University of Alberta

Kumaradevan Punithakumar

Pierre Boulanger

Richard Thompson

Abhilash Hareendranathan

Myles Mabee

Jacob Lester Jaremko

Michelle Noga

An anatomical structure is segmented from images generated in an anatomical scan. A user input device is configured for manually identifying two or more seed points on a plurality of the images. An image processor is configured to identify an optimal path through seed points on the plurality of images with a graph search. The optimal path between corresponding seed points on different images defines a boundary contour, and the anatomical structure includes two or more boundary contour. The image processor is further configured to interpolate the boundary contours over a three-dimensional volume using cardinal splines.

Surface modeling of a segmented echogenic structure for detection and measurement of anatomical anomalies

A time series of image frames in an anatomical scan is segmented. An image frame k in the time series of image frames is manually segmented. A non-rigid registration is then performed between the image frame k and a next image frame k+1 in the time series of image frames. A segmentation on the image frame k+1 is computed based on the non-rigid registration. Each subsequent image frame k+n in the time series of image frames is iteratively segmented using non-rigid registration with the segmented previous image frame k+(n&#x2212;1) in the time series of image frames.

Automatic segmentation of image frames in anatomical scan based on non-rigid registration with manually segmented frame

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Edmonton, Canada

Kumaradevan Punithakumar