Distributed Vector Processing of A New Local Multiscale: Fourier Transform for Medical Imaging Applications
| dc.contributor.author | Brown, Robert | |
| dc.contributor.author | Zhu, Hongmei | |
| dc.contributor.author | Mitchell, Joseph | |
| dc.date.accessioned | 2007-03-29T23:24:03Z | |
| dc.date.available | 2007-03-29T23:24:03Z | |
| dc.date.issued | 2005 | |
| dc.description.abstract | The recently developed S-transform (ST) combines features of the Fourier andWavelet transforms; it reveals frequency variation over both space and time. It is a potentially powerful tool that can be applied to medical image processing including texture analysis and noise filtering. However, calculation of the ST is computationally intensive, making conventional implementations too slow for many medical applications. This problem was addressed by combining parallel and vector computations to provide a 25-fold reduction in computation time. This approach could help accelerate many medical image processing algorithms. | |
| dc.identifier.citation | R. A. Brown, Hongmei Zhu and J. R. Mitchell, "Distributed Vector Processing of a New Local MultiScale Fourier Transform for Medical Imaging Applications," in IEEE Transactions on Medical Imaging, vol. 24, no. 5, pp. 689-691, May 2005. doi: 10.1109/TMI.2005.845320 | |
| dc.identifier.issn | 0278-0062 | |
| dc.identifier.uri | http://hdl.handle.net/10315/927 | |
| dc.identifier.uri | https://doi.org/10.1109/TMI.2005.845320 | |
| dc.language.iso | en | |
| dc.publisher | IEEE Transactions on Medical Imaging | |
| dc.subject | Biomedical image processing | |
| dc.subject | discrete Fourier transforms | |
| dc.subject | distributed computing | |
| dc.subject | vector processing | |
| dc.title | Distributed Vector Processing of A New Local Multiscale: Fourier Transform for Medical Imaging Applications | |
| dc.type | Article |