3D printed phantom with 12 000 submillimeter lesions to improve efficiency in CT detectability assessment.
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| Title: | 3D printed phantom with 12 000 submillimeter lesions to improve efficiency in CT detectability assessment. |
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| Authors: | Shunhavanich P; Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.; Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA., Mei K; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA., Shapira N; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA., Stayman JW; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, USA., McCollough CH; Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA., Gang G; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA., Leng S; Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA., Geagan M; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA., Yu L; Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA., Noël PB; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA., Hsieh SS; Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA. |
| Source: | Medical physics [Med Phys] 2024 May; Vol. 51 (5), pp. 3265-3274. Date of Electronic Publication: 2024 Apr 08. |
| 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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| ISSN: | 2473-4209 |
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| DOI: | 10.1002/mp.17064 |
