Abstract
We developed an exact algorithm for image reconstruction in helical cone-beam CT based upon the backprojection-filtration (BPF) algorithm. This algorithm has the same backprojection-filtration form while reconstructing images in a rebinning geometry. It first converts the cone-beam data into fan-parallel-beam data, and then backprojects the data derivatives onto the PI-line segments, finally performs a finite inverse Hilbert transform on each Pi-line segment to obtain the reconstruction. It retains the properties of the original BPF algorithm in that it also requires minimum data and can reconstruct ROI images from truncated data. More importantly, due to the elimination of the weighting factor before the backprojection, it improves the computational efficiency and the noise and resolution properties in reconstructed images.
| Original language | English (US) |
|---|---|
| Title of host publication | IEEE Nuclear Science Symposium Conference Record |
| Pages | 2869-2872 |
| Number of pages | 4 |
| Volume | 5 |
| DOIs | |
| State | Published - 2007 |
| Event | 2006 IEEE Nuclear Science Symposium, Medical Imaging Conference and 15th International Workshop on Room-Temperature Semiconductor X- and Gamma-Ray Detectors, Special Focus Workshops, NSS/MIC/RTSD - San Diego, CA, United States Duration: Oct 29 2006 → Nov 4 2006 |
Other
| Other | 2006 IEEE Nuclear Science Symposium, Medical Imaging Conference and 15th International Workshop on Room-Temperature Semiconductor X- and Gamma-Ray Detectors, Special Focus Workshops, NSS/MIC/RTSD |
|---|---|
| Country | United States |
| City | San Diego, CA |
| Period | 10/29/06 → 11/4/06 |
Fingerprint
Keywords
- Backprojection-filtration (BPF)
- Computed tomography (CT)
- Cone-beam projection
- Image reconstruction
- Region of interest (ROI)
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
- Industrial and Manufacturing Engineering
Cite this
A rebinning-type backprojection-filtration algorithm for image reconstruction in helical cone-beam CT. / Yu, Lifeng; Xia, Dan; Zou, Yu; Sidky, Emil; Pan, Xiaoehuan.
IEEE Nuclear Science Symposium Conference Record. Vol. 5 2007. p. 2869-2872 4179632.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - A rebinning-type backprojection-filtration algorithm for image reconstruction in helical cone-beam CT
AU - Yu, Lifeng
AU - Xia, Dan
AU - Zou, Yu
AU - Sidky, Emil
AU - Pan, Xiaoehuan
PY - 2007
Y1 - 2007
N2 - We developed an exact algorithm for image reconstruction in helical cone-beam CT based upon the backprojection-filtration (BPF) algorithm. This algorithm has the same backprojection-filtration form while reconstructing images in a rebinning geometry. It first converts the cone-beam data into fan-parallel-beam data, and then backprojects the data derivatives onto the PI-line segments, finally performs a finite inverse Hilbert transform on each Pi-line segment to obtain the reconstruction. It retains the properties of the original BPF algorithm in that it also requires minimum data and can reconstruct ROI images from truncated data. More importantly, due to the elimination of the weighting factor before the backprojection, it improves the computational efficiency and the noise and resolution properties in reconstructed images.
AB - We developed an exact algorithm for image reconstruction in helical cone-beam CT based upon the backprojection-filtration (BPF) algorithm. This algorithm has the same backprojection-filtration form while reconstructing images in a rebinning geometry. It first converts the cone-beam data into fan-parallel-beam data, and then backprojects the data derivatives onto the PI-line segments, finally performs a finite inverse Hilbert transform on each Pi-line segment to obtain the reconstruction. It retains the properties of the original BPF algorithm in that it also requires minimum data and can reconstruct ROI images from truncated data. More importantly, due to the elimination of the weighting factor before the backprojection, it improves the computational efficiency and the noise and resolution properties in reconstructed images.
KW - Backprojection-filtration (BPF)
KW - Computed tomography (CT)
KW - Cone-beam projection
KW - Image reconstruction
KW - Region of interest (ROI)
UR - http://www.scopus.com/inward/record.url?scp=38549158025&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=38549158025&partnerID=8YFLogxK
U2 - 10.1109/NSSMIC.2006.356475
DO - 10.1109/NSSMIC.2006.356475
M3 - Conference contribution
SN - 1424405610
SN - 9781424405619
VL - 5
SP - 2869
EP - 2872
BT - IEEE Nuclear Science Symposium Conference Record
ER -