Abstract: Methods and systems for separating a 3D liver object are disclosed. A 3D liver object and selected associated vascular and other anatomic structures are displayed in a 3D space which is rendered on a 2D display screen. One or more 3D separating surfaces are placed in the 3D space based on anatomic structural landmarks that are segmented automatically or interactively, where each of the 3D separating surfaces intersects with the 3D liver object at a corresponding 3D pose. The 3D liver object into at least two sub-segments based on the 3D separating surfaces, which can be individually and independently adjusted directly in the 3D space, in real-time, and interactively by a user based on 3D and/or 2D information related to the 3D liver object, and the selected associated vascular and other anatomic structures.

Abstract: Methods, systems, and programs for real-time surgical procedure assistance are provided. A first set of 3D poses of the 3D points on the organ may be received. An electronic organ map built for the organ via pre-surgical medical information may be retrieved. A tissue parameter of the organ may be obtained based on the first set of 3D poses and their corresponding 3D poses from the electronic organ map. A deformation transformation of the electronic organ map may be calculated based on the obtained tissue parameter and the first set of 3D poses during the surgical procedure. The deformed electronic organ map may be projected onto the organ with respect to the first set of 3D poses during the surgical procedure.

Abstract: A method and system is provided for processing function on demand operation. A user interface at a user site is initiated. A selection of a processing function associated with an application is received via the user interface. A processing function on-demand (PFOD) request is transmitted via a network connection to request the selected processing function. As a response to the PFOD request, a processing function on-demand (PFOD) delivery including the selected processing function is sent. When the PFOD delivery is received, the selected processing function is utilized at the user site.

Abstract: A procedure for image segmentation of a lung in tomosynthesis images includes determining a focal plane image of a lung from among a plurality of tomosynthesis images, determining boundaries of the lung in the focal plane image based on a sequence of best-path algorithms cascaded together, assembling the tomosynthesis images to obtain a 3D image of the lung, determining a boundary of a rib in the 3D image of the lung , and segmenting the lung based on the boundaries of the lung and the boundary of the rib. A procedure for detecting nodules in tomosynthesis images includes generating a blurred nodule template, generating a blurred vessel template and a blurred rib template, determining, based on the blurred nodule template, a nodule candidate in 3D image of a lung, and determining, based on the blurred vessel template and a blurred rib template, that the nodule candidate is a nodule.

Abstract: A procedure for pre-operating assessment of one or more anatomical structures generated from medical images and provided in a rendered 3D space, and an imaging system, apparatus, and computer program, that operate in accordance with the procedure. The procedure comprises providing one or more safety margin indicators in the rendered 3D space, each having a shape corresponding to that of a respective one of the anatomical structures within an organ and having a predetermined size of safety margin from the respective one of the anatomical structures. The procedure also comprises manipulating at least one of the shape and predetermined size of safety margin of at least one of the safety margin indicators in the rendered 3D space, and immediately providing a rendering in the 3D space of a manipulated version of the at least one safety margin indicator. Also provided is a procedure for defining at least one cutting surface to resect one or more medical anatomical structures using an imaging system.

Abstract: A method and system is provided for image segmentation for liver objects. Segmentation is performed to obtain a first set of objects relating to liver. More than one types in association with one of the first set of objects are identified. Landmarks are identified based on the segmented first set of objects or the different types of one of the first set of objects. A second set of objects including liver lobes are segmented based on the landmarks.

Abstract: A method and system is provided for data/process sharing. A decapsulating unit is provided and resides on first system where a first application system resides. The decapsulating unit monitors, on the first system, when encapsulated data from a second application system residing on a second system, is present in the first application system. The encapsulated data, once present on the first system, is decapsulated by the decapsulating unit to obtain a trigger corresponding to the second application system and encapsulated in the encapsulated data. The obtained trigger is analyzed and the second application system is launched on the first system based on the trigger.

Abstract: Method and system for 3D data editing is disclosed. A 3D volumetric data is rendered in a rendering space. A 2D graphical drawing tool is selected and used to create a 2D structure. Apply a 3D operation to the 3D volumetric data based on the 2D structure.

Abstract: Method and system for quality assurance in lesion marking is disclosed. A marking is created based on a patient study on display in a manner in accordance with an electronically enforced protocol. One or more features are generated based on the marking. Quality of the marking is assessed based on such computed one or features.

Abstract: The present invention describes a method and system for intelligent diagnostic relevant information processing and analysis. Information associated with a patient is processed via an image reading platform. Based on such processed information, a matrix of diagnosis decisions containing diagnostic related information is generated via a matrix of diagnosis decision platform. A diagnostic decision is made based on the diagnostic relevant information. The image reading platform and/or the matrix of diagnosis decision platform encapsulate information and toolkits to be used to manipulate the information.

Abstract: Method and system for multiple volume exploration is disclosed. A first 3D volume is rendered in a first region. One or representations are displayed in a second region, where each representation signifies a stack of 2D images. A first stack represents one or more 2D images of cross sections of a certain orientation from the first 3D volume. Each of the other stacks includes one or more 2D images of cross sections of the same orientation from a 3D volume related to the first 3D volume.

Abstract: Method and system for lesion detection is disclosed. A lesion is detected from each data set in the spatial domain based on an organ intensity subtracted (OIST) image. In the temporal domain, the lesion is detected based on a maximum frequency-magnitude difference (MFMD) map across a plurality of data sets. The detection result from the spatial domain and the detection result from the temporal domain are integrated to produce an integrated lesion detection result.

Abstract: The present invention describes a method and system for intelligent diagnostic relevant information processing and analysis. Information associated with a patient is processed via an image reading platform. Based on such processed information, a matrix of diagnosis decisions containing diagnostic related information is generated via a matrix of diagnosis decision platform. A diagnostic decision is made based on the diagnostic relevant information. The image reading platform and/or the matrix of diagnosis decision platform encapsulate information and toolkits to be used to manipulate the information.

Abstract: The present invention describes a method and system for intelligent diagnostic relevant information processing and analysis. Information associated with a patient is processed via an image reading platform. Based on such processed information, a matrix of diagnosis decisions containing diagnostic related information is generated via a matrix of diagnosis decision platform. A diagnostic decision is made based on the diagnostic relevant information. The image reading platform and/or the matrix of diagnosis decision platform encapsulate information and toolkits to be used to manipulate the information.

Abstract: An Intelligent Qualitative and Quantitative Analysis (IQQA) system and method is disclosed that allows a user to specify certain identifying information used to search and obtain medically-related information from different sources. The medically-related information may be of different types and may be dynamically fused, when needed, to generate matrices of diagnostic information. Medical decisions such as a diagnostic decision may be made based on such matrices of diagnostic information.