DC Field | Value | Language |
---|---|---|
dc.contributor.author | Oh, Seok-Hwan | ko |
dc.contributor.author | Kim, Myeong-Gee | ko |
dc.contributor.author | Kim, Young-Min | ko |
dc.contributor.author | Jung, Guil | ko |
dc.contributor.author | Kwon, Hyuksool | ko |
dc.contributor.author | Bae, Hyeon-Min | ko |
dc.date.accessioned | 2023-12-04T02:01:15Z | - |
dc.date.available | 2023-12-04T02:01:15Z | - |
dc.date.created | 2023-11-27 | - |
dc.date.issued | 2023-04-18 | - |
dc.identifier.citation | 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI) | - |
dc.identifier.issn | 1945-7928 | - |
dc.identifier.uri | http://hdl.handle.net/10203/315647 | - |
dc.description.abstract | In this paper, a real-time ultrasonic attenuation coefficient imaging system identifying cancerous breast lesions is presented. In real-time quantitative medical imaging, spatio-temporal consistency is an important functional requirement, as the inconsistent frame-to-frame quantitative images can degrade diagnostic accuracy. However, the fidelity of an isolated single frame quantitative image is often degraded by the low signal-to-noise ratio due to the short detection time of the RF signal. In order to overcome such problem, the fact that sequential frame-to-frame images have high spatial correlation is utilized. Consequently, a quantitative imaging network featuring an iterative image refinement scheme is designed to inference the difference between adjacent frames images to enhance the spatio-temporal consistency. The proposed system is evaluated through numerical simulation and in-vivo breast cancer measurements. In the in-vivo study, the proposed system demonstrates statistical significance (p-value < 0.05) in the differential diagnosis of breast cancer while achieving 79% less temporal variation. | - |
dc.language | English | - |
dc.publisher | IEEE | - |
dc.title | Spatio-Temporal Quantitative Ultrasound Imaging for Breast Cancer Identification | - |
dc.type | Conference | - |
dc.identifier.wosid | 001062050500010 | - |
dc.identifier.scopusid | 2-s2.0-85172114623 | - |
dc.type.rims | CONF | - |
dc.citation.publicationname | 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI) | - |
dc.identifier.conferencecountry | CK | - |
dc.identifier.conferencelocation | Cartagena | - |
dc.identifier.doi | 10.1109/isbi53787.2023.10230332 | - |
dc.contributor.localauthor | Bae, Hyeon-Min | - |
dc.contributor.nonIdAuthor | Oh, Seok-Hwan | - |
dc.contributor.nonIdAuthor | Kim, Myeong-Gee | - |
dc.contributor.nonIdAuthor | Kwon, Hyuksool | - |
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