Novel active contour model-based automated segmentation of PET images

Mingzan Zhuang, Rudi A.J.O. Dierckx, Habib Zaidi

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)

Abstract

Although positron emission tomography (PET) has been commonly used in oncology, for radiation therapy treatment planning or the assessment of response to treatment, in view of the fact that the rate of glucose metabolism is increased in malignant tumours, it is not easily to delineate the boundaries of tumours from the surrounding normal tissue because of the low spatial resolution and inherent noisy characteristics in PET images. In this work, a novel method for automatic segmentation using an active contour model is presented. The algorithm incorporates histogram fuzzy C-means clustering and localized and textural information to constrain the active contour to detect boundaries in an accurat e and robust manner. Moreover, t h latt de Boltzmann method is used as an alternative approach for solving the level set equation to make it faster and suitable for parallel programming. The proposed method was compared with the contourlet-based active contour algorithm and Schaefer's thresholding method using phantom and clinical studies. Our results demonstrate that the developed novel PET segmentation algorithm is applicable to various types of lesions and is capable of producing accurate and consistent target volume delineations, potentially resulting in reduced intra-A nd inter-observer variability commonly observed when using manual delineation.

Original languageEnglish
Title of host publication2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509016426
DOIs
Publication statusPublished - 16-Oct-2017
Event2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016 - Strasbourg, France
Duration: 29-Oct-20166-Nov-2016

Publication series

Name2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016
Volume2017-January

Conference

Conference2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016
CountryFrance
CityStrasbourg
Period29/10/201606/11/2016

Keywords

  • Active
  • Contour model
  • Imaging
  • PET
  • Segmentation

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