The iterative optimizing quantization technique (IOQT) of the imaging source to use in a tomographic microscope has is a novel method in reconstructing three-dimensional (3D) images strongly depended on the nature of the interaction of the source from a limited number of 2D projections. IOQT can red
A concentration index for analyzing three-dimensional line patterns and its application to X-ray CT images
โ Scribed by Yoshito Mekada; Yasushi Hirano; Jun-ichi Hasegawa; Jun-ichiro Toriwaki
- Publisher
- John Wiley and Sons
- Year
- 1998
- Tongue
- English
- Weight
- 383 KB
- Volume
- 81
- Category
- Article
- ISSN
- 1042-0967
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โฆ Synopsis
When interpreting three-dimensional images it is difficult to understand the local concentration of line patterns and hence quantification of the latter is important. In this paper, a concentration index, previously reported to provide an effective characteristic for quantitatively evaluating the local concentration of two-dimensional line patterns, is extended to three dimensions (3D concentration index). The nature and application of this index are described. First, using analysis and theoretical simulation of discrete line patterns, the nature of the 3D concentration index is studied in detail. Then, the 3D concentration index is applied to quantification of the dynamic state of a blood vessel image obtained from a chest X-ray CT image. It is shown that this quantity is effective in the judgment of flux near tumor tissue, a characteristic of a tumor inside the lung.
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