Abstract
The use of a C-arm radiographic system for 3D reconstruction of opacified vasculature presents several computational and engineering challenges. Factors that may lead to inconsistency at the projection data set and subsequent reconstruction errors include image noise, variations in vessel opacification during the acquisition, and inaccurate determination of the imaging geometry. We have utilized simulations to study the effect of these factors on 3D reconstruction with algebraic reconstruction technique (ART) in order to identify possible artifacts and loss of image quality in the 3D image. Corrective measures designed to counter artifacts such as smoothing, averaging, and use of constraints with ART have been developed and validated. These studies have made it possible to identify the causes of artifacts in preliminary in vivo applications, and to estimate the tolerance for imperfections in data acquisition. Moreover, these works have established modifications to the reconstruction procedure for reducing image artifacts and improving image quality.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings of SPIE - The International Society for Optical Engineering |
| Pages | 226-237 |
| Number of pages | 12 |
| Volume | 3032 |
| DOIs | |
| State | Published - 1997 |
| Externally published | Yes |
| Event | Medical Imaging 1997: Physics of Medical Imaging - Newport Beach, CA, United States Duration: Feb 23 1997 → Feb 23 1997 |
Other
| Other | Medical Imaging 1997: Physics of Medical Imaging |
|---|---|
| Country | United States |
| City | Newport Beach, CA |
| Period | 2/23/97 → 2/23/97 |
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Keywords
- 3D reconstruction
- ART
- Artifacts
- Carotid
- Cerebral aneurysm
- Image quality
- X-ray angiography
ASJC Scopus subject areas
- Applied Mathematics
- Computer Science Applications
- Electrical and Electronic Engineering
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
Cite this
3D x-ray angiography : Study of factors affecting projection data consistency. / Hsiung, Hsiang Hsin; Sen, Anindya; Schueler, Beth A.; Hu, Xiaoping; Latchaw, Richard E.
Proceedings of SPIE - The International Society for Optical Engineering. Vol. 3032 1997. p. 226-237.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - 3D x-ray angiography
T2 - Study of factors affecting projection data consistency
AU - Hsiung, Hsiang Hsin
AU - Sen, Anindya
AU - Schueler, Beth A.
AU - Hu, Xiaoping
AU - Latchaw, Richard E
PY - 1997
Y1 - 1997
N2 - The use of a C-arm radiographic system for 3D reconstruction of opacified vasculature presents several computational and engineering challenges. Factors that may lead to inconsistency at the projection data set and subsequent reconstruction errors include image noise, variations in vessel opacification during the acquisition, and inaccurate determination of the imaging geometry. We have utilized simulations to study the effect of these factors on 3D reconstruction with algebraic reconstruction technique (ART) in order to identify possible artifacts and loss of image quality in the 3D image. Corrective measures designed to counter artifacts such as smoothing, averaging, and use of constraints with ART have been developed and validated. These studies have made it possible to identify the causes of artifacts in preliminary in vivo applications, and to estimate the tolerance for imperfections in data acquisition. Moreover, these works have established modifications to the reconstruction procedure for reducing image artifacts and improving image quality.
AB - The use of a C-arm radiographic system for 3D reconstruction of opacified vasculature presents several computational and engineering challenges. Factors that may lead to inconsistency at the projection data set and subsequent reconstruction errors include image noise, variations in vessel opacification during the acquisition, and inaccurate determination of the imaging geometry. We have utilized simulations to study the effect of these factors on 3D reconstruction with algebraic reconstruction technique (ART) in order to identify possible artifacts and loss of image quality in the 3D image. Corrective measures designed to counter artifacts such as smoothing, averaging, and use of constraints with ART have been developed and validated. These studies have made it possible to identify the causes of artifacts in preliminary in vivo applications, and to estimate the tolerance for imperfections in data acquisition. Moreover, these works have established modifications to the reconstruction procedure for reducing image artifacts and improving image quality.
KW - 3D reconstruction
KW - ART
KW - Artifacts
KW - Carotid
KW - Cerebral aneurysm
KW - Image quality
KW - X-ray angiography
UR - http://www.scopus.com/inward/record.url?scp=58749101021&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=58749101021&partnerID=8YFLogxK
U2 - 10.1117/12.273988
DO - 10.1117/12.273988
M3 - Conference contribution
VL - 3032
SP - 226
EP - 237
BT - Proceedings of SPIE - The International Society for Optical Engineering
ER -