Please use this identifier to cite or link to this item: http://103.99.128.19:8080/xmlui/handle/123456789/141
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dc.contributor.authorAtsumi Ubukata Jing Zhu Yhisin Ho Norio Tagawa-
dc.date.accessioned2018-10-03T15:47:04Z-
dc.date.available2018-10-03T15:47:04Z-
dc.date.issued2017-11-12-
dc.identifier.urihttp://103.99.128.10:8080/xmlui/handle/123456789/141-
dc.description.abstractIn 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.isoenen_US
dc.relation.ispartofseries874;-
dc.titleEmpirical Bayes Estimation of Tissue Scatterer Distribution from Ultrasonic Echoen_US
dc.title.alternative6th International Conference on Informatics, Electronics & Vision (ICIEV) & 7th International Symposium in Computational Medical and Health Technology (ISCMHT)en_US
dc.typeArticleen_US
Appears in Collections:proceedings in CSE

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