Region-of-interest image reconstruction in circular cone-beam microCT

Medical Physics
Seungryong ChoXiaochuan Pan

Abstract

Cone-beam microcomputed tomography (microCT) is one of the most popular choices for small animal imaging which is becoming an important tool for studying animal models with transplanted diseases. Region-of-interest (ROI) imaging techniques in CT, which can reconstruct an ROI image from the projection data set of the ROI, can be used not only for reducing imaging-radiation exposure to the subject and scatters to the detector but also for potentially increasing spatial resolution of the reconstructed images. Increasing spatial resolution in microCT images can facilitate improved accuracy in many assessment tasks. A method proposed previously for increasing CT image spatial resolution entails the exploitation of the geometric magnification in cone-beam CT. Due to finite detector size, however, this method can lead to data truncation for a large geometric magnification. The Feldkamp-Davis-Kress (FDK) algorithm yields images with artifacts when truncated data are used, whereas the recently developed backprojection filtration (BPF) algorithm is capable of reconstructing ROI images without truncation artifacts from truncated cone-beam data. We apply the BPF algorithm to reconstructing ROI images from truncated data of three different ...Continue Reading

References

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Citations

Oct 1, 2009·Imaging in Medicine·Lifeng YuCynthia H McCollough
Mar 17, 2010·Medical Physics·Sebastian SchaferKenneth R Hoffmann
Oct 9, 2009·Medical Physics·Lingyun ChenChris C Shaw
Nov 4, 2008·Medical Physics·V PatelS Rudin
Oct 14, 2011·Medical Physics·Taly Gilat Schmidt, Fatih Pektas
Dec 8, 2015·Nuclear Instruments & Methods in Physics Research. Section A, Accelerators, Spectrometers, Detectors and Associated Equipment·Muhammad U GhaniHong Liu
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Dec 15, 2015·AJNR. American Journal of Neuroradiology·G ChintalapaniM E Mawad
Jun 4, 2016·Journal of X-ray Science and Technology·Erik PearsonCharles Pelizzari

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