151. Breathing deformation model - application to multi-resolution abdominal MRI
- Author
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Mario Breitkopf, Soumick Chatterjee, Georg Rose, Chompunuch Sarasaen, Domenico Iuso, and Oliver Speck
- Subjects
FOS: Computer and information sciences ,Similarity (geometry) ,Computer Vision and Pattern Recognition (cs.CV) ,Physics::Medical Physics ,Computer Science - Computer Vision and Pattern Recognition ,Image registration ,Deformation (meteorology) ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,0302 clinical medicine ,Abdomen ,FOS: Electrical engineering, electronic engineering, information engineering ,medicine ,Computer vision ,Image resolution ,medicine.diagnostic_test ,business.industry ,Respiration ,Image and Video Processing (eess.IV) ,Magnetic resonance imaging ,Electrical Engineering and Systems Science - Image and Video Processing ,Magnetic Resonance Imaging ,Computer Science::Computer Vision and Pattern Recognition ,Dynamic contrast-enhanced MRI ,Metric (mathematics) ,Breathing ,Artificial intelligence ,business ,Algorithms ,030217 neurology & neurosurgery ,Geology - Abstract
Dynamic MRI is a technique of acquiring a series of images continuously to follow the physiological changes over time. However, such fast imaging results in low resolution images. In this work, abdominal deformation model computed from dynamic low resolution images have been applied to high resolution image, acquired previously, to generate dynamic high resolution MRI. Dynamic low resolution images were simulated into different breathing phases (inhale and exhale). Then, the image registration between breathing time points was performed using the B-spline SyN deformable model and using cross-correlation as a similarity metric. The deformation model between different breathing phases were estimated from highly undersampled data. This deformation model was then applied to the high resolution images to obtain high resolution images of different breathing phases. The results indicated that the deformation model could be computed from relatively very low resolution images., 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
- Published
- 2019
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