ROI reconstruction of motion contaminated data with a backprojection filtration algorithm

Martin King, Lifeng Yu, Dan Xia, Xiaochuan Pan, Maryellen Giger

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In order to evaluate the potential of using the backprojection filtration (BPF) algorithm for reconstructing images from motion-contaminated data, simulation studies were conducted with three virtual phantoms. The first was a uniform elliptical phantom, which underwent rotational motion during half of its temporal cycle. The second was a normal-sized modified FORBILD phantom with a dynamic insert undergoing contractile motion during 65% of its temporal cycle. This phantom was expanded to form a third phantom, whose portions extended beyond the field-of-view (FOV). For the elliptical phantom, the BPF algorithm was able to obtain an exact reconstruction of a region-of-interest (ROI) covering a portion of the ellipse, whereas the fanbeam filtered backprojection (FFBP) algorithm could not. For the normal-sized phantom, nine full-scan data sets were acquired with percents of motion-contaminated data PMCDs ranging from 17.5% to 100%. For each data set, the mean absolute difference MAD, root mean square error RMS, and correlation CORE metrics were used to assess the differences between a defined ROI reconstructed from motion-contaminated data from the same ROI reconstructed from motion-free data. The BPF algorithm using a reduced-scan interval was able to produce better MAD, RMS, and CORR metrics than both FFBP and BPF algorithms using the same short-scan interval over all PMCDs. For the expanded phantom, the presence of truncations in the data sets did not affect the overall trends of the three metrics in BPF reconstructions of eight data sets with PMCDs ranging from 15% to 100%.

Original languageEnglish (US)
Title of host publicationIEEE Nuclear Science Symposium Conference Record
Pages2264-2268
Number of pages5
Volume4
DOIs
StatePublished - 2005
Externally publishedYes
EventNuclear Science Symposium Conference Record, 2005 IEEE - , Puerto Rico
Duration: Oct 23 2005Oct 29 2005

Other

OtherNuclear Science Symposium Conference Record, 2005 IEEE
CountryPuerto Rico
Period10/23/0510/29/05

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Mean square error

Keywords

  • BPF
  • CT
  • Motion artifact
  • ROI reconstruction

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Industrial and Manufacturing Engineering

Cite this

King, M., Yu, L., Xia, D., Pan, X., & Giger, M. (2005). ROI reconstruction of motion contaminated data with a backprojection filtration algorithm. In IEEE Nuclear Science Symposium Conference Record (Vol. 4, pp. 2264-2268). [1596786] https://doi.org/10.1109/NSSMIC.2005.1596786

ROI reconstruction of motion contaminated data with a backprojection filtration algorithm. / King, Martin; Yu, Lifeng; Xia, Dan; Pan, Xiaochuan; Giger, Maryellen.

IEEE Nuclear Science Symposium Conference Record. Vol. 4 2005. p. 2264-2268 1596786.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

King, M, Yu, L, Xia, D, Pan, X & Giger, M 2005, ROI reconstruction of motion contaminated data with a backprojection filtration algorithm. in IEEE Nuclear Science Symposium Conference Record. vol. 4, 1596786, pp. 2264-2268, Nuclear Science Symposium Conference Record, 2005 IEEE, Puerto Rico, 10/23/05. https://doi.org/10.1109/NSSMIC.2005.1596786
King M, Yu L, Xia D, Pan X, Giger M. ROI reconstruction of motion contaminated data with a backprojection filtration algorithm. In IEEE Nuclear Science Symposium Conference Record. Vol. 4. 2005. p. 2264-2268. 1596786 https://doi.org/10.1109/NSSMIC.2005.1596786
King, Martin ; Yu, Lifeng ; Xia, Dan ; Pan, Xiaochuan ; Giger, Maryellen. / ROI reconstruction of motion contaminated data with a backprojection filtration algorithm. IEEE Nuclear Science Symposium Conference Record. Vol. 4 2005. pp. 2264-2268
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