Literature DB >> 24331272

A knowledge-based iterative model reconstruction algorithm: can super-low-dose cardiac CT be applicable in clinical settings?

Seitaro Oda1, Daisuke Utsunomiya2, Yoshinori Funama3, Kazuhiro Katahira4, Keiichi Honda4, Shinichi Tokuyasu5, Mani Vembar6, Hideaki Yuki2, Katsuo Noda7, Shuichi Oshima7, Yasuyuki Yamashita2.   

Abstract

RATIONALE AND
OBJECTIVES: To investigate whether "full" iterative reconstruction, a knowledge-based iterative model reconstruction (IMR), enables radiation dose reduction by 80% at cardiac computed tomography (CT).
MATERIALS AND METHODS: A total of 23 patients (15 men, eight women; mean age 64.3 ± 13.4 years) who underwent retrospectively electrocardiography-gated cardiac CT with dose modulation were evaluated. We compared full-dose (FD; 730 mAs) images reconstructed with filtered back projection (FBP) technique and the low-dose (LD; 146 mAs) images reconstructed with FBP and IMR techniques. Objective and subjective image quality parameters were compared among the three different CT images.
RESULTS: There was no significant difference in the CT attenuation among the three reconstructions. The mean image noise of LD-IMR (18.3 ± 10.6 Hounsfield units [HU]) was significantly lowest among the three reconstructions (41.9 ± 15.3 HU for FD-FBP and 109.9 ± 42.6 HU for LD-FBP; P < .01). The contrast-to-noise ratio of LD-IMR was better than that of FD-FBP and LD-FBP (P < .01). Visual evaluation score was also highest for LD-IMR.
CONCLUSIONS: The IMR can provide improved image quality at super-low-dose cardiac CT with 20% of the standard tube current.
Copyright © 2014 AUR. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Cardiac CT; image quality; iterative reconstruction; radiation dose

Mesh:

Year:  2014        PMID: 24331272     DOI: 10.1016/j.acra.2013.10.002

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  20 in total

1.  Computational and human observer image quality evaluation of low dose, knowledge-based CT iterative reconstruction.

Authors:  Brendan L Eck; Rachid Fahmi; Kevin M Brown; Stanislav Zabic; Nilgoun Raihani; Jun Miao; David L Wilson
Journal:  Med Phys       Date:  2015-10       Impact factor: 4.071

2.  Knowledge-based iterative model reconstruction: comparative image quality and radiation dose with a pediatric computed tomography phantom.

Authors:  Young Jin Ryu; Young Hun Choi; Jung-Eun Cheon; Seongmin Ha; Woo Sun Kim; In-One Kim
Journal:  Pediatr Radiol       Date:  2015-11-06

3.  The feasibility of sub-millisievert coronary CT angiography with low tube voltage, prospective ECG gating, and a knowledge-based iterative model reconstruction algorithm.

Authors:  Chul Hwan Park; Joohee Lee; Chisuk Oh; Kyung Hwa Han; Tae Hoon Kim
Journal:  Int J Cardiovasc Imaging       Date:  2015-10-31       Impact factor: 2.357

4.  The effect of iterative model reconstruction on coronary artery calcium quantification.

Authors:  Bálint Szilveszter; Hesham Elzomor; Mihály Károlyi; Márton Kolossváry; Rolf Raaijmakers; Kálmán Benke; Csilla Celeng; Andrea Bartykowszki; Zsolt Bagyura; Árpád Lux; Béla Merkely; Pál Maurovich-Horvat
Journal:  Int J Cardiovasc Imaging       Date:  2015-08-19       Impact factor: 2.357

5.  Feasibility study of low tube voltage (80 kVp) coronary CT angiography combined with contrast medium reduction using iterative model reconstruction (IMR) on standard BMI patients.

Authors:  Fan Zhang; Li Yang; Xiang Song; Ying-Na Li; Yan Jiang; Xing-Hua Zhang; Hai-Yue Ju; Jian Wu; Rui-Ping Chang
Journal:  Br J Radiol       Date:  2015-11-26       Impact factor: 3.039

6.  Impact of knowledge-based iterative model reconstruction on myocardial late iodine enhancement in computed tomography and comparison with cardiac magnetic resonance.

Authors:  Yuki Tanabe; Teruhito Kido; Akira Kurata; Naoki Fukuyama; Takahiro Yokoi; Tomoyuki Kido; Teruyoshi Uetani; Mani Vembar; Amar Dhanantwari; Shinichi Tokuyasu; Natsumi Yamashita; Teruhito Mochizuki
Journal:  Int J Cardiovasc Imaging       Date:  2017-04-13       Impact factor: 2.357

7.  256-Slice coronary computed tomographic angiography in patients with atrial fibrillation: optimal reconstruction phase and image quality.

Authors:  Seitaro Oda; Keiichi Honda; Akira Yoshimura; Kazuhiro Katahira; Katsuo Noda; Shuichi Oshima; Hideaki Yuki; Masafumi Kidoh; Daisuke Utsunomiya; Takeshi Nakaura; Tomohiro Namimoto; Yasuyuki Yamashita
Journal:  Eur Radiol       Date:  2015-05-21       Impact factor: 5.315

8.  Iterative model reconstruction (IMR) algorithm for reduced radiation dose renal artery CT angiography with different tube voltage protocols.

Authors:  Le Qin; ZePeng Ma; FuHua Yan; WenJie Yang
Journal:  Radiol Med       Date:  2017-10-20       Impact factor: 3.469

9.  Delayed contrast-enhanced computed tomography in patients with known or suspected cardiac sarcoidosis: A feasibility study.

Authors:  Tadao Aikawa; Noriko Oyama-Manabe; Masanao Naya; Hiroshi Ohira; Ayako Sugimoto; Ichizo Tsujino; Masahiko Obara; Osamu Manabe; Kohsuke Kudo; Hiroyuki Tsutsui; Nagara Tamaki
Journal:  Eur Radiol       Date:  2017-04-05       Impact factor: 5.315

10.  CT reconstruction algorithms affect histogram and texture analysis: evidence for liver parenchyma, focal solid liver lesions, and renal cysts.

Authors:  Su Joa Ahn; Jung Hoon Kim; Sang Min Lee; Sang Joon Park; Joon Koo Han
Journal:  Eur Radiol       Date:  2018-11-19       Impact factor: 5.315

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