DocumentCode :
1385421
Title :
Multislice helical CT: image temporal resolution
Author :
Hu, Hui ; Pan, Tinsu ; Shen, Yun
Author_Institution :
ImagingTech Inc., Waukesha, WI, USA
Volume :
19
Issue :
5
fYear :
2000
fDate :
5/1/2000 12:00:00 AM
Firstpage :
384
Lastpage :
390
Abstract :
A multislice helical computed tomography (CT) half-scan (HS) reconstruction algorithm is proposed for cardiac applications. The imaging performances (in terms of the temporal resolution, z-axis resolution, image noise, and image artifacts) of the HS algorithm are compared to the existing algorithms using theoretical models and clinical data. A theoretical model of the temporal resolution performance (in terms of the temporal sensitivity profile) is established for helical CT, in general, i.e., for any number of detector rows and any reconstruction algorithm used. It is concluded that the HS reconstruction results in improved image temporal resolution than the corresponding 180° LI (linear interpolation) reconstruction and is more immune to the inconsistent data problem induced by cardiac motions. The temporal resolution of multislice helical CT with the HS algorithm is comparable to that of single-slice helical CT with the HS algorithm. In practice, the 180° LI and HS-LI algorithms can be used in parallel to generate two image sets from the same scan acquisition, one (180° LI) for improved z-resolution and noises, and the other (HS-LI) for improved image temporal resolution.
Keywords :
cardiology; computerised tomography; image reconstruction; image resolution; interpolation; medical image processing; modelling; CT half-scan reconstruction algorithm; cardiac motions; detector rows; image temporal resolution; inconsistent data problem; linear interpolation; medical diagnostic imaging; multislice helical CT; scan acquisition; temporal sensitivity profile; theoretical model; Computed tomography; Detectors; Image generation; Image reconstruction; Image resolution; Interpolation; Lungs; Noise generators; Reconstruction algorithms; Sensor arrays; Algorithms; Aortography; Heart; Humans; Image Processing, Computer-Assisted; Models, Theoretical; Myocardial Contraction; Sensitivity and Specificity; Tomography, X-Ray Computed;
fLanguage :
English
Journal_Title :
Medical Imaging, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0062
Type :
jour
DOI :
10.1109/42.870249
Filename :
870249
Link To Document :
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