Abstract: A computer-implemented method for simulating vehicle data and improving driving scenario detection is provided.

Abstract: A method for optimization of a parametric array shallow profile difference frequency conversion performance, comprising the following steps: building a three-layer parametric array shallow profile emission acoustic wave propagation path model, and establishing a detection horizontal position DL equation capable of detecting a detection performance of the parametric array shallow profile; and building a model for optimization of the parametric array shallow profile difference frequency conversion performance. A parametric receiving array includes the receiving hydrophone and a pump transducer, comprising: a silicone rubber column is added between the receiving hydrophone and the pump transducer to improve the conversion efficiency of the parametric receiving array.

Abstract: A system and method for cardiac image segmentation are provided. A plurality of slice images of a myocardium of a left ventricle at a plurality of time phases in a cardiac cycle may be obtained. An end-diastolic phase may be determined. A first slice image at the end-diastolic phase may be retrieved. A region of interest (ROI) in the first slice image may be obtained. A blood pool region in the ROI may be segmented. The ROI may be transformed into a polar coordinate image. A dual dynamic programming operation may be performed on the polar coordinate image to determine endocardial and epicardial boundaries of the myocardium in the polar coordinate image. The polar coordinate image may be transformed into a Cartesian coordinate image to obtain the endocardial and epicardial boundaries of the myocardium in the first slice image at the end-diastolic phase.

Abstract: A method and system for image processing are provided. An MR image including a plurality of slice images may be obtained. The plurality of slice images including a myocardium of a left ventricle. A reference image for each slice image of the plurality of slice images may be determined. An endocardial boundary of the myocardium for the each slice image of the plurality of slice images may be determined. The each slice image of the plurality of slice images may be registered according to a corresponding reference image. An epicardial boundary of the myocardium in the each slice image of the plurality of slice images may be determined according to the endocardial boundary of the myocardium in the registered each slice image of the plurality of slice images.

Abstract: A method and system for image processing are provided. An MR image including a plurality of slice images may be obtained. The plurality of slice images including a myocardium of a left ventricle. A reference image for each slice image of the plurality of slice images may be determined. An endocardial boundary of the myocardium for the each slice image of the plurality of slice images may be determined. The each slice image of the plurality of slice images may be registered according to a corresponding reference image. An epicardial boundary of the myocardium in the each slice image of the plurality of slice images may be determined according to the endocardial boundary of the myocardium in the registered each slice image of the plurality of slice images.

Abstract: A system and method for cardiac image segmentation are provided. A plurality of slice images of a myocardium of a left ventricle at a plurality of time phases in a cardiac cycle may be obtained. An end-diastolic phase may be determined. A first slice image at the end-diastolic phase may be retrieved. A region of interest (ROI) in the first slice image may be obtained. A blood pool region in the ROI may be segmented. The ROI may be transformed into a polar coordinate image. A dual dynamic programming operation may be performed on the polar coordinate image to determine endocardial and epicardial boundaries of the myocardium in the polar coordinate image. The polar coordinate image may be transformed into a Cartesian coordinate image to obtain the endocardial and epicardial boundaries of the myocardium in the first slice image at the end-diastolic phase.

Abstract: A method and system for image processing are provided. An MR image including a plurality of slice images may be obtained. The plurality of slice images including a myocardium of a left ventricle. A reference image for each slice image of the plurality of slice images may be determined. An endocardial boundary of the myocardium for the each slice image of the plurality of slice images may be determined. The each slice image of the plurality of slice images may be registered according to a corresponding reference image. An epicardial boundary of the myocardium in the each slice image of the plurality of slice images may be determined according to the endocardial boundary of the myocardium in the registered each slice image of the plurality of slice images.

Abstract: A system and method for cardiac image segmentation are provided. A plurality of slice images of a myocardium of a left ventricle at a plurality of time phases in a cardiac cycle may be obtained. An end-diastolic phase may be determined. A first slice image at the end-diastolic phase may be retrieved. A region of interest (ROI) in the first slice image may be obtained. A blood pool region in the ROI may be segmented. The ROI may be transformed into a polar coordinate image. A dual dynamic programming operation may be performed on the polar coordinate image to determine endocardial and epicardial boundaries of the myocardium in the polar coordinate image. The polar coordinate image may be transformed into a Cartesian coordinate image to obtain the endocardial and epicardial boundaries of the myocardium in the first slice image at the end-diastolic phase.

Abstract: A system and method for cardiac image segmentation are provided. A plurality of slice images of a myocardium of a left ventricle at a plurality of time phases in a cardiac cycle may be obtained. An end-diastolic phase may be determined. A first slice image at the end-diastolic phase may be retrieved. A region of interest (ROI) in the first slice image may be obtained. A blood pool region in the ROI may be segmented. The ROI may be transformed into a polar coordinate image. A dual dynamic programming operation may be performed on the polar coordinate image to determine endocardial and epicardial boundaries of the myocardium in the polar coordinate image. The polar coordinate image may be transformed into a Cartesian coordinate image to obtain the endocardial and epicardial boundaries of the myocardium in the first slice image at the end-diastolic phase.

Abstract: A method and system for image processing are provided. An MR image including a plurality of slice images may be obtained. The plurality of slice images including a myocardium of a left ventricle. A reference image for each slice image of the plurality of slice images may be determined. An endocardial boundary of the myocardium for the each slice image of the plurality of slice images may be determined. The each slice image of the plurality of slice images may be registered according to a corresponding reference image. An epicardial boundary of the myocardium in the each slice image of the plurality of slice images may be determined according to the endocardial boundary of the myocardium in the registered each slice image of the plurality of slice images.