Published April 21, 2005
| Version v1
Journal article
Minimum data image reconstruction algorithms with shift-invariant filtering for helical, cone-beam CT
Creators
- 1. Department of Radiology MC-2026, University of Chicago, 5841 S. Maryland Ave., Chicago, IL 60637 (United States)
Description
We derive accurate and efficient reconstruction algorithms for helical, cone-beam CT that employ shift-invariant filtering. Specifically, a new backprojection-filtration algorithm is developed, and a minimum data filtered-backprojection algorithm is derived. These reconstruction algorithms with shift-invariant filtering can accept data with transverse truncation, and hence allow for minimum data image reconstruction
Availability note (English)
Available online at http://stacks.iop.org/0031-9155/50/1643/pmb5_8_002.pdf or at the Web site for the journal Physics in Medicine and Biology (ISSN 1361-6560) http://www.iop.org/Additional details
Identifiers
- URL
- http://stacks.iop.org/0031-9155/50/1643/pmb5_8_002.pdf; http://www.iop.org/;
- DOI
- 10.1088/0031-9155/50/8/002;
- PII
- S0031-9155(05)89312-1;
Publishing Information
- Journal Title
- Physics in Medicine and Biology
- Journal Volume
- 50
- Journal Issue
- 8
- Journal Page Range
- p. 1643-1657
- ISSN
- 0031-9155
- CODEN
- PHMBA7
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 36099333
- Subject category
- S62: RADIOLOGY AND NUCLEAR MEDICINE;
- Descriptors DEI
- ALGORITHMS; BEAMS; COMPUTERIZED TOMOGRAPHY; FILTRATION; IMAGE PROCESSING
- Descriptors DEC
- DIAGNOSTIC TECHNIQUES; MATHEMATICAL LOGIC; PROCESSING; SEPARATION PROCESSES; TOMOGRAPHY