Title :
A theoretical framework of regional cone-beam tomography
Author_Institution :
Dept. of Electr. & Comput. Eng., Cincinnati Univ., OH, USA
fDate :
9/1/1992 12:00:00 AM
Abstract :
Intuitively, if only part of an object is to be reconstructed, the information required to perform the reconstruction should be less than that required to perform global reconstruction (global reconstruction is assumed by every published reconstruction formula with closed format). The reduction of input information could lead to the simplification of data collection and the reduction of implementation cost. The author has explored three basic issues of regional cone-beam tomography: (1) a completeness condition for regional reconstruction, (2) an estimation formula, and (3) a convergence condition. The analysis of the first issue yields requirements for artifact-free reconstruction and a convenient criterion for source curve design. The closed format of the estimation formula developed permits efficient analysis. The discussion of the third issue facilitates guidelines for selecting an appropriate interpolation technique for discrete input data
Keywords :
computerised tomography; image reconstruction; completeness condition; convergence condition; data collection simplification; discrete input data; estimation formula; global reconstruction; implementation cost reduction; interpolation technique; medical diagnostic imaging; regional cone-beam tomography; regional reconstruction; source curve design; tomography theoretical framework; Convergence; Convolution; Costs; Geometry; Guidelines; Image reconstruction; Interpolation; Neoplasms; Reconstruction algorithms; Tomography;
Journal_Title :
Medical Imaging, IEEE Transactions on
