Ultra-High-Resolution Computed Tomography of the Lung: Image Quality of a Prototype Scanner
Autor: | Shiho Gomi, Masahiro Kazama, Yasuo Saito, Kazuo Awai, Yoshihisa Muramatsu, Yasuji Oshiro, Daisuke Komoto, Takaaki Tsuchida, Naobumi Tochigi, Noriyuki Moriyama, Noriyuki Tomiyama, Hirobumi Nagasawa, Hiroshi Moriya, Shinsuke Tsukagoshi, Koji Tsuta, Tomohiko Aso, Hiroyuki Ishikawa, Masahiko Kusumoto, Shun Ichi Watanabe, Masahiro Suzuki, Naoya Koizumi, Seitaro Oda, Osamu Honda, Akiko Miyagi Maeshima, Naoki Sugihara, Hisao Asamura, Masahiro Yanagawa, Yukio Muramatsu, Kazuto Ashizawa, Ryutaro Kakinuma |
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Rok vydání: | 2015 |
Předmět: |
Scanner
medicine.medical_specialty Lung Neoplasms Image quality ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION lcsh:Medicine Adenocarcinoma of Lung Computed tomography Adenocarcinoma Hardware_GENERAL Image Processing Computer-Assisted Image noise Humans Medicine lcsh:Science Lung ComputingMethodologies_COMPUTERGRAPHICS Image-guided radiation therapy Observer Variation PET-CT Multidisciplinary medicine.diagnostic_test Phantoms Imaging business.industry lcsh:R Correction Ultra high resolution lcsh:Q Radiology Tomography X-Ray Computed business Nuclear medicine Research Article |
Zdroj: | PLoS ONE PLoS ONE, Vol 10, Iss 9, p e0137165 (2015) |
ISSN: | 1932-6203 |
Popis: | Purpose: The image noise and image quality of a prototype ultra-high-resolution computed tomography (U-HRCT) scanner was evaluated and compared with those of conventional high-resolution CT (C-HRCT) scanners. Materials and Methods: This study was approved by the institutional review board. A U-HRCT scanner prototype with 0.25 mm × 4 rows and operating at 120 mAs was used. The C-HRCT images were obtained using a 0.5 mm × 16 or 0.5 mm × 64 detector-row CT scanner operating at 150 mAs. Images from both scanners were reconstructed at 0.1-mm intervals; the slice thickness was 0.25 mm for the U-HRCT scanner and 0.5 mm for the C-HRCT scanners. For both scanners, the display field of view was 80 mm. The image noise of each scanner was evaluated using a phantom. U-HRCT and C-HRCT images of 53 images selected from 37 lung nodules were then observed and graded using a 5-point score by 10 board-certified thoracic radiologists. The images were presented to the observers randomly and in a blinded manner. Results: The image noise for U-HRCT (100.87 ± 0.51 Hounsfield units [HU]) was greater than that for C-HRCT (40.41 ± 0.52 HU; P PLOS ONE, 10(9), e0137165; 2015 |
Databáze: | OpenAIRE |
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