Abstract: For registration of medical images with deep learning, a neural network is designed to include a diffeomorphic layer in the architecture. The network may be trained using supervised or unsupervised approaches. By enforcing the diffeomorphic characteristic in the architecture of the network, the training of the network and application of the learned network may provide for more regularized and realistic registration.

Abstract: Systems and methods for performing a medical imaging analysis task using a machine learning based motion model are provided. One or more medical images of an anatomical structure are received. One or more feature vectors are determined. The one or more feature vectors are mapped to one or more motion vectors using the machine learning based motion model. One or more deformation fields representing motion of the anatomical structure are determined based on the one or more motion vectors and at least one of the one or more medical images. A medical imaging analysis task is performed using the one or more deformation fields.

Abstract: Systems and methods for performing a medical imaging analysis task using a machine learning based motion model are provided. One or more medical images of an anatomical structure are received. One or more feature vectors are determined. The one or more feature vectors are mapped to one or more motion vectors using the machine learning based motion model. One or more deformation fields representing motion of the anatomical structure are determined based on the one or more motion vectors and at least one of the one or more medical images. A medical imaging analysis task is performed using the one or more deformation fields.

Abstract: A method and system for personalized computation of tissue ablation extent based on medical images of a patient is disclosed. A patient-specific anatomical model of the liver and liver vessels is estimated from medical image data of a patient. Blood flow in the liver and liver vessels is simulated. An ablation simulation is performed that uses a bio-heat model to simulate heat diffusion due to an ablation based on the simulated blood flow and a cellular necrosis model to simulate cellular necrosis in the liver based on the simulated heat diffusion. Personalized tissue parameters of the bio-heat model and the cellular necrosis model are estimated based on observed results of a preliminary ablation procedure. Planning of the ablation procedure is then performed using the personalized bio-heat equation and the cellular necrosis model. The model can be subsequently refined as more ablation observations are obtained.

Abstract: For registration of medical images with deep learning, a neural network is designed to include a diffeomorphic layer in the architecture. The network may be trained using supervised or unsupervised approaches. By enforcing the diffeomorphic characteristic in the architecture of the network, the training of the network and application of the learned network may provide for more regularized and realistic registration.

Abstract: A method and system for tumor ablation planning and guidance based on a patient-specific model of liver tumor ablation is disclosed. A patient-specific anatomical model of the liver and circulatory system of the liver is estimated from 3D medical image data of a patient. Blood flow in the liver and the circulatory system of the liver is simulated based on the patient-specific anatomical model. Heat diffusion due to ablation is simulated based on a virtual ablation probe position and the simulated blood flow in the liver and the venous system of the liver. Cellular necrosis in the liver is simulated based on the simulated heat diffusion. A visualization of a simulated necrosis region is generated and displayed to the user for decision making and optimal therapy planning and guidance.

Abstract: A method and system for personalized computation of tissue ablation extent based on medical images of a patient is disclosed. A patient-specific anatomical model of the liver and liver vessels is estimated from medical image data of a patient. Blood flow in the liver and liver vessels is simulated. An ablation simulation is performed that uses a bio-heat model to simulate heat diffusion due to an ablation based on the simulated blood flow and a cellular necrosis model to simulate cellular necrosis in the liver based on the simulated heat diffusion. Personalized tissue parameters of the bio-heat model and the cellular necrosis model are estimated based on observed results of a preliminary ablation procedure. Planning of the ablation procedure is then performed using the personalized bio-heat equation and the cellular necrosis model. The model can be subsequently refined as more ablation observations are obtained.

Abstract: A method and system for tumor ablation planning and guidance based on a patient-specific model of liver tumor ablation is disclosed. A patient-specific anatomical model of the liver and circulatory system of the liver is estimated from 3D medical image data of a patient. Blood flow in the liver and the circulatory system of the liver is simulated based on the patient-specific anatomical model. Heat diffusion due to ablation is simulated based on a virtual ablation probe position and the simulated blood flow in the liver and the venous system of the liver. Cellular necrosis in the liver is simulated based on the simulated heat diffusion. A visualization of a simulated necrosis region is generated and displayed to the user for decision making and optimal therapy planning and guidance.

Abstract: A method for mosaicing frames from a video sequence is disclosed. Each frame is constituted by a point cloud, and each point in the point cloud is potentially acquired at a different time. The method involves compensating for motion and motion distortion due to acquisition time differences in each frame, applying a global optimization of inter-frame registration to align consistently the frames, and applying a reconstruction algorithm on the registered frames to construct a mosaic.

Abstract: The present invention concerns a mosaicing method taking into account motion distortions, irregularly sampled frames and non-rigid deformations of the imaged tissue. The invention relates to a method for mosaicing frames from a video sequence acquired from a scanning device such as a scanning microscope, the method comprising the steps of: a) compensating for motion and motion distortion due to the scanning microscope, b) applying a global optimisation of inter-frame registration to align consistently the frames c) applying a construction algorithm on the registered frames to construct a mosaic, and d) applying a fine frame-to-mosaic non rigid registration. The method is based on a hierarchical framework that is able to recover a globally consistent alignment of the input frames, to compensate for the motion distortions and to capture the non-rigid deformations.

