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MRI multicomponent relaxometry based on compressive sensing
- Publication Year :
- 2017
- Publisher :
- Institute of Electrical and Electronics Engineers Inc., 2017.
-
Abstract
- A novel application of l1-norm minimization in the MRI field is presented. The novel methodology, called Intra Voxel Analysis (IVA), by combining different acquisitions with standard resolution, is able to investigate the presence of different contributions, i.e., of different tissues, inside each imaged voxel. The approach is somehow similar to spectroscopy, but instead of searching different resonance frequencies, it discriminates within each voxel the tissues characterized by different spin-spin relaxation times. The proposed methodology is able to work on MR images acquired at full resolution by using any acquisition scheme. A phantom has been built and images for testing the approach.
- Subjects :
- Relaxometry
Nuclear and High Energy Physics
Computer science
0211 other engineering and technologies
02 engineering and technology
computer.software_genre
Imaging phantom
030218 nuclear medicine & medical imaging
03 medical and health sciences
0302 clinical medicine
Nuclear magnetic resonance
Compressive Sensing
Voxel
Nuclear Medicine and Imaging
Electronic
Statistical Signal Processing
Magnetic Resonance Imaging
Radiology, Nuclear Medicine and Imaging
Instrumentation
Electronic, Optical and Magnetic Materials
Optical and Magnetic Materials
021101 geological & geomatics engineering
Acquisition Scheme
business.industry
Resolution (electron density)
Relaxation (iterative method)
Pattern recognition
Compressed sensing
Artificial intelligence
Mr images
business
Radiology
computer
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....c1bf9c222d713d71cf5e951f4085c06e