Difusion-Weighted MRI: from Brownian Motion to Head&Neck Tumor Characterization

TitleDifusion-Weighted MRI: from Brownian Motion to Head&Neck Tumor Characterization
Publication TypeJournal Article
Year of Publication2017
AuthorsUtrilla Contreras, C., B. Marin Aguilera, N. M. B. Sánchez, J. Graessner, and P. G. Raya
JournalInternational Journal of Interactive Multimedia and Artificial Intelligence
ISSN1989-1660
IssueSpecial Issue on 3D Medicine and Artificial Intelligence
Volume4
Number5
Date Published09/2017
Pagination6-14
Abstract

This paper describes basic physics as well as clinical applications of diffusion-weighted magnetic resonance imaging. This is a technique that provides complementary information to conventional imaging sequences and it is applied in the field of oncologic imaging. This paper focuses on its specific application in head and neck, mainly in cancer patients, for characterization of primary tumors, and also for monitoring and predicting treatment response after chemotherapy or radiation therapy. Last, although diffusion-weighted imaging is shown to add value in several areas by being part of the multi-parametric magnetic resonance imaging approach, there are some unsolved challenges, which are proposed as future work.

KeywordsCancer, Diffusion-weighted Imaging, Magnetic Resonance Imaging, Medicine, Tumor Characterization
DOI10.9781/ijimai.2017.451
URLhttp://www.ijimai.org/journal/sites/default/files/files/2016/12/ijimai20174_5_1_pdf_76297.pdf
AttachmentSize
ijimai20174_5_1.pdf2.55 MB