Step by step analysis toward optimal MTF algorithm using an edge test device
Comprehensive research focus on the use of an edge test device for accurate determination of the modulation transfer function (MTF) in x-ray imaging has resulted in the development of numerous edge processing algorithms. While the overall results of the relative algorithms have been compared, the in...
Saved in:
| Published in | Journal of X-ray science and technology Vol. 17; no. 1; pp. 1 - 15 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
London, England
SAGE Publications
01.02.2009
|
| Subjects | |
| Online Access | Get full text |
| ISSN | 0895-3996 1095-9114 |
| DOI | 10.3233/XST-2009-021000210 |
Cover
| Summary: | Comprehensive research focus on the use of an edge test device for
accurate determination of the modulation transfer function (MTF) in x-ray
imaging has resulted in the development of numerous edge processing algorithms.
While the overall results of the relative algorithms have been compared, the
individual steps within the algorithms have not previously been evaluated for
similarities and differences that could significantly affect the resultant MTF.
Therefore a step by step investigation to evaluate the alternative methods for
each step separately holds the potential to provide insight into improving the
overall algorithm by optimizing the method employed for each step. Thus this
research study focused on comparing methods applicable for each step comprising
the edge algorithm and providing a step by step guide for implementing the
optimal algorithm based on given experimental conditions. In addition, new
methods and combinations of methods were investigated in several of the
algorithm steps, and were determined to provide comparable, if not superior,
results to the existing methods. This included the use of different numbers of
rows and columns in the region of interest (ROI) for determining the edge
spread function (ESF), implementing a new three-step ESF filtering approach,
and applying a median filter in both the ESF and line spread function (LSF)
smoothing steps. |
|---|---|
| ISSN: | 0895-3996 1095-9114 |
| DOI: | 10.3233/XST-2009-021000210 |