DocumentCode :
1517436
Title :
CT reconstruction by using the MLS-ART technique and the KCD imaging system. I. Low-energy X-ray studies
Author :
Guan, Huaiqun ; Gaber, M. Waleed ; DiBianca, Frank A. ; Zhu, Yunping
Author_Institution :
Dept. of Radiat. Oncology, St. Jude Children´´s Res. Hosp., Memphis, TN, USA
Volume :
18
Issue :
4
fYear :
1999
fDate :
4/1/1999 12:00:00 AM
Firstpage :
355
Lastpage :
358
Abstract :
The authors investigated the use of the kinestatic charge detector (KCD) combined with the multilevel scheme algebraic reconstruction technique (MLS-ART) for X-ray computer tomography (CT) reconstruction. The KCD offers excellent detective quantum efficiency and contrast resolution. These characteristics are especially helpful for applications in which a limited number of projections are used. In addition, the MLS-ART algorithm offers better contrast resolution than does the conventional convolution backprojection (CBP) technique when the number of projections is limited. Here, the authors present images of a Rando-head phantom that was reconstructed by using the KCD and MLS-ART. The authors also present, for comparison, the images reconstructed by using the CBP technique. The combination of MLS-ART and the KCD yielded satisfactory images after just one or two iterations.
Keywords :
computerised tomography; image reconstruction; image resolution; iterative methods; medical image processing; CT reconstruction; KCD imaging system; MLS-ART technique; Rando-head phantom; X-ray computer tomography reconstruction; contrast resolution; detective quantum efficiency; kinestatic charge detector; low-energy X-ray studies; medical diagnostic imaging; multilevel scheme algebraic reconstruction technique; Computed tomography; Convolution; Image reconstruction; Imaging phantoms; Optical imaging; Radiation detectors; Spatial resolution; X-ray detection; X-ray detectors; X-ray imaging; Algorithms; Phantoms, Imaging; Tomography, X-Ray Computed;
fLanguage :
English
Journal_Title :
Medical Imaging, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0062
Type :
jour
DOI :
10.1109/42.768844
Filename :
768844
Link To Document :
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