MULTI-ATLAS-BASED SEGMENTATION OF PELVIC STRUCTURES FROM CT SCANS FOR PLANNING IN PROSTATE CANCER RADIOTHERAPY - Archive ouverte HAL Access content directly
Book Sections Year : 2013

MULTI-ATLAS-BASED SEGMENTATION OF PELVIC STRUCTURES FROM CT SCANS FOR PLANNING IN PROSTATE CANCER RADIOTHERAPY

(1) , (2) , (1) , (1) , (1, 3) , (1)
1
2
3

Abstract

In prostate cancer radiotherapy, the accurate identification of the prostate and organs at risk in planning computer tomography (CT) images is an important part of the therapy planning and optimization. Manually contouring these organs can be a time consuming process and subject to intra- and inter-expert variability. Automatic identification of organ boundaries from these images is challenging due to the poor soft tissue contrast. Atlas-based approaches may provide a priori structural information by propagating manual expert delineations to a new individual space; however the inter-individual variability and registration errors may lead to biased results. Multi-atlas approaches can partly overcome some of these difficulties by selecting the most similar atlases among a large data base but the definition of similarity measure between the available atlases and the query individual has still to be addressed. The purpose of this chapter is to explain atlas-based segmentation approaches and the evaluation of different atlas-based strategies to simultaneously segment prostate, bladder and rectum from CT images. A comparison between single and multiple atlases is performed. Experiments on atlas ranking, selection strategies and fusion decision rules are carried out to illustrate the presented methodology. Propagation of labels using two registration strategies are applied and the results of the comparison with manual delineations are reported.
Fichier principal
Vignette du fichier
MultiAtlasProstateSegmentation_FINAL_APRIL2013_SOMECORRECTIONS_AUTHOR.pdf (1.28 Mo) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

inserm-00910761 , version 1 (28-11-2013)

Identifiers

Cite

Oscar Acosta, Jason Dowling, Gael Drean, Antoine Simon, Renaud de Crevoisier, et al.. MULTI-ATLAS-BASED SEGMENTATION OF PELVIC STRUCTURES FROM CT SCANS FOR PLANNING IN PROSTATE CANCER RADIOTHERAPY. Ayman S. El-Baz; Luca Saba; Jasjit Suri. Abdomen and Thoracic Imaging, Springer US, pp.623-656, 2013, ⟨10.1007/978-1-4614-8498-1_24⟩. ⟨inserm-00910761⟩
554 View
894 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More