Fast algorithm for fluorescent x-ray CT reconstruction

被引：0

作者：

Yuasa, T ^{[1
]}

Takeda, T ^{[1
]}

Dilmanian, FA ^{[1
]}

Akiba, M ^{[1
]}

Hyodo, K ^{[1
]}

Akatsuka, T ^{[1
]}

Itai, Y ^{[1
]}

机构：

[1] Yamagata Univ, Fac Engn, Yonezawa, Yamagata 992, Japan

来源：

PROCEEDINGS OF THE 19TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOL 19, PTS 1-6: MAGNIFICENT MILESTONES AND EMERGING OPPORTUNITIES IN MEDICAL ENGINEERING | 1997年 / 19卷

关键词：

fluorescent x-ray; computed tomography; conjugate gradient method; singular value decomposition; simultaneous iterative reconstruction technique;

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

We describe a fast algorithm for the fluorescent xray computed tomography (FXCT) reconstruction. The proposed FXCT reconstruction involves solving the algebraic equation system whose input is the measured FXCT projections. The system is described by a large-scale sparse matrix. First, we propose a fast algorithm for FXCT reconstruction using a conjugate gradient method (CGM) based on an efficient data handling routine. Next, we demonstrate the algorithm's effectiveness by applying it to data obtained from simulations and from experiments. Finally, we show that optimization CGM is better than those of the performance of the other iterative solutions, such as the simultaneous iterative reconstruction technique (SIRT).

引用

页码：863 / 866

页数：4

共 50 条

[11] An FBP image reconstruction algorithm for x-ray differential phase contrast CT
Qi, Zhihua
Chen, Guang-Hong
MEDICAL IMAGING 2008: PHYSICS OF MEDICAL IMAGING, PTS 1-3, 2008, 6913
[12] Statistical iterative reconstruction algorithm for X-ray phase-contrast CT
Dieter Hahn
Pierre Thibault
Andreas Fehringer
Martin Bech
Thomas Koehler
Franz Pfeiffer
Peter B. Noël
Scientific Reports, 5
[13] A multi-resolution fast reconstruction algorithm for X-ray in-line phase contrast CT with sparse sampling
Fu, Jian
Zhao, Hong-hu
2015 FIFTH INTERNATIONAL CONFERENCE ON INSTRUMENTATION AND MEASUREMENT, COMPUTER, COMMUNICATION AND CONTROL (IMCCC), 2015, : 1771 - 1774
[14] Sparse reconstruction methods in X-ray CT
Abascal, J. F. P. J.
Abella, M.
Mory, C.
Ducros, N.
de Molina, C.
Marinetto, E.
Peyrin, F.
Desco, M.
DEVELOPMENTS IN X-RAY TOMOGRAPHY XI, 2017, 10391
[15] Ordered subset reconstruction for x-ray CT
Beekman, FJ
Kamphuis, C
PHYSICS IN MEDICINE AND BIOLOGY, 2001, 46 (07): : 1835 - 1844
[16] Iterative reconstruction methods in X-ray CT
Beister, Marcel
Kolditz, Daniel
Kalender, Willi A.
PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS, 2012, 28 (02): : 94 - 108
[17] Forward-Projection Architecture for Fast Iterative Image Reconstruction in X-Ray CT
Kim, Jung Kuk
Fessler, Jeffrey A.
Zhang, Zhengya
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2012, 60 (10) : 5508 - 5518
[18] Fused x-ray and fast neutron CT reconstruction for imaging large and dense objects
Champley, Kyle M. M.
Hardy, Anthony J. J.
Cherepy, Nerine
Townsend, Andrew
Hall, James
Harke, Kathryn J. J.
Carter, Clint
Bendahan, Joseph
Tringe, Joseph W. W.
JOURNAL OF APPLIED PHYSICS, 2022, 132 (15)
[19] Fast spectral x-ray CT reconstruction with data-adaptive, convolutional regularization
Clark, D. P.
Badea, C. T.
MEDICAL IMAGING 2020: PHYSICS OF MEDICAL IMAGING, 2020, 11312
[20] New types of X-ray computed tomography (CT) with synchrotron radiation: Fluorescent X-ray CT and phase-contrast X-ray CT using interferometer
Takeda, T
Momose, A
Yu, QW
Yuasa, T
Dilmanian, FA
Akatsuka, T
Itai, Y
CELLULAR AND MOLECULAR BIOLOGY, 2000, 46 (06) : 1077 - 1088

← 1 2 3 4 5 →