With the development of ultra-fast magnetic resonance imaging sequences, whole-body diffusion-weighted magnetic resonance imaging (WB-DWI) becomes a popular diagnostic tool in patient cancer screening. Modality can improve plenty of clinical investigations such as lymphoma, multiple melanoma or metastatic bone cancer diagnosis. Because of vast body coverage and MR scanner limitations, whole-body image is acquired in blocks, called stations. Precise ’stitching’ of whole-body stations is essential to ensure correct image formation, yet there are not many commercially available registration algorithms. We developed and investigated several registration methods based on apparent diffusion coefficient (ADC) and diffusion-weighted images (DWI) to improve station-to-station registration and WB-DWI image quality. This paper reports on registration results of 52 whole-body DWI images and compares them with other already existing methods. Proposed registration techniques based on ADC images demonstrated superior performance over other registration methods.
Ceranka, J , Polfliet, M, Lecouvet, F, Michoux, N , De Mey, J & Vandemeulebroucke, J 2016, Registration Strategies for Whole-Body Diffusion-Weighted MRI Stitching . in Computational Diffusion MRI: MICCAI Workshop, Munich, Germany, October 9th, 2015. 1 edn, Springer International Publishing, pp. 195-206, 18th International Conference on Medical Image Computing and Computer Assisted Intervention, Munich, Germany, 5/10/15 . < http://www.springer.com/us/book/9783319285863 >
Ceranka, J. , Polfliet, M., Lecouvet, F., Michoux, N. , De Mey, J. , & Vandemeulebroucke, J. (2016). Registration Strategies for Whole-Body Diffusion-Weighted MRI Stitching . In Computational Diffusion MRI: MICCAI Workshop, Munich, Germany, October 9th, 2015 (1 ed., pp. 195-206). Springer International Publishing. http://www.springer.com/us/book/9783319285863
@inproceedings{4bef4d3576b14b838c57d5cce255667b,
title = " Registration Strategies for Whole-Body Diffusion-Weighted MRI Stitching " ,
abstract = " With the development of ultra-fast magnetic resonance imaging sequences, whole-body diffusion-weighted magnetic resonance imaging (WB-DWI) becomes a popular diagnostic tool in patient cancer screening. Modality can improve plenty of clinical investigations such as lymphoma, multiple melanoma or metastatic bone cancer diagnosis. Because of vast body coverage and MR scanner limitations, whole-bodyimage is acquired in blocks, called stations. Precise { extquoteright}stitching{ extquoteright} of whole-body stations is essential to ensure correct image formation, yet there are not many commercially available registration algorithms. We developed and investigated several registration methods based on apparent diffusion coefficient (ADC) and diffusion-weighted images (DWI) to improve station-to-station registration and WB-DWI image quality. This paperreports on registration results of 52 whole-body DWI images and compares them with other already existing methods. Proposed registration techniques based on ADC images demonstrated superior performance over other registration methods. " ,
keywords = " Whole-body diffusion-weighted MRI, multi-station acquisition, registration, apparent diffusion coefficient " ,
author = " Jakub Ceranka and Mathias Polfliet and Frederic Lecouvet and Nicolas Michoux and {De Mey}, Johan and Jef Vandemeulebroucke " ,
year = " 2016 " ,
month = may,
day = " 9 " ,
language = " English " ,
isbn = " 978-3-319-28586-3 " ,
pages = " 195206 " ,
booktitle = " Computational Diffusion MRI " ,
publisher = " Springer International Publishing " ,
edition = " 1 " ,
note = " 18th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2015 Conference date: 05-10-2015 Through 09-10-2015 " ,
}