Automatic classification of Computed Tomography slices into anatomic regions

We propose a computationally efficient and effective analysis technique to classify X-Ray Computed Tomography (CT) images into four anatomic regions: neck, chest, abdomen, and pelvis. The proposed technique divides a single scan (performed with a single bolus of contrast) into multiple anatomic regions that can be stored in separate electronic folders for each region. Our CT analysis technique extracts relevant features from the image slices and classifies the images into the four anatomic regions using a multilayer perceptron network. The technique is tested on a number of CT images and shown to result in an acceptable level of classification performance.