Quantitative susceptibility mapping of prostate with separate calculations for water and fat regions for reducing shading artifacts
| Autor: | Yoshihisa Soutome, Yoshitaka Bito, Ryota Sato, Hisaaki Ochi, Toru Shirai |
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| Rok vydání: | 2020 |
| Předmět: |
Adult
Male Image quality Biomedical Engineering Biophysics Human prostate 030218 nuclear medicine & medical imaging 03 medical and health sciences Imaging Three-Dimensional 0302 clinical medicine Prostate Image Processing Computer-Assisted medicine Humans Radiology Nuclear Medicine and imaging Mathematics Phantoms Imaging Water Quantitative susceptibility mapping Middle Aged Magnetic Resonance Imaging Processing methods medicine.anatomical_structure Adipose Tissue Shading Artifacts Biological system Algorithms 030217 neurology & neurosurgery |
| Zdroj: | Magnetic Resonance Imaging. 66:22-29 |
| ISSN: | 0730-725X |
| Popis: | We propose a novel processing method for reducing shading artifacts in quantitative susceptibility mapping (QSM) for prostate imaging. In the conventional method, calculation errors in the boundary regions between water and fat cause shading artifacts that degrade the image quality for QSM. In the proposed method, water and fat regions are separated, and susceptibilities in these two regions are calculated separately and then combined. Susceptibility in the water regions is calculated by using the fat regions as a background susceptibility source to remove shading artifacts. Susceptibility in the fat regions is calculated by using the constraint that shading artifacts in the water regions are suppressed to improve accuracy. In quantitative evaluation of the method with a numerical simulation, calculation errors for the water and fat regions were reduced by 62% and 85%, respectively, compared with the conventional method. In visual evaluation using human prostate imaging, the proposed method also reduced the shading artifacts unlike the conventional method. The proposed method is expected to improve the performance of QSM in diagnosing such diseases as prostate cancer. |
| Databáze: | OpenAIRE |
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