3D reconstruction of intervertebral discs from T1-weighted magnetic resonance images

I. Castro*, L. Humbert, T. Whitmarsh, A. Lazary, L. M. Del Río Barquero, A. F. Frangi

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

Abstract

Low back pain is a current and increasing problem closely related to intervertebral disc degeneration, which is responsible for over 90% of spinal surgical procedures. In clinical routine, clinicians base their diagnosis of disc degeneration on 2D analysis of Magnetic Resonance (MR) images. In this work, an automatic 3D segmentation method, based on active shape models, is presented for both degenerated and normal intervertebral discs. A database of 25 intervertebral discs was used to semi-automatically build a shape statistical model and intensity models. Then, a 3D reconstruction was achieved by using those models to deform an initial shape. The method was evaluated using the 25 intervertebral discs and a leave-one-out cross validation, resulting in a mean shape accuracy of 1.6mm and a mean dice similarity index of 83.6%. This automatic and accurate 3D reconstruction method opens the way for an improved diagnosis of disc degeneration.

Original languageEnglish
Title of host publication2012 9th IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro, ISBI 2012 - Proceedings
Pages1695-1698
Number of pages4
DOIs
Publication statusPublished - 2012
Event2012 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012 - Barcelona, Spain
Duration: 2 May 20125 May 2012

Publication series

NameProceedings - International Symposium on Biomedical Imaging
ISSN (Print)1945-7928
ISSN (Electronic)1945-8452

Conference

Conference2012 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012
Country/TerritorySpain
CityBarcelona
Period2/05/125/05/12

Keywords

  • 3D
  • image segmentation
  • Intervertebral disc degeneration
  • MRI
  • Statistical model

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