Abstract: Systems and methods for image-based guidance for facilitating navigation of tubular networks. A region of interest in three-dimensional image data may first be segmented. An endoscopic instrument may be detected in two-dimensional intraoperative image data of the region of interest. A centerline of the detected endoscopic instrument may then be determined. The endoscopic instrument and the centerline may be backprojected to generate a three-dimensional backprojected volume. A device path of the endoscopic instrument may be generated based at least in part on the three-dimensional backprojected volume and the three-dimensional image data.

Abstract: Systems and methods for image-based guidance for facilitating navigation of tubular networks. A region of interest in three-dimensional image data may first be segmented. An endoscopic instrument may be detected in two-dimensional intraoperative image data of the region of interest. A centerline of the detected endoscopic instrument may then be determined. The endoscopic instrument and the centerline may be backprojected to generate a three-dimensional backprojected volume. A device path of the endoscopic instrument may be generated based at least in part on the three-dimensional backprojected volume and the three-dimensional image data.

Abstract: For camera-assisted, image-guided medical intervention, a camera is used to allow interaction for insertion point designation on the patient. The x-ray imager is used for guiding the intervention, but less radiation may be needed since the camera is used to assist in trajectory selection before the intervention and/or in guidance during the intervention.

Abstract: Systems and methods for image-based guidance for facilitating navigation of tubular networks. A region of interest in three-dimensional image data may first be segmented. An endoscopic instrument may be detected in two-dimensional intraoperative image data of the region of interest. A centerline of the detected endoscopic instrument may then be determined. The endoscopic instrument and the centerline may be backprojected to generate a three-dimensional backprojected volume. A device path of the endoscopic instrument may be generated based at least in part on the three-dimensional backprojected volume and the three-dimensional image data.

Abstract: Systems and methods for image-based guidance for facilitating navigation of tubular networks. A region of interest in three-dimensional image data may first be segmented. An endoscopic instrument may be detected in two-dimensional intraoperative image data of the region of interest. A centerline of the detected endoscopic instrument may then be determined. The endoscopic instrument and the centerline may be backprojected to generate a three-dimensional backprojected volume. A device path of the endoscopic instrument may be generated based at least in part on the three-dimensional backprojected volume and the three-dimensional image data.

Abstract: A method for segmenting tubular structures in digital medical images includes extracting a subregion from a 3-dimensional (3D) digital medical image volume containing a vessel of interest, identifying potential vessel centerpoints for each voxel in the subregion by attaching to each voxel a tip of a 3D cone that is oriented in the direction of the voxel's image gradient and having each voxel within the cone vote for those voxels most likely to belong to a vessel centerline, selecting candidates for a second vote image that are both popular according to a first vote image, as well as being consistently voted upon by a radius image, reconfiguring the subregion as a graph where each voxel is represented by a node that is connected to 26 nearest neighbors by n-link edges, and applying a min-cut algorithm to segment the vessel within the subregion.

Abstract: A system and method for imaging and identifying non-viable myocardial tissue in a patient's myocardium is disclosed. Images of a section of the myocardium are obtained. An endocardial border and epicardial border of the section of the myocardium is segmented. The section of the myocardium is divided into sectors. One or more selected features of the sectors of the myocardial wall are measured and applied to a decision surface. A determination is made as to whether each sector contains viable or non-viable myocardial tissue. An image that shows each sector of the myocardial wall and an indication of its viability is displayed.

Abstract: A method of magnetic resonance imaging of anatomy that is subject to a movement cycle (e.g., the heart during a cardiac cycle), comprising: administering a magnetic resonance contrast agent; waiting a period of time until the contrast agent is effective to cause selected portions of the anatomy (e.g.

Abstract: A system and method for tracking and classifying the left ventricle of the heart using cine-delayed enhancement magnetic resonance (Cine-DEMR) are provided. The method for tracking the left ventricle comprises: delineating myocardial borders of the left ventricle in an image of a first phase of a cardiac cycle of the heart; registering the image of the first phase with an image of a second phase of the cardiac cycle; copying the myocardial borders from the first phase onto the second phase; fitting the myocardial borders of the first phase to myocardial borders of the second phase; and refining the myocardial borders of the second phase.

Abstract: A method for segmenting tubular structures in digital medical images includes extracting a subregion from a 3-dimensional (3D) digital image volume containing a vessel of interest, identifying potential vessel centerpoints for each voxel in the subregion by attaching to each voxel a tip of a 3D cone that is oriented in the direction of the voxel's image gradient and having each voxel within the cone vote for those voxels most likely to belong to a vessel centerline, selecting candidates for a second vote image that are both popular according to a first vote image, as well as being consistently voted upon by a radius image, reconfiguring the subregion as a graph where each voxel is represented by a node that is connected to 26 nearest neighbors by n-link edges, and applying a min-cut algorithm to segment the vessel within the subregion.

Abstract: A method and device for image processing to determine image characteristics includes operations of segmenting of first images to create segmentation contours corresponding to the first images; and registering the segmented first images to second images. Further, operations of transferring the segmentation contours from the first images to second images; and fitting the transferred segmentation contours in the second images are performed.

Abstract: A system and method for imaging and identifying non-viable myocardial tissue in a patient's myocardium is disclosed. Images of a section of the myocardium are obtained. An endocardial border and epicardial border of the section of the myocardium is segmented. The section of the myocardium is divided into sectors. One or more selected features of the sectors of the myocardial wall are measured and applied to a decision surface. A determination is made as to whether each sector contains viable or non-viable myocardial tissue. An image that shows each sector of the myocardial wall and an indication of its viability is displayed.