Analytical models for multi-slice helical CT performance parameters

One of the most recent technological advancements in computed tomography (CT) is the introduction of multi-slice CT (MSCT). When combined with the helical scan mode, MSCT offers significant improvements in volume coverage, isotropic spatial resolution, and contrast utilization. Although experimental...

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Bibliographic Details
Published in:Medical physics (Lancaster) Vol. 30; no. 2; pp. 169 - 178
Main Author: Hsieh, Jiang
Format: Journal Article
Language:English
Published: United States American Association of Physicists in Medicine 01.02.2003
Subjects:
Acoustic noise measurement
Algorithms
Computed radiography
Computed tomography
Computer Simulation
computerised tomography
convolution
Equipment Failure Analysis - methods
Experiment design
helical CT, slice sensitivity profile
Image analysis
image reconstruction
Imaging, Three-Dimensional - methods
interpolation
Interpolation; curve fitting
Medical image noise
medical image processing
Models, Theoretical
Multislice computed tomography
Multi‐slice computed tomography
noise ratio
Phantoms, Imaging
Physicists
Quality Control
Radiographic Image Enhancement - methods
Reproducibility of Results
Sensitivity and Specificity
Spatial resolution
Tomography, Spiral Computed - instrumentation
Tomography, Spiral Computed - methods
helical CT, slice sensitivity profile
Multi-slice computed tomography
noise ratio
ISSN:0094-2405, 2473-4209
Online Access:Get full text
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Summary:One of the most recent technological advancements in computed tomography (CT) is the introduction of multi-slice CT (MSCT). When combined with the helical scan mode, MSCT offers significant improvements in volume coverage, isotropic spatial resolution, and contrast utilization. Although experimental studies have been conducted on MSCT performance, there is a lack of theoretical analysis on the slice sensitivity profile (SSP) and noise performance. In this paper, we derive several closed-form expressions, for linear interpolation based helical reconstruction algorithms, to characterize these performance parameters under different detector configurations and acquisition modes. Following the common practice, the expressions are explicitly described for regions near the iso-center, although the same approach can be used to describe system performances away from the iso-center. These models are validated against phantom experiments.
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ISSN:0094-2405
2473-4209
DOI:10.1118/1.1533750