TU‐A‐17A‐02: In Memoriam of Ben Galkin: Virtual Tools for Validation of X‐Ray Breast Imaging Systems

• Published in: Medical physics (Lancaster) Vol. 41; no. 6Part26; pp. 446 - 447
• Main Authors: Myers, K, Bakic, P, Abbey, C, Kupinski, M, Mertelmeier, T
• Format: Journal Article
• Language: English
• Published: United States American Association of Physicists in Medicine 01.06.2014
• Subjects: 60 APPLIED LIFE SCIENCES; CLINICAL TRIALS; COMPARATIVE EVALUATIONS; Computer software; Image analysis; MAMMARY GLANDS; Medical X‐ray imaging; OPTIMIZATION; PATIENTS; PHANTOMS; Statistical analysis; Statistical properties; Testing procedures; VALIDATION; X‐ray imaging; X‐rays
• DOI: 10.1118/1.4889235
• ISSN: 0094-2405

This symposium will explore simulation methods for the preclinical evaluation of novel 3D and 4D x‐ray breast imaging systems – the subject of AAPM taskgroup TG234. Given the complex design of modern imaging systems, simulations offer significant advantages over long and costly clinical studies in terms of reproducibility, reduced radiation exposures, a known reference standard, and the capability for studying patient and disease subpopulations through appropriate choice of simulation parameters. Our focus will be on testing the realism of software anthropomorphic phantoms and virtual clinical trials tools developed for the optimization and validation of breast imaging systems. The symposium will review the stateof‐ the‐science, as well as the advantages and limitations of various approaches to testing realism of phantoms and simulated breast images. Approaches based upon the visual assessment of synthetic breast images by expert observers will be contrasted with approaches based upon comparing statistical properties between synthetic and clinical images. The role of observer models in the assessment of realism will be considered. Finally, an industry perspective will be presented, summarizing the role and importance of virtual tools and simulation methods in product development. The challenges and conditions that must be satisfied in order for computational modeling and simulation to play a significantly increased role in the design and evaluation of novel breast imaging systems will be addressed. Learning Objectives: 1.Review the state‐of‐the science in testing realism of software anthropomorphic phantoms and virtual clinical trials tools; 2.Compare approaches based upon the visual assessment by expert observers vs. the analysis of statistical properties of synthetic images; 3.Discuss the role of observer models in the assessment of realism; 4.Summarize the industry perspective to virtual methods for breast imaging.