Image Perception, Observer Performance, and Technology Assessment

Location- and lesion-dependent estimation of mammographic background tissue complexity

[+] Author Affiliations
Ali Avanaki, Kathryn Espig

Barco Healthcare, 9125 SW Gemini Drive, Suite 200, Beaverton, Oregon 97008, United States

Tom Kimpe

Barco n. v., Beneluxpark 21, Kortrijk 8500, Belgium

J. Med. Imag. 4(1), 015501 (Jan 12, 2017). doi:10.1117/1.JMI.4.1.015501
History: Received August 4, 2016; Accepted December 13, 2016
Text Size: A A A

Abstract.  We specify a notion of perceived background tissue complexity (BTC) that varies with lesion shape, lesion size, and lesion location in the image. We propose four unsupervised BTC estimators based on: perceived pre and postlesion similarity of images, lesion border analysis (LBA; conspicuous lesion should be brighter than its surround), tissue anomaly detection, and local energy. The latter two are existing methods adapted for location- and lesion-dependent BTC estimation. For evaluation, we ask human observers to measure BTC (threshold visibility amplitude of a given lesion inserted) at specified locations in a mammogram. As expected, both human measured and computationally estimated BTC vary with lesion shape, size, and location. BTCs measured by different human observers are correlated (ρ=0.67). BTC estimators are correlated to each other (0.84<ρ<0.95) and less so to human observers (ρ0.81). With change in lesion shape or size, LBA estimated BTC changes in the same direction as human measured BTC. Proposed estimators can be generalized to other modalities (e.g., breast tomosynthesis) and used as-is or customized to a specific human observer, to construct BTC-aware model observers with applications, such as optimization of contrast-enhanced medical imaging systems and creation of a diversified image dataset with characteristics of a desired population.

Figures in this Article
© 2017 Society of Photo-Optical Instrumentation Engineers

Topics

Tissues ; Mammography

Citation

Ali Avanaki ; Kathryn Espig and Tom Kimpe
"Location- and lesion-dependent estimation of mammographic background tissue complexity", J. Med. Imag. 4(1), 015501 (Jan 12, 2017). ; http://dx.doi.org/10.1117/1.JMI.4.1.015501


Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

PubMed Articles
Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.