CONFERENCE PROCEEDINGS
Advanced Search >
Home > Proceedings > Volume 10577 > Article
Translator Disclaimer
7 March 2018 Model and human observer reproducibility for detecting microcalcifications in digital breast tomosynthesis images
Dimitar Petrov; Nicholas Marshall; Kenneth Young; Hilde Bosmans
Author Affiliations +
Proceedings Volume 10577, Medical Imaging 2018: Image Perception, Observer Performance, and Technology Assessment; 105770B (2018) https://doi.org/10.1117/12.2293311
Event: SPIE Medical Imaging, 2018, Houston, Texas, United States
Abstract
Digital breast tomosynthesis (DBT) is a relatively new 3D breast imaging technique, which allows for better low contrast lesion detection than 2D full field digital mammography (FFDM). European guidelines for quality control in FFDM specify minimum and achievable threshold contrasts of small test inserts, determined from readings by human observers. Today model observers are being developed to predict and subsequently substitute human detectability readings. A similar performance test would be welcomed for DBT. However, since such a performance estimation is based on an observer classification, in order to circumvent misjudgments, it is important that the classification system is reliable. The aim of this study was to assess the human and model observer reliability by determining the observer reproducibility when reading 5 datasets from 60 tomosynthesis series acquired under the same conditions. For this purpose, a 3D structured phantom with calcification cluster models was scanned on a Siemens Inspiration tomosynthesis system. VOIs were extracted from these acquisitions and read under a 4 alternative forced choice (4-AFC) paradigm by 6 human observers. A channelized Hotelling model observer using 8 Laguerre-Gauss(LG) channels was developed including a scanning algorithm to detect the calcification clusters. An internal noise method was used to better approximate the human reading results. The observer reproducibility was estimated by bootstrapping and SEM was used as a figure of merit. The results show that the model observer is more reproducible for the smaller calcification sizes with maximum of 5.81 SEM, than human observer with maximum of 13.57 SEM. For the larger clusters both observers have similar reproducibility.
Conference Presentation
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Dimitar Petrov, Nicholas Marshall, Kenneth Young, and Hilde Bosmans "Model and human observer reproducibility for detecting microcalcifications in digital breast tomosynthesis images", Proc. SPIE 10577, Medical Imaging 2018: Image Perception, Observer Performance, and Technology Assessment, 105770B (7 March 2018); https://doi.org/10.1117/12.2293311
ACCESS THE FULL ARTICLE
PERSONAL SIGN IN
Full access may be available with your subscription
 
Forgot your username?
Forgot your password?
No SPIE account? Create an account
Institutional Access:
Sign in with your institutional credentials
PURCHASE THIS CONTENT
INTERESTED IN A FREE CORPORATE TRIAL?
SUBSCRIBE TO DIGITAL LIBRARY
50 downloads per 1-year subscription
Members: $195
Non-members: $335 ADD TO CART
25 downloads per 1 - year subscription
Members: $145
Non-members: $250 ADD TO CART
PURCHASE SINGLE ARTICLE
Includes PDF, HTML & Video, when available
Members: $17.00
Non-members: $21.00 ADD TO CART
PROCEEDINGS
 7 PAGES + PRESENTATION
DOWNLOAD PDF SAVE TO MY LIBRARY
WATCH
PRESENTATION
SHARE
GET CITATION
< Previous Article
|
Next Article >
Advertisement
Advertisement
KEYWORDS
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top