Real phantom datasets for the evaluation of reconstruction algorithms at various dose conditions

Hao Gong; Chuang Miao; Hengyong Yu; Ge Wang; Guohua Cao

doi:10.1109/isbi.2014.6867810

Real phantom datasets for the evaluation of reconstruction algorithms at various dose conditions

Hao Gong, Chuang Miao, Hengyong Yu, Ge Wang, Guohua Cao

Radiology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

To reduce the radiation dose delivered to patients, a number of novel computed tomography (CT) reconstruction algorithms have been proposed to recover images from the sparsely sampled datasets or the datasets from low dose exposure. However, the performance of these algorithms has not been quantitatively evaluated with realistic CT datasets in an easily reproducible fashion. Here, we present four CT phantom datasets acquired from our bench-top micro-CT system. Such datasets can be used to provide the baseline for comparison among various CT reconstruction algorithms, in terms of noise level, contrast-to-noise ratio (CNR), uniformity, spatial resolution and CT number accuracy.

Original language	English (US)
Title of host publication	2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	65-68
Number of pages	4
ISBN (Electronic)	9781467319591
DOIs	https://doi.org/10.1109/isbi.2014.6867810
State	Published - Jul 29 2014
Event	2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014 - Beijing, China Duration: Apr 29 2014 → May 2 2014

Publication series

Name	2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014

Other

Other	2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
Country/Territory	China
City	Beijing
Period	4/29/14 → 5/2/14

Keywords

Compressive sensing
CT Datasets
CT Phantom
Iterative reconstruction
Low dose

ASJC Scopus subject areas

Biomedical Engineering
Radiology Nuclear Medicine and imaging

Access to Document

10.1109/isbi.2014.6867810

Cite this

Gong, H., Miao, C., Yu, H., Wang, G., & Cao, G. (2014). Real phantom datasets for the evaluation of reconstruction algorithms at various dose conditions. In 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014 (pp. 65-68). Article 6867810 (2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/isbi.2014.6867810

Real phantom datasets for the evaluation of reconstruction algorithms at various dose conditions. / Gong, Hao; Miao, Chuang; Yu, Hengyong et al.
2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 65-68 6867810 (2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Gong, H, Miao, C, Yu, H, Wang, G & Cao, G 2014, Real phantom datasets for the evaluation of reconstruction algorithms at various dose conditions. in 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014., 6867810, 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014, Institute of Electrical and Electronics Engineers Inc., pp. 65-68, 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014, Beijing, China, 4/29/14. https://doi.org/10.1109/isbi.2014.6867810

Gong H, Miao C, Yu H, Wang G, Cao G. Real phantom datasets for the evaluation of reconstruction algorithms at various dose conditions. In 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 65-68. 6867810. (2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014). doi: 10.1109/isbi.2014.6867810

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abstract = "To reduce the radiation dose delivered to patients, a number of novel computed tomography (CT) reconstruction algorithms have been proposed to recover images from the sparsely sampled datasets or the datasets from low dose exposure. However, the performance of these algorithms has not been quantitatively evaluated with realistic CT datasets in an easily reproducible fashion. Here, we present four CT phantom datasets acquired from our bench-top micro-CT system. Such datasets can be used to provide the baseline for comparison among various CT reconstruction algorithms, in terms of noise level, contrast-to-noise ratio (CNR), uniformity, spatial resolution and CT number accuracy.",

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Real phantom datasets for the evaluation of reconstruction algorithms at various dose conditions

Abstract

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Keywords

ASJC Scopus subject areas

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