Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Saowapak Sotthivirat"'
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2008
CT reconstruction from metal-embedded data usually produces streak artifacts that reduce the quality of the reconstructed images. In this paper, we propose a new technique for metal artifact reduction in cone-beam CT based on statistical reconstructi
Publikováno v:
2008 5th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology.
In general, image reconstruction from metal-embedded data causes streak artifacts that reduce the quality of the reconstructed image. In this paper, the attempt has been conducted to solve the problem of metal artifacts in cone-beam X-ray CT. The pro
Publikováno v:
2006 IEEE Biomedical Circuits and Systems Conference.
Identification of the inferior alveolar nerve in the mandible is extremely important in dental implantology. With computed tomography (CT), a series of panoramic images can be generated by reformatting the three-dimensional axial data so that the alv
Publikováno v:
2006 International Symposium on Communications and Information Technologies.
Due to low radiation dose, cone-beam computed tomography is growing in importance. In image reconstruction, a stack of cross-sectional images can be reconstructed from a series of X-ray radiographs, served as projections. The presence of metals in th
Publikováno v:
2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.
Quantitative analysis of myocardial perfusion requires detection of myocardial boundaries in many short-axis MR images. Manual tracing of myocardial boundaries is a time-consuming and tedious task, which may limit the clinical use of quantitative ana
Publikováno v:
Journal of the Optical Society of America A. 21:737
Conventional numerical reconstruction for digital holography using a filter applied in the spatial-frequency domain to extract the primary image may yield suboptimal image quality because of the loss in high-frequency components and interference from
Publikováno v:
Journal of the Optical Society of America A. 20:439
The expectation-maximization (EM) algorithm for maximum-likelihood image recovery is guaranteed to converge, but it converges slowly. Its ordered-subset version (OS-EM) is used widely in tomographic image reconstruction because of its order-of-magnit