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Handling of Long Objects in Iterative Reconstruction from Helical Cone-Beam Projections
Linköping University, The Institute of Technology. Linköping University, Department of Electrical Engineering, Computer Vision.ORCID iD: 0000-0002-9072-2204
Linköping University, The Institute of Technology. Linköping University, Department of Electrical Engineering, Computer Vision.
Linköping University, The Institute of Technology. Linköping University, Department of Electrical Engineering, Computer Vision.
2005 (English)In: Fully 3D 2005, Eighth International Meeting on Fully Three-dimensional Image Reconstruction in Radiology and Nuclear Medicine,2005, 2005Conference paper, Published paper (Refereed)
Abstract [en]

Contemporary analytical reconstruction methods for helical cone-beam CT have to be designed to handle the Long Object Problem. Normally, a moderate amount of over-scanning is sufficient for reconstruction of a certain Region-of-interest (ROI). Unfortunately, for iterative methods, it seems that the useful ROI will diminish for every iteration step. The remedies proposed here are twofold. Firstly, we use careful extrapolation and masking of projection data. Secondly, we generate and utilize projection data from incompletely reconstructed volume parts, which is rather counter-intuitive and contradictory to our initial assumptions. The results seem very encouraging. Even voxels close to the boundary in the original ROI are as well enhanced by the iterative loop as the middle part.

Place, publisher, year, edition, pages
2005.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-42661Local ID: 67760OAI: oai:DiVA.org:liu-42661DiVA: diva2:263518
Available from: 2009-10-10 Created: 2009-10-10 Last updated: 2015-03-17

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http://www.cvl.isy.liu.se/ScOut/Publications/Papers/PaperLongObject3D05.pdf

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Magnusson, MariaDanielsson, Per-ErikSunnegårdh, Johan

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