Science and practice of imaging physics through 50 years of SPIE Medical Imaging conferences.

Adam Wang¹, Ian Cunningham², Mats Danielsson³, Rebecca Fahrig^4,5, Thomas Flohr⁴, Christoph Hoeschen⁶, Frederic Noo⁷, John M Sabol⁸, Jeffrey H Siewerdsen⁹, Anders Tingberg¹⁰, John Yorkston¹¹, Wei Zhao¹², Ehsan Samei¹³

¹Stanford University, Department of Radiology, Stanford, California, United States.

²Western University, Robarts Research Institute, London, Ontario, Canada.

³KTH Royal Institute of Technology, Department of Physics, Stockholm, Sweden.

⁴Siemens Healthineers, Forchheim, Germany.

⁵Friedrich-Alexander Universität, Department of Computer Science, Erlangen, Germany.

⁶Otto-von-Guericke University, Institute of Medical Engineering, Magdeburg, Germany.

⁷University of Utah, Department of Radiology and Imaging Sciences, Salt Lake City, Utah, United States.

⁸Konica Minolta Healthcare Americas, Wayne, New Jersey, United States.

⁹Johns Hopkins University, Department of Biomedical Engineering, Baltimore, Maryland, United States.

¹⁰Lund University, Skåne University Hospital, Department of Translational Medicine, Medical Radiation Physics, Malmö, Sweden.

¹¹Carestream Health, Rochester, New York, United States.

¹²Stony Brook University, Department of Radiology, Stony Brook, New York, United States.

¹³Duke University, Department of Radiology, Durham, North Carolina, United States.

PubMed PMC DOI PDF

Abstract

Purpose: For 50 years now, SPIE Medical Imaging (MI) conferences have been the premier forum for disseminating and sharing new ideas, technologies, and concepts on the physics of MI. Approach: Our overarching objective is to demonstrate and highlight the major trajectories of imaging physics and how they are informed by the community and science present and presented at SPIE MI conferences from it…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Create Free Account Sign In

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.