A preliminary investigation of ROI-image reconstruction with the rebinned BPF algorithm

Junguo Bian, Dan Xia, Lifeng Yu, Emil Y. Sidky, Xiaochuan Pan

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

Abstract

The back-projection filtration (BPF)algorithm is capable of reconstructing ROI images from truncated data acquired with a wide class of general trajectories. However, it has been observed that, similar to other algorithms for convergent beam geometries, the BPF algorithm involves a spatially varying weighting factor in the backprojection step. This weighting factor can not only increase the computation load, but also amplify the noise in reconstructed images The weighting factor can be eliminated by appropriately rebinning the measured cone-beam data into fan-parallel-beam data. Such an appropriate data rebinning not only removes the weighting factor, but also retain other favorable properties of the BPF algorithm. In this work, we conduct a preliminary study of the rebinned BPF algorithm and its noise property. Specifically, we consider an application in which the detector and source can move in several directions for achieving ROI data acquisition. The combined motion of the detector and source generally forms a complex trajectory. We investigate in this work image reconstruction within an ROI from data acquired in this kind of applications.

Original languageEnglish (US)
Title of host publicationProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume6913
DOIs
StatePublished - 2008
EventMedical Imaging 2008 - Physics of Medical Imaging - San Diego, CA, United States
Duration: Feb 18 2008Feb 21 2008

Other

OtherMedical Imaging 2008 - Physics of Medical Imaging
CountryUnited States
CitySan Diego, CA
Period2/18/082/21/08

Fingerprint

Image reconstruction
Trajectories
Detectors
Fans
Cones
Data acquisition
Geometry

Keywords

  • Back-Projection filtration algorithm
  • Rebinning
  • Roi image reconstruction

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Bian, J., Xia, D., Yu, L., Sidky, E. Y., & Pan, X. (2008). A preliminary investigation of ROI-image reconstruction with the rebinned BPF algorithm. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE (Vol. 6913). [69132I] https://doi.org/10.1117/12.772096

A preliminary investigation of ROI-image reconstruction with the rebinned BPF algorithm. / Bian, Junguo; Xia, Dan; Yu, Lifeng; Sidky, Emil Y.; Pan, Xiaochuan.

Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 6913 2008. 69132I.

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

Bian, J, Xia, D, Yu, L, Sidky, EY & Pan, X 2008, A preliminary investigation of ROI-image reconstruction with the rebinned BPF algorithm. in Progress in Biomedical Optics and Imaging - Proceedings of SPIE. vol. 6913, 69132I, Medical Imaging 2008 - Physics of Medical Imaging, San Diego, CA, United States, 2/18/08. https://doi.org/10.1117/12.772096
Bian J, Xia D, Yu L, Sidky EY, Pan X. A preliminary investigation of ROI-image reconstruction with the rebinned BPF algorithm. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 6913. 2008. 69132I https://doi.org/10.1117/12.772096
Bian, Junguo ; Xia, Dan ; Yu, Lifeng ; Sidky, Emil Y. ; Pan, Xiaochuan. / A preliminary investigation of ROI-image reconstruction with the rebinned BPF algorithm. Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 6913 2008.
@inproceedings{4356d2f2477b4f16b97d2fb23c864186,
title = "A preliminary investigation of ROI-image reconstruction with the rebinned BPF algorithm",
abstract = "The back-projection filtration (BPF)algorithm is capable of reconstructing ROI images from truncated data acquired with a wide class of general trajectories. However, it has been observed that, similar to other algorithms for convergent beam geometries, the BPF algorithm involves a spatially varying weighting factor in the backprojection step. This weighting factor can not only increase the computation load, but also amplify the noise in reconstructed images The weighting factor can be eliminated by appropriately rebinning the measured cone-beam data into fan-parallel-beam data. Such an appropriate data rebinning not only removes the weighting factor, but also retain other favorable properties of the BPF algorithm. In this work, we conduct a preliminary study of the rebinned BPF algorithm and its noise property. Specifically, we consider an application in which the detector and source can move in several directions for achieving ROI data acquisition. The combined motion of the detector and source generally forms a complex trajectory. We investigate in this work image reconstruction within an ROI from data acquired in this kind of applications.",
keywords = "Back-Projection filtration algorithm, Rebinning, Roi image reconstruction",
author = "Junguo Bian and Dan Xia and Lifeng Yu and Sidky, {Emil Y.} and Xiaochuan Pan",
year = "2008",
doi = "10.1117/12.772096",
language = "English (US)",
isbn = "9780819470973",
volume = "6913",
booktitle = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",

}

TY - GEN

T1 - A preliminary investigation of ROI-image reconstruction with the rebinned BPF algorithm

AU - Bian, Junguo

AU - Xia, Dan

AU - Yu, Lifeng

AU - Sidky, Emil Y.

AU - Pan, Xiaochuan

PY - 2008

Y1 - 2008

N2 - The back-projection filtration (BPF)algorithm is capable of reconstructing ROI images from truncated data acquired with a wide class of general trajectories. However, it has been observed that, similar to other algorithms for convergent beam geometries, the BPF algorithm involves a spatially varying weighting factor in the backprojection step. This weighting factor can not only increase the computation load, but also amplify the noise in reconstructed images The weighting factor can be eliminated by appropriately rebinning the measured cone-beam data into fan-parallel-beam data. Such an appropriate data rebinning not only removes the weighting factor, but also retain other favorable properties of the BPF algorithm. In this work, we conduct a preliminary study of the rebinned BPF algorithm and its noise property. Specifically, we consider an application in which the detector and source can move in several directions for achieving ROI data acquisition. The combined motion of the detector and source generally forms a complex trajectory. We investigate in this work image reconstruction within an ROI from data acquired in this kind of applications.

AB - The back-projection filtration (BPF)algorithm is capable of reconstructing ROI images from truncated data acquired with a wide class of general trajectories. However, it has been observed that, similar to other algorithms for convergent beam geometries, the BPF algorithm involves a spatially varying weighting factor in the backprojection step. This weighting factor can not only increase the computation load, but also amplify the noise in reconstructed images The weighting factor can be eliminated by appropriately rebinning the measured cone-beam data into fan-parallel-beam data. Such an appropriate data rebinning not only removes the weighting factor, but also retain other favorable properties of the BPF algorithm. In this work, we conduct a preliminary study of the rebinned BPF algorithm and its noise property. Specifically, we consider an application in which the detector and source can move in several directions for achieving ROI data acquisition. The combined motion of the detector and source generally forms a complex trajectory. We investigate in this work image reconstruction within an ROI from data acquired in this kind of applications.

KW - Back-Projection filtration algorithm

KW - Rebinning

KW - Roi image reconstruction

UR - http://www.scopus.com/inward/record.url?scp=43149119515&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=43149119515&partnerID=8YFLogxK

U2 - 10.1117/12.772096

DO - 10.1117/12.772096

M3 - Conference contribution

AN - SCOPUS:43149119515

SN - 9780819470973

VL - 6913

BT - Progress in Biomedical Optics and Imaging - Proceedings of SPIE

ER -