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Bayesian inference using hierarchical and spatial priors for intravoxel incoherent motion MR imaging in the brain: Analysis of cancer and acute stroke
- Source :
- Medical Image Analysis, 73
- Publication Year :
- 2021
- Publisher :
- Elsevier BV, 2021.
-
Abstract
- The intravoxel incoherent motion (IVIM) model allows to map diffusion (D) and perfusion-related parameters (F and D*). Parameter estimation is, however, error-prone due to the non-linearity of the signal model, the limited signal-to-noise ratio (SNR) and the small volume fraction of perfusion in the in-vivo brain. In the present work, the performance of Bayesian inference was examined in the presence of brain pathologies characterized by hypo- and hyperperfusion. In particular, a hierarchical and a spatial prior were combined. Performance was compared relative to conventional segmented least squares regression, hierarchical prior only (non-segmented and segmented data likelihoods) and a deep learning approach. Realistic numerical brain IVIM simulations were conducted to assess errors relative to ground truth. In-vivo, data of 11 central nervous system cancer patients and 9 patients with acute stroke were acquired. The proposed method yielded reduced error in simulations for both the cancer and acute stroke scenarios compared to other methods across the whole investigated SNR range. The contrast-to-noise ratio of the proposed method was better or on par compared to the other techniques in-vivo. The proposed Bayesian approach hence improves IVIM parameter estimation in brain cancer and acute stroke.<br />Medical Image Analysis, 73<br />ISSN:1361-8415<br />ISSN:1361-8423
- Subjects :
- 1707 Computer Vision and Pattern Recognition
Computer science
Computer Graphics and Computer
Bayesian inference
Bayesian probability
Intravoxel incoherent motion imaging
610 Medicine & health
Health Informatics
1704 Computer Graphics and Computer-Aided Design
616: Innere Medizin und Krankheiten
170 Ethics
Motion
Neoplasms
Prior probability
Range (statistics)
Humans
2741 Radiology, Nuclear Medicine and Imaging
Acute stroke
10237 Institute of Biomedical Engineering
Radiology, Nuclear Medicine and imaging
Aided Design
3614 Radiological and Ultrasound Technology
Intravoxel incoherent motion
2718 Health Informatics
Cancer
Ground truth
510: Mathematik
Radiological and Ultrasound Technology
Estimation theory
business.industry
Deep learning
Brain
Bayes Theorem
Pattern recognition
Magnetic Resonance Imaging
Computer Graphics and Computer-Aided Design
Algorithm
Stroke
Diffusion Magnetic Resonance Imaging
Radiology Nuclear Medicine and imaging
Computer Vision and Pattern Recognition
Artificial intelligence
business
Algorithms
Human
Subjects
Details
- ISSN :
- 13618415 and 13618423
- Volume :
- 73
- Database :
- OpenAIRE
- Journal :
- Medical Image Analysis
- Accession number :
- edsair.doi.dedup.....d11a4691b2a437c3fe2fa9b48db14247