TY - GEN
T1 - Structural and diffusion weighted MRI registration for biomarker fusion in Crohn's disease diagnosis
AU - Taimouri, Vahid
AU - Kurugol, Sila
AU - Clancy, Sean
AU - Freiman, Moti
AU - Warfield, Simon K.
N1 - Publisher Copyright: © 2015 IEEE.
PY - 2015/7/21
Y1 - 2015/7/21
N2 - Diffusivity of water molecules estimated from diffusion weighted MRI (DW-MRI) is an important biomarker to pinpoint regions with restricted diffusion such as inflamed bowel regions in patients with Crohn's Disease (CD). There is a need to fuse the information extracted from DW-MRI with other image modalities, e.g. structural T1w images, for more accurate and efficient diagnosis. However, due to low signal-to-noise ratio, distortion and lower resolution of DW-MR images compared to T1w images, fusion of these image modalities is challenging, especially in turns and folds of the bowel. This paper presents a novel method to register structural T1w and diffusion weighted images, which facilitates the image fusion. Based on the block-matching algorithm, the proposed method first determines multiple candidate matches in a neighborhood, and then iteratively finds the most probable match using additional geometric information. We examined the performance of the proposed method on five patients with confirmed CD. Our method outperformed other state-of-the-art registration methods, i.e. ANTS and Demons. This method has the potential for being a useful tool in structural and DW-MRI data fusion for more accurate CD diagnosis and severity assessment.
AB - Diffusivity of water molecules estimated from diffusion weighted MRI (DW-MRI) is an important biomarker to pinpoint regions with restricted diffusion such as inflamed bowel regions in patients with Crohn's Disease (CD). There is a need to fuse the information extracted from DW-MRI with other image modalities, e.g. structural T1w images, for more accurate and efficient diagnosis. However, due to low signal-to-noise ratio, distortion and lower resolution of DW-MR images compared to T1w images, fusion of these image modalities is challenging, especially in turns and folds of the bowel. This paper presents a novel method to register structural T1w and diffusion weighted images, which facilitates the image fusion. Based on the block-matching algorithm, the proposed method first determines multiple candidate matches in a neighborhood, and then iteratively finds the most probable match using additional geometric information. We examined the performance of the proposed method on five patients with confirmed CD. Our method outperformed other state-of-the-art registration methods, i.e. ANTS and Demons. This method has the potential for being a useful tool in structural and DW-MRI data fusion for more accurate CD diagnosis and severity assessment.
KW - Abdomen imaging
KW - Crohn's Disease
KW - Diffusion weighted imaging
KW - Image registration
UR - http://www.scopus.com/inward/record.url?scp=84944323718&partnerID=8YFLogxK
U2 - https://doi.org/10.1109/ISBI.2015.7163943
DO - https://doi.org/10.1109/ISBI.2015.7163943
M3 - منشور من مؤتمر
T3 - Proceedings - International Symposium on Biomedical Imaging
SP - 592
EP - 595
BT - 2015 IEEE 12th International Symposium on Biomedical Imaging, ISBI 2015
T2 - 12th IEEE International Symposium on Biomedical Imaging, ISBI 2015
Y2 - 16 April 2015 through 19 April 2015
ER -