A method includes applying both a first dedicated functional-anatomical registration scheme to a first volume of interest to deform the first volume of interest and a second dedicated functional-anatomical registration scheme to a second volume of interest to deform the second volume of interest, wherein the first volume of interest at least partially encompasses the second volume of interest. The method includes identifying or segmenting relevant organs or anatomical structures related to a first group and a second group in the first volume of interest and the second volume of interest, respectively; generating a spatially smooth-transition weight mask that gives higher weight to image data corresponding to the identified or segmented relevant organs or anatomical structures related to the first group and the second group; and generating a final cohesive registered image volume from the first image volume and the second image volume utilizing the spatially smooth-transition weight mask.

An inference model construction method obtains a distribution of control points pertaining to a reference state and a distribution of the control points pertaining to a defined state with respect to a defined representation model. The method extracts a first feature value based on the distribution of the control points pertaining to the reference state. The method machine-learns the distribution of the control points pertaining to the defined state while using, as a label, the first feature value, and constructs an inference model based on a result of the leaning performed with respect to a plurality of the defined representation models.

The present disclosure may provide a system. The system may obtain a first image of a first region of a subject and a second image of a second region of the subject. The first region and the second region may have an overlapping region. The system may generate a first corrected image by correcting the first image based on the second image and a second corrected image by correcting the second image based on the first image. The system may generate a combined image by combining the first corrected image and the second corrected image.

Systems, computer-implemented methods, apparatus and/or computer program products are provided that facilitate improving the accuracy of global positioning system (GPS) coordinates of indoor photos. The disclosed subject matter further provides systems, computer-implemented methods, apparatus and/or computer program products that facilitate generating exterior photos of structures based on GPS coordinates of indoor photos.

Embodiments of the present invention are directed to beautifying freeform input paths in accordance with paths existing in the drawing (i.e., resolved paths). In some embodiments of the present invention, freeform input paths of a curved format can be modified or replaced to more precisely illustrate a path desired by a user. As such, a user can provide a freeform input path that resembles a path of interest by the user, but is not as precise as desired. Based on existing paths in the electronic drawing, a path suggestion(s) can be generated to rectify, modify, or replace the input path with a more precise path. In some cases, a user can then select a desired path suggestion, and the selected path then replaces the initially provided freeform input path.

A medical imaging system (200) includes a masking unit (234), an image registration unit (238), a motion estimator (240) and a motion compensating reconstructor (244). The masking unit constructs a mask for each reconstructed volumetric phase image of a plurality of reconstructed volumetric phase images that masks portions of a corresponding image external to an anatomical model fitted to a segmented at least one anatomical structure, 5 wherein the plurality of reconstructed volumetric phase images include a target phase and a plurality of temporal neighboring phases reconstructed from projection data. The image registration unit registers the masked reconstructed volumetric phase images. The motion estimator estimates motion between the target phase and the plurality of temporal neighboring phases according to the model based on the registered masked reconstructed 10 volumetric phase images. The motion compensating reconstructor reconstructs a motion compensated medical image from the projection data using the estimated motion of the registered masked reconstructed volumetric phase images.

Various aspects of a system and a method to provide assistance in a surgery in presence of tissue deformation are disclosed herein. In accordance with an embodiment, the system includes an electronic device that receives one or more tissue material properties of a plurality of surface structures of an anatomical portion. One or more boundary conditions associated with the anatomical portion may also be received. Surface displacement of the anatomical portion may be determined by matching a first surface of the anatomical portion before deformation with a corresponding second surface of the anatomical portion after the deformation. The volume displacement field of the anatomical portion may be computed based on the determined surface displacement, the received one or more tissue material properties, and the received one or more boundary conditions.

An image processing apparatus comprises a corresponding point determining unit configured to, for a plurality of points contained in a first image, search a second image for corresponding points; a transformation coefficient calculating unit configured to divide the plurality of corresponding points into groups, based on amounts of misalignment between the images at the corresponding points, and configured to calculates a coordinate transformation coefficient for each of the groups; and an image synthesizing unit configured to generate a synthesis image, using a plurality of the coordinate transformation coefficients and the second image.

A medical system may comprise a display system, a user input device, a medical instrument, and a manipulator assembly configured to support and operate the medical instrument. The medical system may also comprise a control system. The control system may be configured to display image data corresponding to a three-dimensional anatomical region via the display system, receive a first user input to generate a first curve in the three-dimensional anatomical region via the user input device, and receive a second user input to generate a second curve in the three-dimensional anatomical region via the user input device. The control system may also be configured to determine an anatomical boundary bounded by the first curve and the second curve. The control system may also be configured to control the manipulator assembly to operate medical instrument using the determined anatomical boundary to limit movement of the medical instrument.

A method for determining respiratory induced blood mass change from a four-dimensional computed tomography (4D CT) includes receiving a 4D CT image set which contains a first three-dimensional computed tomographic image (3D CT) and a second 3D CT image. The method includes executing a deformable image registration (DIR) function on the received 4D CT image set, and determining a displacement vector field indicative of the lung motion induced by patient respiration. The method further includes segmenting the received 3D CT images into a first segmented image and a second segmented. The method includes determining the change in blood mass between the first 3D CT image and the second 3D CT image from the DIR solution, the segmented images, and measured CT densities.