This Is AuburnAUrora

Show simple item record

Estimating the Center of Rotation of Tomographic Imaging Systems with Limited Projections

Metadata FieldValueLanguage
dc.creatorZhou, Huanyi
dc.creatorReeves, Stanley J.
dc.creatorPanizzi, Peter R.
dc.description.abstractFor a tomographic imaging system, image reconstruction quality is highly correlated with accurate determination of the true center of rotation (COR) location. A significant center offset error will introduce ringing, streaking, or other artifacts into the reconstruction, while smaller COR error will cause blurring of the image. Well known COR correction techniques including image registration, center of mass calculation, or reconstruction evaluation work well under certain conditions. However, some conditions, e.g. parallel projections or no tilt in the sensor plane, are often violated in practical situations. Furthermore, limited projections will introduce extra stripe artifacts into the reconstruction that reduce the effectiveness of many COR correction techniques that are sensitive to noise. In this paper, we propose a revised variance-based algorithm to find the correct COR position automatically. The algorithm was tested on phantom and actual cases separately, and the results show improved performance.en_US
dc.relation.ispartofConference of the IEEE Engineering in Medicine and Biology Societyen_US
dc.subjectCT calibrationen_US
dc.subjectImage Reconstruction
dc.subjectTomographic Imagingen_US
dc.titleEstimating the Center of Rotation of Tomographic Imaging Systems with Limited Projectionsen_US
dc.type.genreConference Proceedingen_US

Files in this item

This item appears in the following Collection(s)

Show simple item record