A new simple iterative reconstruction algorithm for SPECT transmission measurement

Do Sik Hwang; Gengsheng L. Zeng

doi:10.1118/1.1944288

A new simple iterative reconstruction algorithm for SPECT transmission measurement

Do Sik Hwang, Gengsheng L. Zeng

Department of Electrical and Electronic Engineering

Research output: Contribution to journal › Article › peer-review

6 Citations (Scopus)

Abstract

This paper proposes a new iterative reconstruction algorithm for transmission tomography and compares this algorithm with several other methods. The new algorithm is simple and resembles the emission ML-EM algorithm in form. Due to its simplicity, it is easy to implement and fast to compute a new update at each iteration. The algorithm also always guarantees non-negative solutions. Evaluations are performed using simulation studies and real phantom data. Comparisons with other algorithms such as convex, gradient, and logMLEM show that the proposed algorithm is as good as others and performs better in some cases.

Original language	English
Pages (from-to)	2312-2319
Number of pages	8
Journal	Medical physics
Volume	32
Issue number	7
DOIs	https://doi.org/10.1118/1.1944288
Publication status	Published - 2005 Jul

Bibliographical note

Funding Information:
This work was supported by the National Institutes of Biomedical Imaging and Bioengineering, and National Cancer Institute of the National Institutes of Health under grants CA 100181 and EB00121. We thank Dr. Roy Rowley of the Utah Center for Advanced Imaging Research for editing our manuscript.

All Science Journal Classification (ASJC) codes

Biophysics
Radiology Nuclear Medicine and imaging

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10.1118/1.1944288

Cite this

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abstract = "This paper proposes a new iterative reconstruction algorithm for transmission tomography and compares this algorithm with several other methods. The new algorithm is simple and resembles the emission ML-EM algorithm in form. Due to its simplicity, it is easy to implement and fast to compute a new update at each iteration. The algorithm also always guarantees non-negative solutions. Evaluations are performed using simulation studies and real phantom data. Comparisons with other algorithms such as convex, gradient, and logMLEM show that the proposed algorithm is as good as others and performs better in some cases.",

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note = "Funding Information: This work was supported by the National Institutes of Biomedical Imaging and Bioengineering, and National Cancer Institute of the National Institutes of Health under grants CA 100181 and EB00121. We thank Dr. Roy Rowley of the Utah Center for Advanced Imaging Research for editing our manuscript.",

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N2 - This paper proposes a new iterative reconstruction algorithm for transmission tomography and compares this algorithm with several other methods. The new algorithm is simple and resembles the emission ML-EM algorithm in form. Due to its simplicity, it is easy to implement and fast to compute a new update at each iteration. The algorithm also always guarantees non-negative solutions. Evaluations are performed using simulation studies and real phantom data. Comparisons with other algorithms such as convex, gradient, and logMLEM show that the proposed algorithm is as good as others and performs better in some cases.

AB - This paper proposes a new iterative reconstruction algorithm for transmission tomography and compares this algorithm with several other methods. The new algorithm is simple and resembles the emission ML-EM algorithm in form. Due to its simplicity, it is easy to implement and fast to compute a new update at each iteration. The algorithm also always guarantees non-negative solutions. Evaluations are performed using simulation studies and real phantom data. Comparisons with other algorithms such as convex, gradient, and logMLEM show that the proposed algorithm is as good as others and performs better in some cases.

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A new simple iterative reconstruction algorithm for SPECT transmission measurement

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

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