A software system for the simulation of chest lesions

John T. Ryan; Mark McEntee; Saoirse Barrett; Michael Evanoff; David Manning; Patrick Brennan

doi:10.1117/12.708216

8 March 2007 A software system for the simulation of chest lesions

John T. Ryan, Mark McEntee, Saoirse Barrett, Michael Evanoff, David Manning, Patrick Brennan

Author Affiliations +

Proceedings Volume 6515, Medical Imaging 2007: Image Perception, Observer Performance, and Technology Assessment; 65150J (2007) https://doi.org/10.1117/12.708216
Event: Medical Imaging, 2007, San Diego, CA, United States

Abstract

We report on the development of a novel software tool for the simulation of chest lesions. This software tool was developed for use in our study to attain optimal ambient lighting conditions for chest radiology. This study involved 61 consultant radiologists from the American Board of Radiology. Because of its success, we intend to use the same tool for future studies. The software has two main functions: the simulation of lesions and retrieval of information for ROC (Receiver Operating Characteristic) and JAFROC (Jack-Knife Free Response ROC) analysis. The simulation layer operates by randomly selecting an image from a bank of reportedly normal chest x-rays. A random location is then generated for each lesion, which is checked against a reference lung-map. If the location is within the lung fields, as derived from the lung-map, a lesion is superimposed. Lesions are also randomly selected from a bank of manually created chest lesion images. A blending algorithm determines which are the best intensity levels for the lesion to sit naturally within the chest x-ray. The same software was used to run a study for all 61 radiologists. A sequence of images is displayed in random order. Half of these images had simulated lesions, ranging from subtle to obvious, and half of the images were normal. The operator then selects locations where he/she thinks lesions exist and grades the lesion accordingly. We have found that this software was very effective in this study and intend to use the same principles for future studies.

Citation Download Citation

John T. Ryan, Mark McEntee, Saoirse Barrett, Michael Evanoff, David Manning, and Patrick Brennan "A software system for the simulation of chest lesions", Proc. SPIE 6515, Medical Imaging 2007: Image Perception, Observer Performance, and Technology Assessment, 65150J (8 March 2007); https://doi.org/10.1117/12.708216

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