Title

Thoracic Ct-Pet Registration Using A 3D Breathing Model

Abstract

In the context of thoracic CT-PET volume registration, we present a novel method to incorporate a breathing model in a non-linear registration procedure, guaranteeing physiologically plausible deformations. The approach also accounts for the rigid motions of lung tumors during breathing. We performed a set of registration experiments on one healthy and four pathological data sets. Initial results demonstrate the interest of this method to significantly improve the accuracy of multi-modal volume registration for diagnosis and radiotherapy applications. © Springer-Verlag Berlin Heidelberg 2007.

Publication Date

1-1-2007

Publication Title

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volume

4791 LNCS

Issue

PART 1

Number of Pages

626-633

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1007/978-3-540-75757-3_76

Socpus ID

38149124044 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/38149124044

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