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  1. C. 医薬保健学域; 医学類・薬学類・医薬科学類・保健学類
  2. c 10. 学術雑誌掲載論文(医・保健)
  3. 1. 査読済論文(医学・保健)

Optimization of iterative reconstruction parameters with attenuation correction, scatter correction and resolution recovery in myocardial perfusion SPECT/CT

http://hdl.handle.net/2297/36500
http://hdl.handle.net/2297/36500
af307214-5136-46ee-be13-19abe777af1b
名前 / ファイル ライセンス アクション
ME-PR-NAKAJIMA-K-60.pdf ME-PR-NAKAJIMA-K-60.pdf (1.2 MB)
Item type 学術雑誌論文 / Journal Article(1)
公開日 2017-10-03
タイトル
タイトル Optimization of iterative reconstruction parameters with attenuation correction, scatter correction and resolution recovery in myocardial perfusion SPECT/CT
言語
言語 eng
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_6501
資源タイプ journal article
著者 Okuda, Koichi

× Okuda, Koichi

WEKO 25446

Okuda, Koichi

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Nakajima, Kenichi

× Nakajima, Kenichi

WEKO 320
e-Rad 00167545
金沢大学研究者情報 00167545
研究者番号 00167545

Nakajima, Kenichi

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Yamada, Masato

× Yamada, Masato

WEKO 25447

Yamada, Masato

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Wakabayashi, Hiroshi

× Wakabayashi, Hiroshi

WEKO 489
金沢大学研究者情報 60622818
研究者番号 60622818

Wakabayashi, Hiroshi

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Ichikawa, Hajime

× Ichikawa, Hajime

WEKO 1328
金沢大学研究者情報 60303939
研究者番号 60303939

Ichikawa, Hajime

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Arai, Hiroyuki

× Arai, Hiroyuki

WEKO 25448

Arai, Hiroyuki

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Matsuo, Shinro

× Matsuo, Shinro

WEKO 599
金沢大学研究者情報 30359773
研究者番号 30359773

Matsuo, Shinro

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Taki, Junichi

× Taki, Junichi

WEKO 264
e-Rad 00167545
金沢大学研究者情報 10251927
研究者番号 10251927

Taki, Junichi

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Hashimoto, Mitsumasa

× Hashimoto, Mitsumasa

WEKO 1413
金沢大学研究者情報 70293975
研究者番号 70293975

Hashimoto, Mitsumasa

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Kinuya, Seigo

× Kinuya, Seigo

WEKO 115
e-Rad 20281024
金沢大学研究者情報 20281024
研究者番号 20281024

Kinuya, Seigo

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書誌情報 Annals of Nuclear Medicine

巻 28, 号 1, p. 60-68, 発行日 2014-01-01
ISSN
収録物識別子タイプ ISSN
収録物識別子 0914-7187
NCID
収録物識別子タイプ NCID
収録物識別子 AA10708017
DOI
関連タイプ isVersionOf
識別子タイプ DOI
関連識別子 10.1007/s12149-013-0785-6
出版者
出版者 Japanese Society of Nuclear Medicine 日本核医学会 / Springer Verlag (Germany)
抄録
内容記述タイプ Abstract
内容記述 Objective: The aim of this study was to characterize the optimal reconstruction parameters for ordered-subset expectation maximization (OSEM) with attenuation correction, scatter correction, and depth-dependent resolution recovery (OSEMACSCRR). We assessed the optimal parameters for OSEMACSCRR in an anthropomorphic torso phantom study, and evaluated the validity of the reconstruction parameters in the groups of normal volunteers and patients with abnormal perfusion. Methods: Images of the anthropomorphic torso phantom, 9 normal volunteers and 7 patients undergoing myocardial perfusion SPECT were acquired with a SPECT/CT scanner. SPECT data comprised a 64 × 64 matrix with an acquisition pixel size of 6.6 mm. A normalized mean square error (NMSE) of the phantom image was calculated to determine both optimal OSEM update and a full width at half maximum (FWHM) of Gaussian filter. We validated the myocardial count, contrast and noise characteristic for clinical subjects derived from OSEMACSCRR processing. OSEM with depth-dependent resolution recovery (OSEMRR) and filtered back projection (FBP) were simultaneously performed to compare OSEMACSCRR. Results: The combination of OSEMACSCRR with 90-120 OSEM updates and Gaussian filter with 13.2-14.85 mm FWHM yielded low NMSE value in the phantom study. When we used OSEMACSCRR with 120 updates and Gaussian filter with 13.2 mm FWHM in the normal volunteers, myocardial contrast showed significantly higher value than that derived from 120 updates and 14.85 mm FWHM. OSEMACSCRR with the combination of 90-120 OSEM updates and 14.85 mm FWHM produced lowest % root mean square (RMS) noise. Regarding the defect contrast of patients with abnormal perfusion, OSEMACSCRR with the combination of 90-120 OSEM updates and 13.2 mm FWHM produced significantly higher value than that derived from 90-120 OSEM updates and 14.85 mm FWHM. OSEMACSCRR was superior to FBP for the % RMS noise (8.52 ± 1.08 vs. 9.55 ± 1.71, p = 0.02) and defect contrast (0.368 ± 0.061 vs. 0.327 ± 0.052, p = 0.01), respectively. Conclusions: Clinically optimized the number of OSEM updates and FWHM of Gaussian filter were (1) 120 updates and 13.2 mm, and (2) 90-120 updates and 14.85 mm on the OSEMACSCRR processing, respectively. Further assessment may be required to determine the optimal iterative reconstruction parameters in a larger patient population. © 2013 The Japanese Society of Nuclear Medicine.
著者版フラグ
出版タイプ AM
出版タイプResource http://purl.org/coar/version/c_ab4af688f83e57aa
関連URI
識別子タイプ URI
関連識別子 http://www.jsnm.org/
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