Noise power spectrum in compressed sensing magnetic resonance imaging
| Autor: | Kei Fukuzawa, Yoshio Machida, Yuki Nawa, Ryo Kamoshida, Junji Takahashi, Yuki Ohmoto-Sekine, Minami Aoba |
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| Rok vydání: | 2021 |
| Předmět: |
Radiation
Materials science business.industry Image quality Noise reduction Physical Therapy Sports Therapy and Rehabilitation General Medicine Iterative reconstruction Signal-To-Noise Ratio Magnetic Resonance Imaging Noise (electronics) 030218 nuclear medicine & medical imaging 03 medical and health sciences Acceleration Nonlinear system 0302 clinical medicine Optics Compressed sensing Undersampling 030220 oncology & carcinogenesis Image Processing Computer-Assisted Radiology Nuclear Medicine and imaging business |
| Zdroj: | Radiological Physics and Technology. 14:93-99 |
| ISSN: | 1865-0341 1865-0333 |
| DOI: | 10.1007/s12194-021-00608-4 |
| Popis: | Compressed sensing magnetic resonance imaging (CS-MRI) uses random undersampling and nonlinear iterative reconstruction. This study was conducted to clarify the noise power spectrum (NPS) characteristics of CS-MRI. We measured two-dimensional (2D) NPS of CS-MRI with various acceleration factors (AF) and denoising factors (DF) and compared their appearance to those of conventional parallel MR images. Results showed that the 2D NPS of CS-MRI exhibited the following characteristics: (1) local decrease in the low-frequency region, (2) gradual decrease in the high-frequency region, and (3) a stripe pattern aligned at unequal intervals in the phase-encoding direction. Specifically, the 2D NPS of CS-MRI reflects the random undersampling pattern of k-space data. Additionally, 2D NPS allowed visualization of AF-dependent noise characteristics of CS-MRI. Furthermore, 1D NPS graph shapes clarified the CS-MRI noise characteristic dependence on AF and DF. |
| Databáze: | OpenAIRE |
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