Encrypted login | home

Program Information

Quantitative Imaging Initiatives: Why, Who, What, and How?

no image available
D Sullivan

E Jackson

L Clarke
no image available
N Petrick
no image available
S Russek

D Sullivan1*, E Jackson2*, L Clarke3*, N Petrick4*, S Russek5*, (1) Duke University, Durham, NC, (2) University of Wisconsin, Madison, WI, (3) National Cancer Institute, Bethesda, MD, (4) US Food and Drug Administration, Silver Spring, MD, (5) National Institute of Standards and Technology, Boulder, CO


MO-C-12A-1 Monday 10:15AM - 12:15PM Room: 12A

Over the past decade, there has been an increasing focus on quantitative imaging (QI), which, according to one definition, is “the extraction of quantifiable features from medical images for the assessment of normal or the severity, degree of change, or status of a disease, injury, or chronic condition relative to normal” (www.rsna.org/QIBA). To achieve the goals of QI requires the development and standardization of data acquisition, data analysis, and data display techniques, as well as appropriate reporting structures. As such, successful implementation of QI relies heavily on expertise from the fields of medical physics, radiology, statistics, and informatics as well as collaboration from vendors of imaging acquisition, analysis, and reporting systems. When successfully implemented, QI techniques will provide image-derived metrics with known bias and variance that can be validated with anatomically and physiologically relevant measures, including treatment response, and the heterogeneity of that response, and outcome. Such non-invasive measures can then be used effectively in clinical and translational research as well as patient care.

In addition to modality-specific QI efforts implemented by individual scientific organizations, national and international organizations, including the NCI, RSNA, FDA, and NIST, appreciating the tremendous potential of QI but also understanding the associated challenges, have become increasingly involved. This symposium session will focus on 1) introducing QI and illustrating why it is important, even though challenging, in both research and clinical applications, and 2) providing overviews of QI efforts from national and international organizations, including the RSNA, NCI, FDA, and NIST.

Learning Objectives:
1. Understand the importance and potential of QI in research and clinical applications.
2. Understand key challenges of QI and current barriers to implementation.
3. Understand the current QI efforts of several national and international agencies and organizations, including the FDA, NCI, NIST, and RSNA.


Contact Email: