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Registration strategies for multi‐modal whole‐body MRI mosaicing
Author(s) -
Ceranka Jakub,
Polfliet Mathias,
Lecouvet Frédéric,
Michoux Nicolas,
de Mey Johan,
Vandemeulebroucke Jef
Publication year - 2018
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.26787
Subject(s) - image registration , computer science , artificial intelligence , computer vision , pairwise comparison , image quality , whole body imaging , image (mathematics) , magnetic resonance imaging , diffusion mri , medicine , radiology
Purpose To test and compare different registration approaches for performing whole‐body diffusion‐weighted (wbDWI) image station mosaicing, and its alignment to corresponding anatomical T 1 whole‐body image. Methods Four different registration strategies aiming at mosaicing of diffusion‐weighted image stations, and their alignment to the corresponding whole‐body anatomical image, were proposed and evaluated. These included two‐step approaches, where diffusion‐weighted stations are first combined in a pairwise (Strategy 1) or groupwise (Strategy 2) manner and later non‐rigidly aligned to the anatomical image; a direct pairwise mapping of DWI stations onto the anatomical image (Strategy 3); and simultaneous mosaicing of DWI and alignment to the anatomical image (Strategy 4). Additionally, different images driving the registration were investigated. Experiments were performed for 20 whole‐body images of patients with bone metastases. Results Strategies 1 and 2 showed significant improvement in mosaicing accuracy with respect to the non‐registered images ( P < 0.006). Strategy 2 based on ADC images increased the alignment accuracy between DWI stations and the T 1 whole‐body image ( P = 0.0009). Conclusions A two‐step registration strategy, relying on groupwise mosaicing of the ADC stations and subsequent registration to T 1 , provided the best compromise between whole‐body DWI image quality and multi‐modal alignment. Magn Reson Med 79:1684–1695, 2018. © 2017 International Society for Magnetic Resonance in Medicine.