Literature DB >> 15614220

[Reduction of radiation exposure in CT perfusion study using a quantum de-noising filter].

Tadashi Sasaki1, Takao Hanari, Makoto Sasaki, Hirofumi Oikawa, Hiroshi Gakumazawa, Miwa Okumura, Yoshihiro Ikeda, Naoko Toyoshima.   

Abstract

CT perfusion study requires repeatedly scanning the same part of the patient's head, resulting in an increase of local radiation exposure. The purpose of this study was to assess the feasibility of the ultra-low-dose technique with a quantum de-noising filter. The newly developed quantum de-noising filter selectively reduced noise by two-thirds, while maintaining spatial resolution. The low-dose protocol using the quantum de-noising filter and slow rotation speed accomplished a 68% reduction in the local radiation dose compared with the previous standard protocol. The quantum de-noising filter is considered to be useful to reduce radiation exposure and to improve image quality in CT perfusion study.

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Year:  2004        PMID: 15614220     DOI: 10.6009/jjrt.kj00003560633

Source DB:  PubMed          Journal:  Nihon Hoshasen Gijutsu Gakkai Zasshi        ISSN: 0369-4305


  7 in total

1.  Method for reducing noise in X-ray images by averaging pixels based on the normalized difference with the relevant pixel.

Authors:  Masayuki Nishiki; Kunio Shiraishi; Takuya Sakaguchi; Kyojiro Nambu
Journal:  Radiol Phys Technol       Date:  2008-06-20

2.  Improvement in image quality of noncontrast head images in multidetector-row CT by volume helical scanning with a three-dimensional denoising filter.

Authors:  Tadashi Sasaki; Makoto Sasaki; Takao Hanari; Hiroshi Gakumazawa; Yasuhiro Noshi; Miwa Okumura
Journal:  Radiat Med       Date:  2007-08-27

3.  Design of a noise-dependent shrinkage function in wavelet shrinkage of X-ray CT image.

Authors:  Naruomi Yasuda; Yoshie Kodera
Journal:  Int J Comput Assist Radiol Surg       Date:  2009-05-01       Impact factor: 2.924

4.  Radiation dose reduction in time-resolved CT angiography using highly constrained back projection reconstruction.

Authors:  Mark Supanich; Yinghua Tao; Brian Nett; Kari Pulfer; Jiang Hsieh; Patrick Turski; Charles Mistretta; Howard Rowley; Guang-Hong Chen
Journal:  Phys Med Biol       Date:  2009-06-30       Impact factor: 3.609

5.  Optimum CT reconstruction parameters for vascular and hepatocellular carcinoma models in a liver phantom with multi-level dynamic computed tomography with 64 detector rows: a basic study.

Authors:  Kazuhiro Murotani; Murotani Kazuhiro; Nobuyuki Kawai; Morio Sato; Hiroki Minamiguchi; Motoki Nakai; Tetsuo Sonomura; Seiki Hosokawa; Tadayoshi Nishioku
Journal:  Radiol Phys Technol       Date:  2013-02-27

6.  Realization of reliable cerebral-blood-flow maps from low-dose CT perfusion images by statistical noise reduction using nonlinear diffusion filtering.

Authors:  Noriyuki Saito; Kohsuke Kudo; Tsukasa Sasaki; Masahito Uesugi; Kazuhiro Koshino; Michiko Miyamoto; Shigehito Suzuki
Journal:  Radiol Phys Technol       Date:  2007-11-27

7.  Hyperacute stroke patients and catheter thrombolysis therapy: correlation between computed tomography perfusion maps and final infarction.

Authors:  Yukari Naito; Shigeko Tanaka; Yuichi Inoue; Shinsuke Ota; Saburo Sakaki; Hajime Kitagaki
Journal:  Radiat Med       Date:  2008-05-29
  7 in total

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