Structural and diffusion weighted MRI registration for biomarker fusion in Crohn's disease diagnosis

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.

[1]  Aytekin Oto,et al.  Evaluation of diffusion-weighted MR imaging for detection of bowel inflammation in patients with Crohn's disease. , 2009, Academic radiology.

[2]  Sébastien Ourselin,et al.  Block Matching: A General Framework to Improve Robustness of Rigid Registration of Medical Images , 2000, MICCAI.

[3]  Stefan Wesarg,et al.  Deformable registration of MR images using a hierarchical patch based approach with a normalized metric quality measure , 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

[4]  Shawn Cowper,et al.  Nephrogenic systemic fibrosis , 2010, F1000 medicine reports.

[5]  Guido Gerig,et al.  User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability , 2006, NeuroImage.

[6]  L. R. Dice Measures of the Amount of Ecologic Association Between Species , 1945 .

[7]  Brian B. Avants,et al.  Symmetric diffeomorphic image registration with cross-correlation: Evaluating automated labeling of elderly and neurodegenerative brain , 2008, Medical Image Anal..

[8]  Xavier Pennec,et al.  Multi-scale EM-ICP: A Fast and Robust Approach for Surface Registration , 2002, ECCV.

[9]  Herbert Köstler,et al.  Small-bowel MRI in children and young adults with Crohn disease: retrospective head-to-head comparison of contrast-enhanced and diffusion-weighted MRI , 2012, Pediatric Radiology.

[10]  Tom Vercauteren,et al.  Diffeomorphic demons: Efficient non-parametric image registration , 2009, NeuroImage.

[11]  Simon K. Warfield,et al.  Spatially-Constrained Probability Distribution Model of Incoherent Motion (SPIM) in Diffusion Weighted MRI Signals of Crohn's Disease , 2014, ABDI@MICCAI.

[12]  Simon K. Warfield,et al.  Spatially Constrained Incoherent Motion (SCIM) Model Improves Quantitative Diffusion-Weighted MRI Analysis of Crohn's Disease Patients , 2013, Abdominal Imaging.