Toward widespread use of virtual trials in medical imaging innovation and regulatory science.

Autor: Abadi E; Center for Virtual Imaging Trials, Carl E. Ravin Advanced Imaging Laboratories, Departments of Radiology and Electrical & Computer Engineering, Medical Physics Graduate Program, Duke University, Durham, North Carolina, USA., Barufaldi B; Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA., Lago M; Division of Imaging, Diagnostics and Software Reliability, OSEL, CDRH, U.S. Food and Drug Administration, Silver Spring, Maryland, USA., Badal A; Division of Imaging, Diagnostics and Software Reliability, OSEL, CDRH, U.S. Food and Drug Administration, Silver Spring, Maryland, USA., Mello-Thoms C; Department of Radiology, University of Iowa, Iowa City, Iowa, USA., Bottenus N; Department of Mechanical Engineering, University of Colorado Boulder, Boulder, Colorado, USA., Wangerin KA; Research and Development, Pharmaceutical Diagnostics, GE HealthCare, Marlborough, Massachusetts, USA., Goldburgh M; NTT DATA Industry Solutions, Plano, Texas, USA., Tarbox L; Department of Biomedical Informatics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA., Beaucage-Gauvreau E; Institute of Physics-based Modeling for in silico Health (iSi Health), KU Leuven, Leuven, Belgium., Frangi AF; Christabel Pankhurst Institute, Division of Informatics, Imaging and Data Sciences, Department of Computer Science, University of Manchester, Manchester, UK.; Alan Turing Institute, British Library, London, UK., Maidment A; Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA., Kinahan PE; Departments of Radiology, Bioengineering, and Physics, University of Washington, Seattle, Washington, USA., Bosmans H; Departments of Radiology and Medical Radiation Physics, KU Leuven, Leuven, Belgium., Samei E; Center for Virtual Imaging Trials, Carl E. Ravin Advanced Imaging Laboratories, Departments of Radiology and Electrical & Computer Engineering, Medical Physics Graduate Program, Duke University, Durham, North Carolina, USA.

Publikováno v: Medical physics [Med Phys] 2024 Oct 06. Date of Electronic Publication: 2024 Oct 06.

A Path to Qualification of PET/MRI Scanners for Multicenter Brain Imaging Studies: Evaluation of MRI-Based Attenuation Correction Methods Using a Patient Phantom.

Autor: Catana C; Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts; ccatana@mgh.harvard.edu., Laforest R; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Missouri., An H; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Missouri., Boada F; Center for Advanced Imaging Innovation and Research, Department of Radiology, New York University Langone Medical Center, New York, New York., Cao T; Shanghai United Imaging Healthcare Co., Ltd., Shanghai, China., Faul D; Siemens Medical Solutions USA, Inc., Malvern, Pennsylvania., Jakoby B; Siemens MR, Siemens Healthcare GmbH, Erlangen, Germany., Jansen FP; PET/MR Engineering, GE Healthcare, Chicago, Illinois., Kemp BJ; Division of Nuclear Medicine, Mayo Clinic, Rochester, Minnesota., Kinahan PE; Imaging Research Laboratory, University of Washington, Seattle, Washington., Larson P; Department of Radiology and Biomedical Imaging, University of California, San Francisco, California., Levine MA; Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts., Maniawski P; Advanced Molecular Imaging, Philips Healthcare, Cleveland, Ohio., Mawlawi O; Department of Imaging Physics, University of Texas M.D. Anderson Cancer Center, Houston, Texas., McConathy JE; Department of Radiology, University of Alabama at Birmingham, Birmingham, Alabama., McMillan AB; Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin., Price JC; Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts., Rajagopal A; Department of Radiology and Biomedical Imaging, University of California, San Francisco, California., Sunderland J; Division of Nuclear Medicine, Department of Radiology, University of Iowa, Iowa City, Iowa., Veit-Haibach P; Toronto Joint Department of Medical Imaging, University Health Network, Sinai Health System, and Women's College Hospital, Department of Medical Imaging, University of Toronto, Toronto, Canada., Wangerin KA; GE Healthcare, Chicago, Illinois; and., Ying C; Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, Missouri., Hope TA; Department of Radiology and Biomedical Imaging, University of California, San Francisco, California.

