Automatic whole brain tract-based analysis using predefined tracts in a diffusion spectrum imaging template and an accurate registration strategy

Yu Jen Chen, Yu Chun Lo, Yung Chin Hsu, Chun Chieh Fan, Tzung Jeng Hwang, Chih Min Liu, Yi Ling Chien, Ming-Hong Hsieh, Chen Chung Liu, Hai Gwo Hwu, Wen Yih Isaac Tseng

Research output: Contribution to journalArticle

20 Citations (Scopus)

Abstract

Automated tract-based analysis of diffusion MRI is an important tool for investigating tract integrity of the cerebral white matter. Current template-based automatic analyses still lack a comprehensive list of tract atlas and an accurate registration method. In this study, tract-based automatic analysis (TBAA) was developed to meet the demands. Seventy-six major white matter tracts were reconstructed on a high-quality diffusion spectrum imaging (DSI) template, and an advanced two-step registration strategy was proposed by incorporating anatomical information of the gray matter from T1-weighted images in addition to microstructural information of the white matter from diffusion-weighted images. The automatic analysis was achieved by establishing a transformation between the DSI template and DSI dataset of the subject derived from the registration strategy. The tract coordinates in the template were transformed to native space in the individual's DSI dataset, and the microstructural properties of major tract bundles were sampled stepwise along the tract coordinates of the subject's DSI dataset. In a validation study of eight well-known tracts, our results showed that TBAA had high geometric agreement with manual tracts in both deep and superficial parts but significantly smaller measurement variability than manual method in functional difference. Additionally, the feasibility of the method was demonstrated by showing tracts with altered microstructural properties in patients with schizophrenia. Fifteen major tract bundles were found to have significant differences after controlling the family-wise error rate. In conclusion, the proposed TBAA method is potentially useful in brain-wise investigations of white matter tracts, particularly for a large cohort study.

Original languageEnglish
Pages (from-to)3441-3458
Number of pages18
JournalHuman Brain Mapping
Volume36
Issue number9
DOIs
Publication statusPublished - Sep 1 2015
Externally publishedYes

Fingerprint

Brain
Diffusion Magnetic Resonance Imaging
Atlases
Validation Studies
Schizophrenia
Cohort Studies
White Matter
Datasets

Keywords

  • Diffusion spectrum imaging
  • Large deformation diffeomorphic mapping
  • Template
  • Tract-based analysis
  • Tractography

ASJC Scopus subject areas

  • Anatomy
  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging
  • Neurology
  • Clinical Neurology

Cite this

Automatic whole brain tract-based analysis using predefined tracts in a diffusion spectrum imaging template and an accurate registration strategy. / Chen, Yu Jen; Lo, Yu Chun; Hsu, Yung Chin; Fan, Chun Chieh; Hwang, Tzung Jeng; Liu, Chih Min; Chien, Yi Ling; Hsieh, Ming-Hong; Liu, Chen Chung; Hwu, Hai Gwo; Tseng, Wen Yih Isaac.

In: Human Brain Mapping, Vol. 36, No. 9, 01.09.2015, p. 3441-3458.

Research output: Contribution to journalArticle

Chen, YJ, Lo, YC, Hsu, YC, Fan, CC, Hwang, TJ, Liu, CM, Chien, YL, Hsieh, M-H, Liu, CC, Hwu, HG & Tseng, WYI 2015, 'Automatic whole brain tract-based analysis using predefined tracts in a diffusion spectrum imaging template and an accurate registration strategy', Human Brain Mapping, vol. 36, no. 9, pp. 3441-3458. https://doi.org/10.1002/hbm.22854
Chen, Yu Jen ; Lo, Yu Chun ; Hsu, Yung Chin ; Fan, Chun Chieh ; Hwang, Tzung Jeng ; Liu, Chih Min ; Chien, Yi Ling ; Hsieh, Ming-Hong ; Liu, Chen Chung ; Hwu, Hai Gwo ; Tseng, Wen Yih Isaac. / Automatic whole brain tract-based analysis using predefined tracts in a diffusion spectrum imaging template and an accurate registration strategy. In: Human Brain Mapping. 2015 ; Vol. 36, No. 9. pp. 3441-3458.
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