User-friendly tools on handheld devices for observer performance study

Takuya Matsumoto; Takeshi Hara; Junji Shiraishi; Daisuke Fukuoka; Hiroyuki Abe; Masaki Matsusako; Akira Yamada; Xiangrong Zhou; Hiroshi Fujita

doi:10.1117/12.912307

6 March 2012 User-friendly tools on handheld devices for observer performance study

Takuya Matsumoto, Takeshi Hara, Junji Shiraishi, Daisuke Fukuoka, Hiroyuki Abe, Masaki Matsusako, Akira Yamada, Xiangrong Zhou, Hiroshi Fujita

Author Affiliations +

Proceedings Volume 8318, Medical Imaging 2012: Image Perception, Observer Performance, and Technology Assessment; 83181J (2012) https://doi.org/10.1117/12.912307
Event: SPIE Medical Imaging, 2012, San Diego, California, United States

Abstract

ROC studies require complex procedures to select cases from many data samples, and to set confidence levels in each selected case to generate ROC curves. In some observer performance studies, researchers have to develop software with specific graphical user interface (GUI) to obtain confidence levels from readers. Because ROC studies could be designed for various clinical situations, it is difficult task for preparing software corresponding to every ROC studies. In this work, we have developed software for recording confidence levels during observer studies on tiny personal handheld devices such as iPhone, iPod touch, and iPad. To confirm the functions of our software, three radiologists performed observer studies to detect lung nodules by using public database of chest radiograms published by Japan Society of Radiological Technology. The output in text format conformed to the format for the famous ROC kit from the University of Chicago. Times required for the reading each case was recorded very precisely.

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Takuya Matsumoto, Takeshi Hara, Junji Shiraishi, Daisuke Fukuoka, Hiroyuki Abe, Masaki Matsusako, Akira Yamada, Xiangrong Zhou, and Hiroshi Fujita "User-friendly tools on handheld devices for observer performance study", Proc. SPIE 8318, Medical Imaging 2012: Image Perception, Observer Performance, and Technology Assessment, 83181J (6 March 2012); https://doi.org/10.1117/12.912307

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KEYWORDS

Software development

Chest

Databases

Lung

Medical imaging

Computer aided design

Human-machine interfaces

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