Region Of Interest X-Ray Computed Tomography Via Corrected Back Projection

We present a new method for region of interest (ROI) reconstruction from high-resolution, nontruncated data in parallel-ray X-ray computed tomography (CT). Many of the approaches to ROI CT reconstruction in the literature rely on a costly forward projection step to form an ROI-only sinogram. Our approach instead relies on a digital filtering implementation of the normal operator ((HH)-H-T) to compute a back projected version of the ROI-only sinogram that can be used directly for reconstruction, thus eliminating the forward projection step altogether. Results on three synthetic datasets with a variety of experimental conditions show that the method provides accuracy on par with a full reconstruction at a fraction of the time and memory cost.


Published in:
2018 Ieee 15Th International Symposium On Biomedical Imaging (Isbi 2018), 65-69
Presented at:
15th IEEE International Symposium on Biomedical Imaging (ISBI), Washington, DC, Apr 04-07, 2018
Year:
Jan 01 2018
Publisher:
New York, IEEE
ISSN:
1945-7928
ISBN:
978-1-5386-3636-7
Keywords:
Laboratories:




 Record created 2019-01-25, last modified 2019-08-27


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