Objective Task-Based Evaluation of Quantitative Medical Imaging Methods: Emerging Frameworks and Future Directions.
Authors
Liu Y,Xia H,Obuchowski NA,Laforest R,Rahmim A,Siegel BA,Jha AK
Affiliations (6)
Affiliations (6)
- Department of Biomedical Engineering, Washington University in St. Louis, 1 Brookings Drive, St. Louis, MO 63130, USA.
- Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH 44195, USA.
- Department of Radiology, Precision Radiotheranostics Research Center, Mallinckrodt Institute of Radiology, Washington University in St. Louis, 510 S Kingshighway Boulevard, St. Louis, MO 63110, USA.
- Department of Radiology, Department of Physics, Department of Biomedical Engineering, University of British Columbia, BC Cancer Research Institute, 675 West 10th Avenue, Office 6-112, Vancouver, British Columbia V5Z 1L3, Canada.
- Division of Nuclear Medicine, Mallinckrodt Institute of Radiology, Alvin J. Siteman Cancer Center, Washington University School of Medicine, 510 S Kingshighway Boulevard #956, St. Louis, MO 63110, USA.
- Department of Biomedical Engineering, Mallinckrodt Institute of Radiology, Alvin J. Siteman Cancer Center, Washington University in St. Louis, 510 S Kingshighway Boulevard, St. Louis, MO 63110, USA. Electronic address: [email protected].
Abstract
Quantitative imaging (QI) holds significant potential across diverse clinical applications. For clinical translation of QI, rigorous evaluation on clinically relevant tasks is essential. This article outlines 4 emerging evaluation frameworks, including virtual imaging trials, evaluation with clinical data in the absence of ground truth, evaluation for joint detection and quantification tasks, and evaluation of QI methods that output multidimensional outputs. These frameworks are presented in the context of recent advancements in PET, such as long axial field of view PET and the development of artificial intelligence algorithms for PET. We conclude by discussing future research directions for evaluating QI methods.
Topics
Journal ArticleReview