METHOD FOR DETECTING POLYPS IN A THREE DIMENSIONAL IMAGE VOLUME

摘要

A method for detecting target objects in a three dimensional (3D) image volume
of an anatomical structure is disclosed. A set of candidate locations in the
image volume are obtained. For each candidate location, sub-volumes of at
least two different scales are cropped out. Each sub-volume comprises a
plurality of voxels. For each of the sub-volumes, each sub-volume is rotated
in at least two different orientations. A shape classifier is applied to each
sub-volume. If the voxels in the sub-volume pass the shape classifier, a
gradient direction is computed for the voxels. If the gradient direction for
the voxels is one of a predefined orientation, a probability classifier is
applied to the voxels. A probability measure computed by the probability
classifier as a confidence measure is used for the sub-volume. If the
confidence measure is above a predetermined threshold value, the sub-volume is
determined to contain the target object