Literature DB >> 29297139

Comparative evaluation of image quality among different detector configurations using area detector computed tomography.

Yohei Miura1,2, Katsuhiro Ichikawa3, Ichiro Fujimura2,4, Takanori Hara5, Takashi Hoshino6, Shinji Niwa2,5, Masao Funahashi1.   

Abstract

The 320-detector row computed tomography (CT) system, i.e., the area detector CT (ADCT), can perform helical scanning with detector configurations of 4-, 16-, 32-, 64-, 80-, 100-, and 160-detector rows for routine CT examinations. This phantom study aimed to compare the quality of images obtained using helical scan mode with different detector configurations. The image quality was measured using modulation transfer function (MTF) and noise power spectrum (NPS). The system performance function (SP), based on the pre-whitening theorem, was calculated as MTF2/NPS, and compared between configurations. Five detector configurations, i.e., 0.5 × 16 mm (16 row), 0.5 × 64 mm (64 row), 0.5 × 80 mm (80 row), 0.5 × 100 mm (100 row), and 0.5 × 160 mm (160 row), were compared using a constant volume CT dose index (CTDIvol) of 25 mGy, simulating the scan of an adult abdomen, and with a constant effective mAs value. The MTF was measured using the wire method, and the NPS was measured from images of a 20-cm diameter phantom with uniform content. The SP of 80-row configuration was the best, for the constant CTDIvol, followed by the 64-, 160-, 16-, and 100-row configurations. The decrease in the rate of the 100- and 160-row configurations from the 80-row configuration was approximately 30%. For the constant effective mAs, the SPs of the 100-row and 160-row configurations were significantly lower, compared with the other three detector configurations. The 80- and 64-row configurations were adequate in cases that required dose efficiency rather than scan speed.

Entities:  

Keywords:  Computed tomography; Detector configurations; Helical scan; Image quality; System performance function; Volume CT dose index

Mesh:

Year:  2018        PMID: 29297139     DOI: 10.1007/s12194-017-0437-y

Source DB:  PubMed          Journal:  Radiol Phys Technol        ISSN: 1865-0333


  2 in total

1.  Improved scan method for dental imaging using multidetector computed tomography: a phantom study.

Authors:  Yuki Sakai; Kazutoshi Okamura; Erina Kitamoto; Yukiko N Kami; Takashi Shirasaka; Ryoji Mikayama; Masato Tatsumi; Masatoshi Kondo; Toyoyuki Kato; Kazunori Yoshiura
Journal:  Dentomaxillofac Radiol       Date:  2020-04-29       Impact factor: 2.419

2.  Performance of clinically available deep learning image reconstruction in computed tomography: a phantom study.

Authors:  Hiroki Kawashima; Katsuhiro Ichikawa; Tadanori Takata; Wataru Mitsui; Hiroshi Ueta; Norihide Yoneda; Satoshi Kobayashi
Journal:  J Med Imaging (Bellingham)       Date:  2020-12-16
  2 in total

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