Abstract: A mosaicing method taking into account motion distortions, irregularly sampled frames and non-rigid deformations of the imaged tissue. The method for mosaicing frames from a video sequence acquired from a scanning device such as a scanning microscope, includes the steps of: a) compensating for motion and motion distortion due to the scanning microscope, b) applying a global optimization of inter-frame registration to align consistently the frames c) applying a construction algorithm on the registered frames to construct a mosaic, and d) applying a fine frame-to-mosaic non rigid registration. The method is based on a hierarchical framework that is able to recover a globally consistent alignment of the input frames, to compensate for the motion distortions and to capture the non-rigid deformations.

Abstract: The invention relates to a method for measuring the speed of a particle such as a red blood cell moving inside a flow such as a flow of the blood, using a light scanning microscope. The inventive method comprises the following steps: acquisition of an image by x and y light scanning on a plane containing the object; detection on the plane (x, y) of a mark on the plane (x, y); estimation of the speed vg of the object from the gradient thus determined.

Abstract: The invention concerns an image processing device, including an input for receiving a time series of data sets representing comparable volume digital images, each data having a position component and an intensity component, pre-processing means for modifying the data sets so as to obtain images updated in position and intensity, and comparative processing means for examining sets of time series of image elements and to detect therein signs of variations. The processing means include a modeling function for adjusting a parametric model separately on some of the sets of time series of image elements, to obtain pairs of data (image element, time) and a function for statistical analysis of said pairs of data to isolate the pairs of data representing a significant variation.

Abstract: The present invention concerns a mosaicing method taking into account motion distortions, irregularly sampled frames and non-rigid deformations of the imaged tissue. The invention relates to a method for mosaicing frames from a video sequence acquired from a scanning device such as a scanning microscope, the method comprising the steps of: a) compensating for motion and motion distortion due to the scanning microscope, b) applying a global optimisation of inter-frame registration to align consistently the frames c) applying a construction algorithm on the registered frames to construct a mosaic, and d) applying a fine frame-to-mosaic non rigid registration. The method is based on a hierarchical framework that is able to recover a globally consistent alignment of the input frames, to compensate for the motion distortions and to capture the non-rigid deformations.

Abstract: The invention relates to a method for measuring the speed of a particle such as a red blood cell moving inside a flow such as a flow of the blood, using a light scanning microscope. The inventive method comprises the following steps: acquisition of an image by x and y light scanning on a plane containing the object; detection on the plane (x, y) of a mark on the plane (x, y); estimation of the speed vg of the object from the gradient thus determined.

Abstract: The invention relates to the simulation of the deformation of materials, notably of soft body tissues. An apparatus comprises a memory (MEM, NT) storing data as to the position of an object, recorded at the vertices of a grid pattern, and data for force to be exerted on the object. A computer (?P, MT) evaluates new positions of the vertices, as a function of a force exerted globally and mechanical parameters of the material. According to the invention, this computer comprises a module for calculating, for each mesh, a deviation between the current length of an edge and its previous length, and the force data at each vertex of the mesh. Another module calculates, for each vertex, new positional data relating to this vertex as a function of the forces exerted thereon and its previous position.

Abstract: The invention concerns an image processing device, including an input for receiving a time series of data sets representing comparable volume digital images, each data having a position component and an intensity component, pre-processing means (18) for modifying the data sets so as to obtain images updated in position and intensity, and comparative processing means (20) for examining sets of time series of image elements and to detect therein signs of variations. The processing means (20) include a modeling function (12) for adjusting a parametric model separately on some of the sets of time series of image elements, to obtain pairs of data (image element, time) and a function for statistical analysis (14) of said pairs of data to isolate the pairs of data representing a significant variation.

Abstract: An electronic device for processing image data, particularly image data pertaining to medical procedures, includes a user interface with force feedback (4) corresponding to tool reactions, a “collision” module (18) for estimating a point of intersection between a straight line embodying a displacement derived from the action of the tool and a surface mesh of a given object, and an internal forces module (16) which estimates internal forces exerted on nodes of a first part of at least a volume mesh of the object, on the basis of a displacement applied on nodes pertaining to the surface mesh containing a point of intersection, of boundary conditions, and of node tensors and link tensors, from matrices of rigidity, and a reaction module (20) for determining the reaction force of the object corresponding to its deformation estimated on the basis of the internal forces, such that the force generated by the user interface (4) is balanced by reaction force.

Abstract: An electronic data processing device receives first and second data sets representing first and second comparable digital images. It comprises registration means comprising a first module which calculates a main function representative of the correlation ratios between the data of the first and second sets, and a second module which determines a registration transformation between one of the images and the other from the main function.

Abstract: The invention relates to the simulation of the deformation of materials, notably of soft body tissues. An apparatus comprises a memory zone (MEM, NT) storing data as to the position of an object, recorded at the vertices of a grid pattern, and data for force to be exerted on the object. A computer (&mgr;P, MT) evaluates new positions of the vertices, as a function of a force exerted globally and mechanical parameters of the material. According to the invention, this computer comprises a module for calculating, for each mesh, a deviation between the current length of an edge and its previous length, and the force data at each vertex of the mesh. Another module calculates, for each vertex, new positional data relating to this vertex as a function of the forces exerted thereon and its previous position.