Skip to Main content Skip to Navigation
Theses

Non-linear registration of thoracic and abdominal CT and 18-FDG whole-body emission PET images: methodological study and application in clinical routine

Abstract : The aim of this work is to implement an algorithm to achieve a robust, fast enough and good quality registration of thoracic and abdominal CT and 18-FDG whole-body emission PET images. The proposed registration methodology is based on the incorporation of prior anatomical information in an intensity-based non-linear registration algorithm. This incorporation is performed in an explicit way, by initializing the intensity-based registration stage with the solution obtained by a registration of corresponding anatomical surfaces segmented through a hierarchically ordered set of anatomy-specific rules. Deformations are modeled in both registration steps by means of a FFD model. Mutual Information is used as the similarity criterion at the grey-level registration step. Registration errors provided by the visual assessment protocol we have designed are less than 1cm on lungs, heart, liver and kidneys structures but up to 1.5cm on the stomach.
Document type :
Theses
Complete list of metadatas

https://pastel.archives-ouvertes.fr/pastel-00000903
Contributor : Ecole Télécom Paristech <>
Submitted on : Thursday, February 3, 2005 - 8:00:00 AM
Last modification on : Friday, July 31, 2020 - 10:44:07 AM
Long-term archiving on: : Thursday, September 30, 2010 - 6:18:58 PM

Identifiers

  • HAL Id : pastel-00000903, version 1

Citation

Oscar Camara-Rey. Non-linear registration of thoracic and abdominal CT and 18-FDG whole-body emission PET images: methodological study and application in clinical routine. domain_other. Télécom ParisTech, 2003. English. ⟨pastel-00000903⟩

Share

Metrics

Record views

429

Files downloads

984