| Item type |
文献 / Documents(1) |
| 公開日 |
2020-05-20 |
| アクセス権 |
|
|
アクセス権 |
open access |
| 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 |
| 出版社版DOI |
|
|
|
識別子タイプ |
DOI |
|
|
関連識別子 |
https://doi.org/10.2152/jmi.67.30 |
|
|
言語 |
ja |
|
|
関連名称 |
10.2152/jmi.67.30 |
| 出版タイプ |
|
|
出版タイプ |
VoR |
|
出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| タイトル |
|
|
タイトル |
Fast Statistical Iterative Reconstruction for Mega-voltage Computed Tomography |
|
言語 |
en |
| タイトル別表記 |
|
|
その他のタイトル |
Fast Iterative Reconstruction in MVCT |
|
言語 |
en |
| 著者 |
オザキ, ショウ
芳賀, 昭弘
Chao, Edward
Maurer, Calvin
ナワ, カナブ
オオタ, タケシ
ナカモト, タカヒロ
ノザワ, ユウキ
マゴメ, タイキ
ナカノ, マサヒロ
ナカガワ, ケイイチ
|
| 抄録 |
|
|
内容記述タイプ |
Abstract |
|
内容記述 |
Statistical iterative reconstruction is expected to improve the image quality of computed tomography (CT). However, one of the challenges of iterative reconstruction is its large computational cost. The purpose of this review is to summarize a fast iterative reconstruction algorithm by optimizing reconstruction parameters. Megavolt projection data was acquired from a TomoTherapy system and reconstructed using in-house statistical iterative reconstruction algorithm. Total variation was used as the regularization term and the weight of the regularization term was determined by evaluating signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and visual assessment of spatial resolution using Gammex and Cheese phantoms. Gradient decent with an adaptive convergence parameter, ordered subset expectation maximization (OSEM), and CPU/GPU parallelization were applied in order to accelerate the present reconstruction algorithm. The SNR and CNR of the iterative reconstruction were several times better than that of filtered back projection (FBP). The GPU parallelization code combined with the OSEM algorithm reconstructed an image several hundred times faster than a CPU calculation. With 500 iterations, which provided good convergence, our method produced a 512 × 512 pixel image within a few seconds. The image quality of the present algorithm was much better than that of FBP for patient data. |
|
言語 |
en |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Statistical iterative reconstruction |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Fast reconstruction algorithm |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Maximum a posteriori estimation |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Megavoltage CT |
| 書誌情報 |
en : The Journal of Medical Investigation
巻 67,
号 1-2,
p. 30-39,
発行日 2020-02
|
| 収録物ID |
|
|
収録物識別子タイプ |
ISSN |
|
収録物識別子 |
13496867 |
| 収録物ID |
|
|
収録物識別子タイプ |
ISSN |
|
収録物識別子 |
13431420 |
| 収録物ID |
|
|
収録物識別子タイプ |
NCID |
|
収録物識別子 |
AA12022913 |
| 収録物ID |
|
|
収録物識別子タイプ |
NCID |
|
収録物識別子 |
AA11166929 |
| 出版者 |
|
|
出版者 |
Tokushima University Faculty of Medicine |
|
言語 |
en |
| EID |
|
|
識別子 |
363965 |
|
識別子タイプ |
URI |
| 言語 |
|
|
言語 |
eng |
jmi_67_1-2_30.pdf (2.2 MB)
