Optimization of the differentiation and quantification of high-Z nanoparticles incorporated in medical devices for CT-guided interventions.

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Bibliographic Details
Title: Optimization of the differentiation and quantification of high-Z nanoparticles incorporated in medical devices for CT-guided interventions.
Authors: Perez JVD; Department of Interventional Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.; College of Medicine, University of the Philippines Manila, Manila, Philippines., Jacobsen MC; Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Damasco JA; Department of Interventional Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Melancon A; Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Huang SY; Department of Interventional Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Layman RR; Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Melancon MP; Department of Interventional Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.; UTHealth Graduate School of Biomedical Sciences, Houston, TX, USA.
Source: Medical physics [Med Phys] 2021 Jan; Vol. 48 (1), pp. 300-312. Date of Electronic Publication: 2020 Dec 03.
Publication Type: Journal Article
Journal Info: Publisher: John Wiley and Sons, Inc Country of Publication: United States NLM ID: 0425746 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2473-4209 (Electronic) Linking ISSN: 00942405 NLM ISO Abbreviation: Med Phys Subsets: MEDLINE
Database: MEDLINE Ultimate
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Description
ISSN:2473-4209
DOI:10.1002/mp.14601