Publikováno v: Journal of nuclear medicine : official publication, Society of Nuclear Medicine [J Nucl Med] 2022 Apr; Vol. 63 (4), pp. 615-621. Date of Electronic Publication: 2021 Jul 22.

Quantitative and Qualitative Improvement of Low-Count [ ⁶⁸ Ga]Citrate and [ ⁹⁰ Y]Microspheres PET Image Reconstructions Using Block Sequential Regularized Expectation Maximization Algorithm.

Autor: Seo Y; Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, 94143-0946, USA. Youngho.Seo@ucsf.edu.; Department of Radiation Oncology, University of California, San Francisco, CA, USA. Youngho.Seo@ucsf.edu.; UC Berkeley - UCSF Graduate Program in Bioengineering, University of California, Berkeley and San Francisco, California, CA, USA. Youngho.Seo@ucsf.edu.; Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA. Youngho.Seo@ucsf.edu., Khalighi MM; GE Healthcare, Waukesha, WI, USA.; Department of Radiology, Stanford University, Stanford, CA, USA., Wangerin KA; GE Healthcare, Waukesha, WI, USA., Deller TW; GE Healthcare, Waukesha, WI, USA., Wang YH; GE Healthcare, Waukesha, WI, USA., Jivan S; Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, 94143-0946, USA., Kohi MP; Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, 94143-0946, USA., Aggarwal R; Division of Hematology and Oncology, Department of Medicine, University of California, San Francisco, CA, USA., Flavell RR; Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, 94143-0946, USA.; Department of Pharmaceutical Chemistry, University of California, San Francisco, CA, USA., Behr SC; Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, 94143-0946, USA., Evans MJ; Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, 94143-0946, USA.; Department of Pharmaceutical Chemistry, University of California, San Francisco, CA, USA.

Publikováno v: Molecular imaging and biology [Mol Imaging Biol] 2020 Feb; Vol. 22 (1), pp. 208-216.

Simultaneous Estimation of Bias and Resolution in PET Images With a Long-Lived "Pocket" Phantom System.

Autor: Kinahan PE; Imaging Research Laboratory, University of Washington, Seattle, WA., Byrd DW; Imaging Research Laboratory, University of Washington, Seattle, WA., Helba B; Kitware, Inc., Clifton Park, NY., Wangerin KA; Imaging Research Laboratory, University of Washington, Seattle, WA., Liu X; Kitware, Inc., Clifton Park, NY., Levy JR; The Phantom Laboratory, Salem, NY., Allberg KC; RadQual, LLC, Weare, NH., Krishnan K; Kitware, Inc., Clifton Park, NY., Avila RS; Accumetra, LLC, Clifton Park, NY.

Publikováno v: Tomography (Ann Arbor, Mich.) [Tomography] 2018 Mar; Vol. 4 (1), pp. 33-41.

Evaluation of lesion detectability in positron emission tomography when using a convergent penalized likelihood image reconstruction method.

Autor: Wangerin KA; General Electric Global Research Center, 1 Research Circle, Niskayuna, New York 12309, United States; University of Washington, Department of Bioengineering, 3720 15th Avenue NE, Seattle, Washington 98195, United States., Ahn S; General Electric Global Research Center , 1 Research Circle, Niskayuna, New York 12309, United States., Wollenweber S; General Electric Healthcare , 3000 North Grandview Boulevard, Waukesha, Wisconsin 53188, United States., Ross SG; General Electric Healthcare , 3000 North Grandview Boulevard, Waukesha, Wisconsin 53188, United States., Kinahan PE; University of Washington, Department of Bioengineering, 3720 15th Avenue NE, Seattle, Washington 98195, United States; University of Washington, Department of Radiology, 1959 NE Pacific Street, Seattle, Washington 98195, United States., Manjeshwar RM; General Electric Global Research Center , 1 Research Circle, Niskayuna, New York 12309, United States.

Publikováno v: Journal of medical imaging (Bellingham, Wash.) [J Med Imaging (Bellingham)] 2017 Jan; Vol. 4 (1), pp. 011002. Date of Electronic Publication: 2016 Nov 22.