Automatic Segmentation of White Matter Tracts Using Multiple Brain MRI Sequences

Ilya Nelkenbaum, Galia Tsarfaty, Nahum Kiryati, Eli Konen, Arnaldo Mayer

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

Abstract

White matter tractography mapping is a must in neuro-surgical planning and navigation to minimize risks of iatrogenic damages. Clinical tractography pipelines still require time consuming manual operations and significant neuro-anatomical expertise, to accurately seed the tracts and remove tractography outliers. The automatic segmentation of white matter (WM) tracts using deep neural networks has been recently demonstrated. However, most of the works in this area use a single brain MRI sequence, whereas neuro-radiologists rely on 2 or more MRI sequences, e.g. T1w and the principal direction of diffusion (PDD), for pre-surgical WM mapping. In this work, we propose a novel neural architecture for the automatic segmentation of white matter tracts by fusing multiple MRI sequences. The proposed method is demonstrated and validated on joint T1w and PDD input sequences. It is shown to compare favorably against state-of-the art methods (Vnet, TractSeg) on the Human Connectome Project (HCP) brain scans dataset for clinically important WM tracts.

Original languageEnglish
Title of host publicationISBI 2020 - 2020 IEEE International Symposium on Biomedical Imaging
PublisherIEEE Computer Society
Pages368-371
Number of pages4
ISBN (Electronic)9781538693308
DOIs
StatePublished - Apr 2020
Event17th IEEE International Symposium on Biomedical Imaging, ISBI 2020 - Iowa City, United States
Duration: 3 Apr 20207 Apr 2020

Publication series

NameProceedings - International Symposium on Biomedical Imaging
Volume2020-April
ISSN (Print)1945-7928
ISSN (Electronic)1945-8452

Conference

Conference17th IEEE International Symposium on Biomedical Imaging, ISBI 2020
Country/TerritoryUnited States
CityIowa City
Period3/04/207/04/20

Keywords

  • AGYnet
  • Convolutional neural networks
  • DTI
  • attention gate
  • multimodal segmentation
  • segmentation
  • tractography
  • white matter

Fingerprint

Dive into the research topics of 'Automatic Segmentation of White Matter Tracts Using Multiple Brain MRI Sequences'. Together they form a unique fingerprint.

Cite this