تقرير
A constrained, total-variation minimization algorithm for low-intensity X-ray CT
| العنوان: | A constrained, total-variation minimization algorithm for low-intensity X-ray CT |
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| المؤلفون: | Sidky, Emil Y., Duchin, Yuval, Ullberg, Christer, Pan, Xiaochuan |
| سنة النشر: | 2010 |
| المجموعة: | Physics (Other) |
| مصطلحات موضوعية: | Physics - Medical Physics |
| الوصف: | Purpose: We develop an iterative image-reconstruction algorithm for application to low-intensity computed tomography (CT) projection data, which is based on constrained, total-variation (TV) minimization. The algorithm design focuses on recovering structure on length scales comparable to a detector-bin width. Method: Recovering the resolution on the scale of a detector bin, requires that pixel size be much smaller than the bin width. The resulting image array contains many more pixels than data, and this undersampling is overcome with a combination of Fourier upsampling of each projection and the use of constrained, TV-minimization, as suggested by compressive sensing. The presented pseudo-code for solving constrained, TV-minimization is designed to yield an accurate solution to this optimization problem within 100 iterations. Results: The proposed image-reconstruction algorithm is applied to a low-intensity scan of a rabbit with a thin wire, to test resolution. The proposed algorithm is compared with filtered back-projection (FBP). Conclusion: The algorithm may have some advantage over FBP in that the resulting noise-level is lowered at equivalent contrast levels of the wire. Comment: This article has been submitted to "Medical Physics" on 9/13/2010 |
| نوع الوثيقة: | Working Paper |
| DOI: | 10.1118/1.3560887 |
| URL الوصول: | http://arxiv.org/abs/1011.4630 |
| رقم الأكسشن: | edsarx.1011.4630 |
| قاعدة البيانات: | arXiv |
| DOI: | 10.1118/1.3560887 |
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