represents a vascular structure of the subject. The method comprises: (a) segmenting, from the image data, a vessel segment representing a segment of a blood vessel, (b) obtaining, using the image data, a plurality of two-dimensional images of the vessel segment; said plurality of two-dimensional images representing respective cross-sections of the vessel segment, (c) identifying, for each of the plurality of two-dimensional images, a lumen area comprising lumen pixels representing a lumen of the corresponding cross-section, (d) obtaining a quantitative measure using the lumen areas of successive cross-sections of the vessel segment, and (e) assessing blood vessel stenosis using the quantitative measure. A computer system for performing the above method is disclosed.

Abstract: The present disclosure generally relates to an automated method and system for generating a panoramic visualization of a coronary arterial tree of a subject. The method comprises: acquiring an image volume of a thoracic cavity of the subject, the image volume providing a three-dimensional (3D) representation of the thoracic cavity; isolating a coronary structure in the 3D representation by abating one or more other anatomical structures in the thoracic cavity; abating one or more portions of the coronary structure in the 3D representation that attenuate visualization of the coronary arterial tree; generating, by maximum intensity projection (MIP), a plurality of MIP images of the coronary structure from the 3D representation; and compositing the MIP images to generate the panoramic visualization of the coronary arterial tree.

Abstract: A method for assessing blood vessel stenosis using image data of a subject is disclosed. The image data represents a vascular structure of the subject. The method comprises: (a) segmenting, from the image data, a vessel segment representing a segment of a blood vessel, (b) obtaining, using the image data, a plurality of two-dimensional images of the vessel segment; said plurality of two-dimensional images representing respective cross-sections of the vessel segment, (c) identifying, for each of the plurality of two-dimensional images, a lumen area comprising lumen pixels representing a lumen of the corresponding cross-section, (d) obtaining a quantitative measure using the lumen areas of successive cross-sections of the vessel segment, and (e) assessing blood vessel stenosis using the quantitative measure. A computer system for performing the above method is disclosed.

Abstract: A surgical training system and method. The system comprises means for recording reference data representing a reference manipulation of a computer generated model of an object by a master user; means for physically guiding a trainee user based on the recorded reference data during a training manipulation of the model of the object by the trainee user; and means for recording assessment data representing an assessment manipulation of the model of the object by the trainee user without guidance.

Abstract: A robotic device for use in image-guided robot assisted surgical training, the robotic device comprising a manual interface structure configured to simulate handling of a surgical tool; a translational mechanism for translational motion of the manual interface structure; a rotational mechanism for rotational motion of the manual interface structure; and a spherical mechanism configured to decouple the orientation of the manual interface structure into spatial coordinates, wherein a linkage between the rotational mechanism, the rotational mechanism and the spherical mechanism, and the manual interface structure are disposed on opposing sides of an intersection of a pitch axis and a yaw axis of the spherical mechanism.

Abstract: A robotic device for use in image-guided robot assisted surgical training, the robotic device comprising a manual interface structure configured to simulate handling of a surgical tool; a translational mechanism for translational motion of the manual interface structure; a rotational mechanism for rotational motion of the manual interface structure; and a spherical mechanism configured to decouple the orientation of the manual interface structure into spatial coordinates, wherein a linkage between the rotational mechanism, the rotational mechanism and the spherical mechanism, and the manual interface structure are disposed on opposing sides of an intersection of a pitch axis and a yaw axis of the spherical mechanism.

Abstract: A surgical training system and method. The system comprises means for recording reference data representing a reference manipulation of a computer generated model of an object by a master user; means for physically guiding a trainee user based on the recorded reference data during a training manipulation of the model of the object by the trainee user; and means for recording assessment data representing an assessment manipulation of the model of the object by the trainee user without guidance.