Biography

Sean Rose received his PhD in Medical Physics from the University of Chicago in 2018 and completed his diagnostic imaging physics residency at the University of Wisconsin-Madison in 2020. He joined the imaging physics team at UTHealth McGovern Medical School in early 2021. At the University of Chicago, his research focused on the optimization of iterative image reconstruction algorithms in breast CT and digital breast tomosynthesis. At the University of Wisconsin-Madison, his research focus shifted to quality and workflow improvement in Radiology, with a primary focus on CT. His current research interests include (1) the development, validation, and application of an automated repeat/reject analysis algorithm for CT using readily available DICOM metadata, (2) comparing workflows and identifying inefficiencies in CT guided interventions, (3) investigating CT usage data from multiple institutions to identify and compare common practices for distributing specialized CT exams (e.g. CT perfusion) across a fleet of scanners, and (4) CT protocol optimization. Sean is also an active member of the AAPM, currently serving on the Diagnostic Demand and Supply Working Group and the Medical Physics 3.0 Smart Expansion Subcommittee.

Education

Graduate Education
Ph.D., Medical Physics, The University of Chicago 2018

Research Information

**Faculty profiles will only highlight current information (the last three years). Please see the faculty’s CV for more information.

 

NIH F31 EB023076, “Task-based Optimization of Acquisition Parameters in Digital Breast
Tomosynthesis,” Sean D. Rose, P.I., 8/12/2016-6/9/2018

Publications

Publication Information

**Faculty profiles will only highlight current information (the last three years). Please see the faculty’s CV for more information.

 

Refereed Original Articles in Journals

  1. Aggrawal H. O., Andersen M. S., Rose S., and Sidky E. Y. A convex reconstruction model for X-ray tomographic imaging with uncertain flat-fields. IEEE Transactions on Computational Imaging. 4:17-31, 2018. PMCID: PMC6101264
  2. Zhang Z., Rose S., Ye J., Perkins A. E., Chen B., Kao C.-M., Sidky E. Y., Tung C.-H, and Pan X. Optimization-based image reconstruction from low-count, listmode TOF-PET data. IEEE Transactions on Biomedical Engineering. 65:936- 946, 2018. PMCID: PMC5912805
  3. Rose S., Reiser I., Sidky E. Y., and Pan X. Imaging of fiber-like structures in digital breast tomosynthesis. Journal of Medical Imaging. 6:031404, 2018. PMCID: PMC6328371
  4. Szczykutowicz T. and Rose S. First look: Repeat Rates in CT. Radiology Management. 41:29-35, 2019.
  5. Rose S., Viggiano B., Bour R., Bartels C., and Szczykutowicz T. A multiinstitutional study on wasted scans from 60,000 patients in CT. American Journal of Roentgenology. 215:1123-1129, 2020.
  6. Knott EA, Rose SD, Wagner MG, Lee FT Jr, Radtke J, Anderson DR, Zlevor AM, Lubner MG, Hinshaw JL, Szczykutowicz TP. CT Fluoroscopy for ImageGuided Procedures: Physician Radiation Dose During Full-Rotation and Partial- 4 Angle CT Scanning. J Vasc Interv Radiol. Jan 4:S1051-0443(20)31022-8. 2021. Epub ahead of print. PMID: 33414069.
  7. Viggiano B., Rose S. and Szczykutowicz T.P. Effect of Contrast Agent Administration on Water Equivalent Diameter in CT. Medical Physics – Accepted
  8. Rose S., Viggiano B., Bour R., Bartels C., Kanne J., and Szczykutowicz T. Applying a new CT quality metric in radiology: How CT pulmonary angiography repeat rates compare across institutions. Journal of the American College of Radiology – Accepted

 

Other Professional Communications

Patents

  1. Szczykutowicz T., Rose S., and Viggiano B. Apparatus for tomography repeat rate/reject rate capture. US Patent Application No. 16/403857.
    Filed May 6, 2019.

National Presentations

  1. Rose S., Viggiano B., and Szczykutowicz T. A method for automated repeat/reject rate analysis in CT. AAPM Annual Conference, 2019.
  2. Rose S., Viggiano B., and Szczykutowicz T. Repeated/rejected events in CT: A study quantifying their frequency and impact on patient dose. Annual Meeting of the RSNA, 2019.

Scientific Exhibits

  1. Rose S., Reiser I., Sidky E. Y., and Pan X. Orientation dependent visualization of fibers in digital breast tomosynthesis: Advantages of a circular source trajectory. IEEE Nuclear Science Symposium and Medical Imaging Conference, 2018.
  2. Zhang Z., Rose S., Ye J., Perkins A. E., Chen B., Sidky E. Y., Kao C.M., Tung C.H., and Pan X. Algorithm enabled TOF-PET imaging with reduced scan time. SPIE Medical Imaging: Physics of Medical Imaging, 2018.
  3. Lipford M., Rose S., and Ranallo F. The effects of varying the display field of view (reconstruction field of view) on MTF. AAPM Annual Conference, 2019.
  4. Rose S., Lipford M., and Ranallo F.Pitch dependence of slice sensitivity profile and dose-efficiency in CT. AAPM Annual Conference, 2019.
  5. Rose S., Viggiano B., and Szczykutowicz T. An Automated InformaticsBased Repeat/Reject Rate Algorithm for CT. Annual Meeting of the RSNA, 2019.
  6. Rose S., Lipford M., Stabo N., Bartels C., Lubner M., Szczykutowicz T. Metal Artifact Reduction Algorithms for CT in the Trauma Setting: Do They Take Too Long? AAPM Annual Conference, 2020.
  7. Rose S., Ruyle J., and Szczykutowicz T. Parameterizing Size-Based Variations in CT Number. AAPM Annual Conference, 2020 – selected as a Blue Ribbon Imaging ePoster.
  8. Rose S., Viggiano B., and Szczykutowicz T. Identification of poorly performing CT protocols via comparison of CT repeat rates across five institutions. Annual Meeting of the RSNA, 2020.
  9. Rose S., Lubner M., Hartung M., Kim D., Avey G., and Szczykutowicz T. Deep learning based CT reconstruction algorithms: How they are different from iterative reconstruction and considerations for application in clinical practice. Annual Meeting of the RSNA, 2020.