4D segmentation of longitudinal brain MR images with consistent cortical thickness measurement

Li Wang, Feng Shi, Gang Li, Dinggang Shen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Accurate segmentation of the brain MR images plays an important role in investigation of neurodegenerative changes in the cerebral cortex. However, most of the previous algorithms were proposed for segmentation of 3D images and few studies have taken the temporal consistency of cortical-thickness changes into account during the longitudinal studies. In this paper, we propose a 4D segmentation framework for the adult brain MR images with consistent longitudinal cortical thickness changes. Specifically, we utilize local intensity information to address the intensity inhomogeneity, spatial cortical thickness constraint to maintain the cortical thickness within a reasonable range, and temporal cortical thickness constraint to ensure the cortical thickness at the current time-point to be temporally consistent with thicknesses in the neighboring time-points. The proposed method has been tested on BLSA dataset and ADNI dataset. Both qualitative and quantitative experimental results demonstrate the accuracy and consistency of the proposed method, in comparison to other state-of-the-art 4D segmentation methods.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages63-75
Number of pages13
Volume7570 LNCS
DOIs
Publication statusPublished - 2012 Oct 30
Externally publishedYes
Event2nd International Workshop on Spatiotemporal Image Analysis for Longitudinal and Time-Series Image Data, STIA 2012, Held in Conjunction with the International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2012 - Nice, France
Duration: 2012 Oct 12012 Oct 1

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7570 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other2nd International Workshop on Spatiotemporal Image Analysis for Longitudinal and Time-Series Image Data, STIA 2012, Held in Conjunction with the International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2012
CountryFrance
CityNice
Period12/10/112/10/1

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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  • Cite this

    Wang, L., Shi, F., Li, G., & Shen, D. (2012). 4D segmentation of longitudinal brain MR images with consistent cortical thickness measurement. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7570 LNCS, pp. 63-75). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7570 LNCS). https://doi.org/10.1007/978-3-642-33555-6_6