Abstract: Disclosed is a method and an apparatus for quantifying vascular fluid motions from digital subtraction angiography (DSA) images, comprising: calculating an optical flow field between two temporal consecutive DSA images; and estimating a displacement of blood or tissue between the two temporal consecutive DSA images from the calculated optical flow field, wherein the optical flow field is calculated by solving a minimization problem of a CLG energy function, wherein the CLG energy function combines the temporally extended variant of Horn-Schunck approach with Lucas-Kanade approach non-linearly in spatiotemporal approach. The present disclosure provides a new optical flow solution significantly reducing the computation cost with a high robustness for quantifying vascular fluid motions from DSA.

Abstract: Disclosed are a method and an apparatus for quantifying vascular fluid motions from digital subtraction angiography (DSA) images, comprising: calculating an optical flow field between two temporal consecutive DSA images; and estimating a displacement of blood or tissue between the two temporal consecutive DSA images from the calculated optical flow field, wherein the optical flow field is calculated by solving a minimization problem of a CLG energy function, wherein the CLG energy function combines the temporally extended variant of Horn-Schunck approach with Lucas-Kanade approach non-linearly in spatiotemporal approach. The present disclosure provides a new optical flow solution significantly reducing the computation cost with a high robustness for quantifying vascular fluid motions from DSA.

Abstract: Disclosed is a method and an apparatus for quantifying vascular fluid motions from digital subtraction angiography (DSA) images, comprising: calculating an optical flow field between two temporal consecutive DSA images; and estimating a displacement of blood or tissue between the two temporal consecutive DSA images from the calculated optical flow field, wherein the optical flow field is calculated by solving a minimization problem of a CLG energy function, wherein the CLG energy function combines the temporally extended variant of Horn-Schunck approach with Lucas-Kanade approach non-linearly in spatiotemporal approach. The present disclosure provides a new optical flow solution significantly reducing the computation cost with a high robustness for quantifying vascular fluid motions from DSA.

Abstract: A computer-implemented method for modeling an orthopedic cast, including scanning an injured limb to extract raw body data; determining, from the extracted raw body data, a target portion data of the injured limb, the determined data representing a fine cast surface for the orthopedic cast; patterning the fine cast surface to form a ventilation structure and a blank area thereon; forming an opening gap on the blank area for assembling and disassembling the orthopedic cast; and offsetting the cast surface in parallel to thicken the orthopedic cast.

Abstract: Disclosed is a method for non-rigid image registration, comprising: dividing a subject image and a target image into a plurality of subject sub-images and a plurality of target sub-images, respectively; registering, in parallel, each of the subject sub-images and the corresponding one of the target sub-images to obtain a transformation matrix of the each of the subject sub-images relative to the corresponding one of the target sub-images; transforming, based on by the obtained transformation matrices, the subject sub-images into images corresponding to the target sub-images; and merging the transformed images to form a final registered image having the resolution of the target image. A system and a device for non-rigid image registration are also enclosed within the disclosure.

Abstract: A computer-implemented method for modeling an orthopedic cast, including scanning an injured limb to extract raw body data; determining, from the extracted raw body data, a target portion data of the injured limb, the determined data representing a fine cast surface for the orthopedic cast; patterning the fine cast surface to form a ventilation structure and a blank area thereon; forming an opening gap on the blank area for assembling and disassembling the orthopedic cast; and offsetting the cast surface in parallel to thicken the orthopedic cast.

Abstract: Embodiments of the present disclosure provide a method for constructing brain templates. First, thousands of brain MRI images are collected. Then, the collected brain MRI images are preprocessed and normalized to construct brain templates. Further, the constructed brain templates include brain templates corresponding to different age and gender groups and brain tissue probability maps corresponding to different age and gender groups. Therefore, embodiments of the present disclosure can construct brain templates by using the large sample size of brain MRI data, and support clinical applications and brain researches.

Abstract: Disclosed are methods, systems and apparatuses for detection of arterial input function (AIF) in MRI, specially DCE MR images, comprising automatic selection of AIF based on affinity propagation (AP) clustering method.

Abstract: Disclosed are methods and apparatus for analyzing medical image change, particularly bone changes, either bone gain or loss. Disclosed also are methods and apparatus for bone registration of computed tomography (CT) images. These new methods and apparatus significantly improve the efficiency of current matching procedure.

Abstract: Disclosed are methods, systems and apparatuses for detection of arterial input function (AIF) in MRI, specially DCE MR images, comprising automatic selection of AIF based on affinity propagation (AP) clustering method.

Abstract: Disclosed are methods and apparatus for analyzing medical image change, particularly bone changes, either bone gain or loss. Disclosed also are methods and apparatus for bone registration of computed tomography (CT) images. These new methods and apparatus significantly improve the efficiency of current matching procedure.

Abstract: A method and a system for estimating a longitudinal relaxation time in magnetic resonance imaging. The method includes scanning at least one object to form a sequence of data with a plurality of flip angles; regressing linearly the formed sequence of data based on a first signal intensity model associated with the flip angles to obtain an initial estimation for said longitudinal relaxation time; and regressing nonlinearly the formed sequence of data based on a second signal intensity model associated with the flip angles so as to obtain a final estimation for the longitudinal relaxation time, in which the initial estimation is used as an initial guess for the longitudinal relaxation time based on the second signal intensity model.