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Please use this identifier to cite or link to this item: http://arks.princeton.edu/ark:/88435/dsp01d504rp17p
Title: Contrast Dyes and Cancer Maps: Approaches to Image Registration with Appearance Changes in Breast CT Scans
Authors: Weissmann, Joshua
Advisors: Vanderbei, Robert
Department: Operations Research and Financial Engineering
Certificate Program: Applications of Computing Program
Class Year: 2019
Abstract: Image registration has taken a prominent stance in the computer science research community because of its applications in navigation, augmented reality, and medicine. We study image registration in two sets of CT scans of the human breast, one before and one after the introduction of a contrasting dye designed to highlight mobile, or tumorous, cellular regions. The images are taken using a dedicated breast CT scanner. This thesis is the narrative behind the most effective models as they apply to contrast-enhanced breast image pairs. We focus extensively on regularization for appearance changes and experiment with affine, B-spline, diffeomorphic, and neural network-based registration.
URI: http://arks.princeton.edu/ark:/88435/dsp01d504rp17p
Type of Material: Princeton University Senior Theses
Language: en
Appears in Collections:Operations Research and Financial Engineering, 2000-2023

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