Automatic classification of computed tomography slices into anatomic regions

Pradeep K. Kurup; Tuelay Adali; Ikrama Chohan; Khan Siddiqui M.D.; Calvin Hisley; Eliot Siegel M.D.

doi:10.1117/12.595399

15 April 2005 Automatic classification of computed tomography slices into anatomic regions

Pradeep K. Kurup, Tuelay Adali, Ikrama Chohan, Khan Siddiqui M.D., Calvin Hisley, Eliot Siegel M.D.

Proceedings Volume 5748, Medical Imaging 2005: PACS and Imaging Informatics; (2005) https://doi.org/10.1117/12.595399
Event: Medical Imaging, 2005, San Diego, California, United States

Abstract

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.

Citation Download Citation

Pradeep K. Kurup, Tuelay Adali, Ikrama Chohan, Khan Siddiqui M.D., Calvin Hisley, and Eliot Siegel M.D. "Automatic classification of computed tomography slices into anatomic regions", Proc. SPIE 5748, Medical Imaging 2005: PACS and Imaging Informatics, (15 April 2005); https://doi.org/10.1117/12.595399

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KEYWORDS

X-ray computed tomography

Chest

Image classification

Picture Archiving and Communication System

Feature extraction

Neck

Computed tomography

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