Abstract: A method for determining material properties of a plurality of tissues in a subject includes receiving a first sequence of cardiovascular images of a region of interest of the subject and a first set of pressure data associated with the first sequence of cardiovascular images and receiving a second sequence of cardiovascular images of the region of interest of the subject and a second set of pressure data associated with the second sequence of cardiovascular images. The method can further include transforming, using a processor, the first sequence of cardiovascular images to a first three-dimensional (3D) finite element (FE) mesh with heterogeneous material distribution, transforming, using the processor, the second sequence of cardiovascular images to a second 3D FE mesh with heterogeneous material distribution, and performing, using the processor, an iterative optimization process on the first and second 3D FE meshes to determine one or more material properties of at least one of the plurality of tissues.

Abstract: A system for completing a medical image having at least one obscured region includes an input for receiving a first classification map generated using an acquired optical coherence tomography (OCT) image having at least one obscured region, the acquired OCT image acquired using an imaging system and a pre-processing module coupled to the input and configured to create an obscured region mask. The pre-processing module also generates a second classification map that has the at least one obscured region filled in. The system also includes a generative network coupled to the pre-processing module and configured to generate a synthetic OCT image based on the second classification map and a post-processing module coupled to the generative network. The post-processing module is configured to receive the synthetic OCT image and the acquired OCT image and to generate a completed image based on the synthetic OCT image and the acquired OCT image.

Abstract: A method, including: obtaining, by a processor, imaging data from a vessel; detecting, using the processor, an inner wall of the vessel based on the imaging data; identifying, using the processor, a plurality of visible edge portions of an outer wall of the vessel based on the imaging data; fitting, using the processor, a continuous surface model to the plurality of identified visible edge portions of the outer wall; and detecting, using the processor, the outer wall of the vessel based on fitting the continuous surface model to the plurality of identified visible edge portions of the outer wall such that the imaging data has defined therein a wall area between the inner wall and the outer wall of the vessel.

Abstract: A method, including: obtaining, by a processor, imaging data from a vessel; detecting, using the processor, an inner wall of the vessel based on the imaging data; identifying, using the processor, a plurality of visible edge portions of an outer wall of the vessel based on the imaging data; fitting, using the processor, a continuous surface model to the plurality of identified visible edge portions of the outer wall; and detecting, using the processor, the outer wall of the vessel based on fitting the continuous surface model to the plurality of identified visible edge portions of the outer wall such that the imaging data has defined therein a wall area between the inner wall and the outer wall of the vessel.