TY - JOUR
KW - Cancer
KW - Medicine
KW - Diffusion-weighted Imaging
KW - Magnetic Resonance Imaging
KW - Tumor Characterization
AU - Cristina Utrilla Contreras
AU - Nelson Mauricio Buitrago Sánchez
AU - Joachim Graessner
AU - Pilar García Raya
AU - Begoña Marin Aguilera
AB - 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.
IS - Special Issue on 3D Medicine and Artificial Intelligence
M1 - 5
N2 - 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.
PY - 2017
SP - 6
EP - 14
T2 - International Journal of Interactive Multimedia and Artificial Intelligence
TI - Difusion-Weighted MRI: from Brownian Motion to Head&Neck Tumor Characterization
UR - http://www.ijimai.org/journal/sites/default/files/files/2016/12/ijimai20174_5_1_pdf_76297.pdf
VL - 4
SN - 1989-1660
ER -