Perturbation-Based Quality Surrogate for Scatter Estimation and Parameter Optimization in Anti-Scatter Grid (ASG)-CBCT

被引：0

作者：

Ruan, D. ^{[1
]}

Bayat, F. ^{[2
]}

Altunbas, C. ^{[2
]}

机构：

[1] Univ Calif Los Angeles, Sch Med, Los Angeles, CA USA

[2] Univ Colorado, Sch Med, Aurora, CO USA

来源：

MEDICAL PHYSICS | 2022年 / 49卷 / 06期

关键词：

D O I：

暂无

中图分类号：

R8 [特种医学]; R445 [影像诊断学];

学科分类号：

1002 ; 100207 ; 1009 ;

摘要：

SU-H300-Ie

引用

页码：E174 / E175

页数：2

共 7 条

[1] Coupling the use of anti-scatter grid with analytical scatter estimation in cone beam CT
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Dinten, J. -M.
MEDICAL IMAGING 2007: PHYSICS OF MEDICAL IMAGING, PTS 1-3, 2007, 6510
[2] Impact of anti-scatter grid design image quality of CBCT scans for head and neck cancer imaging
Stankovic, U.
Van Herk, M.
Ploeger, L. S.
Van Kranen, S.
Sonke, J. J.
RADIOTHERAPY AND ONCOLOGY, 2014, 111 : S265 - S265
[3] CBCT-Based Dose Calculations with a Two-Dimensional Anti-Scatter Grid Prototype: The Effect of Scatter Suppression On Dose-Calculation Accuracy
Miller, B.
Alexeev, T.
Thomas, D.
Stuhr, K.
Kavanagh, B.
Miften, M.
Altunbas, C.
MEDICAL PHYSICS, 2018, 45 (06) : E151 - E151
[4] Feasibility of dual-energy CBCT material decomposition in the human torso with 2D anti-scatter grids and grid-based scatter sampling
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[5] Feasibility of Deep-Learning Based Synthetic Anti-Scatter Grid for Chest Radiographs
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Benyakoub, A.
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[6] Generalizability of deep-learning-based CBCT image enhancement with respect to anti-scatter grids.
Staal, X.
Sonke, J.
RADIOTHERAPY AND ONCOLOGY, 2022, 170 : S692 - S693
[7] Scatter estimation and removal of anti-scatter grid-line artifacts from anthropomorphic head phantom images taken with a high resolution image detector
Rana, R.
Jain, A.
Shankar, A.
Bednarek, D. R.
Rudin, S.
MEDICAL IMAGING 2016: PHYSICS OF MEDICAL IMAGING, 2016, 9783

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