Submillisievert CT using model-based iterative reconstruction with lung-specific setting: An initial phantom study
| Autor: | Ken Ueda, Noriyuki Tomiyama, Masahiro Yanagawa, Tomoko Gyobu, Akinori Hata, Osamu Honda |
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| Rok vydání: | 2016 |
| Předmět: |
medicine.medical_specialty
Image quality Noise reduction Image processing Iterative reconstruction Radiation Dosage Imaging phantom 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Image noise Humans Medicine Radiology Nuclear Medicine and imaging Lung Reference standards Phantoms Imaging business.industry Ultrasound General Medicine Models Theoretical 030220 oncology & carcinogenesis Radiographic Image Interpretation Computer-Assisted Radiology Tomography X-Ray Computed business Nuclear medicine Algorithms |
| Zdroj: | European Radiology. 26:4457-4464 |
| ISSN: | 1432-1084 0938-7994 |
| DOI: | 10.1007/s00330-016-4307-5 |
| Popis: | To assess image quality of filtered back-projection (FBP) and model-based iterative reconstruction (MBIR) with a conventional setting and a new lung-specific setting on submillisievert CT. A lung phantom with artificial nodules was scanned with 10 mA at 120 kVp and 80 kVp (0.14 mSv and 0.05 mSv, respectively); images were reconstructed using FBP and MBIR with conventional setting (MBIRStnd) and lung-specific settings (MBIRRP20/Tx and MBIRRP20). Three observers subjectively scored overall image quality and image findings on a 5-point scale (1 = worst, 5 = best) compared with reference standard images (50 mA-FBP at 120, 100, 80 kVp). Image noise was measured objectively. MBIRRP20/Tx performed significantly better than MBIRStnd for overall image quality in 80-kVp images (p |
| Databáze: | OpenAIRE |
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