Welcome to the InfoSci Platform
Image Registration Algorithms for Applications in Oncology

Image Registration Algorithms for Applications in Oncology

Katia Marina Passera, Luca Tommaso Mainardi
Copyright: © 2009 |Pages: 16
ISBN13: 9781605663142|ISBN10: 160566314X|EISBN13: 9781605663159
DOI: 10.4018/978-1-60566-314-2.ch009
Cite Chapter Cite Chapter

MLA

Passera, Katia Marina, and Luca Tommaso Mainardi. "Image Registration Algorithms for Applications in Oncology." Handbook of Research on Advanced Techniques in Diagnostic Imaging and Biomedical Applications, edited by Themis P. Exarchos, et al., IGI Global, 2009, pp. 126-141. https://doi.org/10.4018/978-1-60566-314-2.ch009

APA

Passera, K. M. & Tommaso Mainardi, L. (2009). Image Registration Algorithms for Applications in Oncology. In T. Exarchos, A. Papadopoulos, & D. Fotiadis (Eds.), Handbook of Research on Advanced Techniques in Diagnostic Imaging and Biomedical Applications (pp. 126-141). IGI Global. https://doi.org/10.4018/978-1-60566-314-2.ch009

Chicago

Passera, Katia Marina, and Luca Tommaso Mainardi. "Image Registration Algorithms for Applications in Oncology." In Handbook of Research on Advanced Techniques in Diagnostic Imaging and Biomedical Applications, edited by Themis P. Exarchos, Athanasios Papadopoulos, and Dimitrios I. Fotiadis, 126-141. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-60566-314-2.ch009

Export Reference

Mendeley
Favorite

Abstract

Image registration is the process of determining the correspondence of features between images collected at different times or using different imaging modalities. A wide range of registration algorithms was proposed in literature for solving this task. In this chapter the focus will be on oncology applications, where registration is the prior step of: i) subtraction imaging (to emphasize hyper (or hypo) enhanced structures), ii) fusion imaging (to integrate anatomical and functional information about lesions) and iii) serial imaging comparison (to monitor the progression/regression of a disease). These applications are of great relevance in tumors diagnosis, staging and treatment planning. The goal of this chapter is to provide an overview of registration algorithms considering these different applications in oncology. We discuss the advantages/disadvantages of each algorithm, the results gained and the possible future developments to comply with new requirements.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.