Image Analysis of Lung CT Images

Principal Investigator

Name
Kevin Bowyer

Degrees
PhD

Institution
University of Notre Dame

Position Title
Schubmehl-Prein Family Processor of Computer Science and Engineering

Email
kwb@nd.edu

About this CDAS Project

Study
NLST (Learn more about this study)

Project ID
NLST-731

Initial CDAS Request Approval
Dec 8, 2020

Title
Image Analysis of Lung CT Images

Summary
This project is focused on image analysis of lung CT images. We are interested in the development of algorithms to detect abnormal regions in images, and we are also interested in the development of algorithms to determined whether or not an image has been modified in some way ("photoshopped"). This project will evaluate existing algorithms for detecting abnormal regions, and possibly use the results of this study as a basis for development of algorithms with improved performance. This project will also evaluate existing algorithms for detection of copy-paste or splice operations on images, and possibly use the results of this study as a basis for development of algorithms with improved performance on this dimension for medical images.

Aims

(1) - Evaluate algorithms for detecting abnormal regions.
(2) - Use the results of (1) as a basis for development of improved algorithms.
(3) - Evaluate existing algorithms for detection of copy-paste or splice operations.
(4) - Use the results of (3) as a basis for development of improved algorithms for this problem.

Collaborators

Professor Lawrence O. Hall, University of South Florida