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. {\textcopyright} 2017 International Society for Magnetic Resonance in Medicine.
Ceranka, J, Polfliet, M, Lecouvet, F, Michoux, N, de Mey, J & Vandemeulebroucke, J 2018, 'Registration strategies for multi-modal whole-body MRI mosaicing', Magnetic Resonance in Medicine, vol. 79, no. 3, pp. 1684–1695. https://doi.org/10.1002/mrm.26787
Ceranka, J., Polfliet, M., Lecouvet, F., Michoux, N., de Mey, J., & Vandemeulebroucke, J. (2018). Registration strategies for multi-modal whole-body MRI mosaicing. Magnetic Resonance in Medicine, 79(3), 1684–1695. https://doi.org/10.1002/mrm.26787
@article{56190b0176cb4dfeb213d3c495564120,
title = "Registration strategies for multi-modal whole-body MRI mosaicing",
abstract = "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. {\textcopyright} 2017 International Society for Magnetic Resonance in Medicine. ",
keywords = "MR station mosaicing, diffusion-weighted MRI, image registration, multi-station acquisition, whole-body MRI",
author = "Jakub Ceranka and Mathias Polfliet and Fr{\'e}d{\'e}ric Lecouvet and Nicolas Michoux and {de Mey}, Johan and Jef Vandemeulebroucke",
note = "{\textcopyright} 2017 International Society for Magnetic Resonance in Medicine.",
year = "2018",
month = mar,
doi = "10.1002/mrm.26787",
language = "English",
volume = "79",
pages = "1684–1695",
journal = "Magnetic Resonance in Medicine",
issn = "0740-3194",
publisher = "John Wiley and Sons Inc.",
number = "3",
}