Date of Award

Spring 1985

Document Type

Thesis - Restricted

Degree Name

Master of Science (MS)

Department

Biomedical Engineering

Abstract

Several methods for measuring hepatic volume and the percent of hepatic tissue replaced by tumor are available and in use at many clinical sites. Yet even the best existing techniques are very time consuming and require extensive human interaction to extract relevant information from CT images. A more quantitative and faster method for volume analysis of hepatic tumor change is implemented in a computer program that provides a more precise assessment of tumor growth in the liver. Using a standard series of axial CT images of the liver, the software applies the principles of stereology to rapidly determine volume quantities from the two-dimensional space of the images.

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