Broad Goals
- Devising patient-based performance metrics for clinical data
- Developing detectability and estimability indices from clinical informatics data
- Defining and deploying sound, scientific formulations of organ dose informatics
- Devising advanced aggregation, analytical, and communication methods to extract knowledge from data
Performance has conventionally characterized using phantom data, while informatics has classically been focused on processing data and information. In this era of performance- and value-based healthcare, there is a need to assess performance based on actual patient data along with its associated analytics. The Performance Informatics group designs, develops, and applies medical imaging metrologies to the clinical domain, from the aggregated enterprise-level all the way down to an individual patient exam. The projects undertaken by group members all apply radiation dose and image quality science in the context of patient imaging with the end goals being oriented toward understanding the features of patient-based imaging performance, and sources of variability (individually and collectively) as means to improve the precision of clinical care. The current projects are focused on characterizations of performance based on clinically-informed metrics and surrogates, different methods of aggregation and analytics, optimization of clinical performance, and the communication of the results.
Related Publications
- A method for characterizing and matching CT image quality across CT scanners from different manufacturers
- Size-specific optimization of CT protocols based on minimum detectability
- CT Radiation dose monitoring: current state and new prospects (invited article)
- Automated technique to measure noise in clinical CT examinations
- Automated characterization of perceptual quality of clinical chest radiographs: Validation and calibration to observer preference
- Automated patient-specific CT dose monitoring system: assessing variability in CT dose
- A patient image-based technique to assess the image quality of clinical chest radiographs
- Samei. Medical physics 3.0: A renewed model for practicing medical physics in clinical imaging. Physics Medica 2022. https://pubmed.ncbi.nlm.nih.gov/34998132/
- Samei et al. Hallway Conversations in Physics: Photon-Counting CT. AJR 215 (5): W50-W52, 2020. https://www.ajronline.org/doi/full/10.2214/AJR.20.22870?mobileUi=0
