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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hao Gong Chuang Miao Hengyong Yu Ge Wang Guohua Cao |
| Copyright Year | 2014 |
| Description | Author affiliation: Biomed. Eng., Rensselaer Polytech. Inst., Troy, NY, USA (Ge Wang) || Sch. of Biomed. Eng. & Sci., Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA (Hao Gong; Guohua Cao) || Sch. of Biomed. Eng. & Sci., Wake Forest Univ., Wake Forest, NC, USA (Chuang Miao; Hengyong Yu) |
| 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. |
| Starting Page | 65 |
| Ending Page | 68 |
| File Size | 1093798 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781467319614 |
| DOI | 10.1109/ISBI.2014.6867810 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-04-29 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image reconstruction Phantoms Reconstruction algorithms Computed tomography Noise level Detectors Wires Iterative Reconstruction CT Datasets CT Phantom Low Dose Compressive Sensing |
| Content Type | Text |
| Resource Type | Article |
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