Biopsy Needle Segmentation using Deep Networks on inhomogeneous Ultrasound Images

dc.cclicenceCC-BY-NCen
dc.contributor.authorZhao, Yue
dc.contributor.authorLu, Yi
dc.contributor.authorLu, Xin
dc.contributor.authorJing, J.
dc.contributor.authorTao, L.
dc.contributor.authorChen, X.
dc.date.acceptance2022-04-08
dc.date.accessioned2022-05-17T12:02:02Z
dc.date.available2022-05-17T12:02:02Z
dc.date.issued2022-07-11
dc.description.abstractIn minimally invasive interventional surgery, ultrasound imaging is usually used to provide real-time feedback in order to obtain the best diagnostic results or realize treatment plans, so how to accurately obtain the position of the medical biopsy needle is a problem worthy of study. 2D ultrasound simulation images containing the medical biopsy needle are generated, and our images background is from the real breast ultrasound image. Based on the deep learning network, the images containing the medical biopsy needle are used to analyze the effectiveness of different networks for needle localization for the purpose of returning needle positions in non-uniform ultrasound images. The results show that attention U-Net performed best and can accurately reflect the real position of the medical biopsy needle. The IoU and Precision can reach 90.19% and 96.25%, and the Angular Error is 0.40°.en
dc.funderOther external funder (please detail below)en
dc.funder.otherNatural Science Foundation of China (62173116)en
dc.funder.otherPostdoctoral Research Funds of Heilongjiang Province (Grant No. LBH-TZ13 and No. LBH-Z15068)en
dc.funder.otherPostdoctoral initial funding of Heilongjiang Province (No. LBH-Q21097)en
dc.funder.otheregree & Postgraduate Education Reform Project of Harbin Institute of Technology (No. 21MS002)en
dc.identifier.citationZhao, Y., Lu, Y., Lu, X., Jing, J., Tao, L., Chen, X. (2022) Biopsy Needle Segmentation using Deep Networks on inhomogeneous Ultrasound Images. 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC 2022), Glasgow, July 2022.en
dc.identifier.doihttps://doi.org/10.1109/embc48229.2022.9871059
dc.identifier.urihttps://hdl.handle.net/2086/21889
dc.language.isoenen
dc.peerreviewedYesen
dc.projectid62173116)en
dc.projectidGrant No. LBH-TZ13 and No. LBH-Z15068en
dc.projectidNo. LBH-Q21097en
dc.projectidNo. 21MS002en
dc.researchinstituteInstitute of Artificial Intelligence (IAI)en
dc.subjectdeep networken
dc.subject2D ultrasound imagesen
dc.subjectbiopsy needleen
dc.titleBiopsy Needle Segmentation using Deep Networks on inhomogeneous Ultrasound Imagesen
dc.typeConferenceen

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