Proof of concept of near real-time intra-fractional 3D monitoring of prostate position using a scheme based on the skeletonization of implanted marker images and recursive least squares approximation motion tracking.

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Title: Proof of concept of near real-time intra-fractional 3D monitoring of prostate position using a scheme based on the skeletonization of implanted marker images and recursive least squares approximation motion tracking.
Authors: Kuo HC; Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, United States. Electronic address: kuoh@mskcc.org., Della Biancia C; Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, United States., Damato AL; Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, United States., Happersett L; Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, United States., Lim SB; Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, United States., Cerviño LI; Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, United States., Berry SL; Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, United States.
Source: Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) [Phys Med] 2025 Jul; Vol. 135, pp. 105009. Date of Electronic Publication: 2025 May 29.
Publication Type: Journal Article
Journal Info: Publisher: Istituti Editoriali e Poligrafici Internazionali Country of Publication: Italy NLM ID: 9302888 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1724-191X (Electronic) Linking ISSN: 11201797 NLM ISO Abbreviation: Phys Med Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Proof of concept of near real-time intra-fractional 3D monitoring of prostate position using a scheme based on the skeletonization of implanted marker images and recursive least squares approximation motion tracking.
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  Data: <searchLink fieldCode="AU" term="%22Kuo+HC%22">Kuo HC</searchLink>; Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, United States. Electronic address: kuoh@mskcc.org.<br /><searchLink fieldCode="AU" term="%22Della+Biancia+C%22">Della Biancia C</searchLink>; Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, United States.<br /><searchLink fieldCode="AU" term="%22Damato+AL%22">Damato AL</searchLink>; Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, United States.<br /><searchLink fieldCode="AU" term="%22Happersett+L%22">Happersett L</searchLink>; Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, United States.<br /><searchLink fieldCode="AU" term="%22Lim+SB%22">Lim SB</searchLink>; Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, United States.<br /><searchLink fieldCode="AU" term="%22Cerviño+LI%22">Cerviño LI</searchLink>; Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, United States.<br /><searchLink fieldCode="AU" term="%22Berry+SL%22">Berry SL</searchLink>; Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, United States.
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  Data: <searchLink fieldCode="JN" term="%229302888%22">Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)</searchLink> [Phys Med] 2025 Jul; Vol. 135, pp. 105009. <i>Date of Electronic Publication: </i>2025 May 29.
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        Value: 10.1016/j.ejmp.2025.105009
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              Text: 2025 Jul
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