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DC Field | Value | Language |
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dc.contributor.author | Atsumi Ubukata Jing Zhu Yhisin Ho Norio Tagawa | - |
dc.date.accessioned | 2018-10-03T15:47:04Z | - |
dc.date.available | 2018-10-03T15:47:04Z | - |
dc.date.issued | 2017-11-12 | - |
dc.identifier.uri | http://103.99.128.10:8080/xmlui/handle/123456789/141 | - |
dc.description.abstract | In ultrasonic medical imaging, in addition to the boundaries of organs, blood vessels, etc., speckle patterns generated as interference of echoes from small scatterers in living tissue are often observed. Speckle pattern has information on the tissue properties and can be efficiently used as local position information for measuring tissue motions, for example. On the other hand, these are the main factor for lowering the image resolution. In this study, we aim to improve the resolution of ultrasonic imaging by restoring the scatterer distribution within the tissues from the echo. Statistics calculated from the restored scatterer distribution are expected to contribute to the construction of new indicators for tissue properties diagnosis. | en_US |
dc.language.iso | en | en_US |
dc.relation.ispartofseries | 874; | - |
dc.title | Empirical Bayes Estimation of Tissue Scatterer Distribution from Ultrasonic Echo | en_US |
dc.title.alternative | 6th International Conference on Informatics, Electronics & Vision (ICIEV) & 7th International Symposium in Computational Medical and Health Technology (ISCMHT) | en_US |
dc.type | Article | en_US |
Appears in Collections: | proceedings in CSE |
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