Quantitative and qualitative evaluation of geometric deconvolution of distortion in limited-view computed tomography

Journal Article · Wed May 01 04:00:00 EDT 1985 · IEEE Trans. Bio-Med. Eng.; (United States)

DOI:https://doi.org/10.1109/TBME.1985.325546· OSTI ID:5277377

Soble, P; Rangayyan, R M; Gordon, R

Images reconstructed using a set of a few projections spanning a narrow angular range suffer from a systematic geometric distortion due to the point spread function of the reconstruction process. This distortion can be removed by deconvolving a complementary set of projections calculated from the initial reconstruction. Homomorphic deconvolution and inverse filtering techniques were used for this purpose. A second reconstruction is computed from the union of both sets of projections. Although the distortion is removed, the results are noisy due to problems associated with inverse filtering. Two-dimensional (2-D) filtering of the second reconstruction is performed to reduce the noise, while preserving the reduction in geometric distortion. Results obtained using several 2-D filters were compared visually and by point noise content, distortion, and projection error measures. Quantitative measures of geometric distortion removal for test images are also described.

• Research Organization: Univ. of Manitoba, Winnipeg
• OSTI ID: 5277377
• Journal Information: IEEE Trans. Bio-Med. Eng.; (United States), Journal Name: IEEE Trans. Bio-Med. Eng.; (United States) Vol. BME-32:5; ISSN IEBEA
• Country of Publication: United States
• Language: English

Related Subjects

550602* -- Medicine-- External Radiation in Diagnostics-- (1980-)
62 RADIOLOGY AND NUCLEAR MEDICINE
ACCURACY
COMPUTERIZED TOMOGRAPHY
DIAGNOSTIC TECHNIQUES
EQUIPMENT
GEOMETRY
IMAGE PROCESSING
IMAGES
MATHEMATICS
PROCESSING
SIGNAL-TO-NOISE RATIO
TOMOGRAPHY
X-RAY EQUIPMENT