Share Email Print
cover

Proceedings Paper

Comparison study of task-based detectability index according to angular distribution in a prototype breast tomosynthesis
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Quantitative imaging performance analysis has recently been the focus in medical imaging fields. It would not only provide objective information but also it could aid a patient diagnosis by giving optimized system parameters for various imaging tasks. However, the previous studies on task-based metric in breast tomosynthesis usually take into account a cascaded system modeling for generalized noise equivalent quanta. In this study, the authors have been focused on the experimental study for calculating task-based detectability index (d') in the prototype breast tomosynthesis system for different angular ranges. According to the summarized d' the authors observed that the highest d' could be found in the angular range of ±10.5° (1.5° angle step) among several cases for detection of 4.7 mm mass in our prototype breast tomosynthesis system. Our study would be easily applied in practical breast tomosynthesis for the quantitative performance analysis of imaging parameter is needed. More various imaging tasks with different parameter combinations would be conducted in the future for generalized optimization of breast tomosynthesis study.

Paper Details

Date Published: 9 March 2018
PDF: 6 pages
Proc. SPIE 10573, Medical Imaging 2018: Physics of Medical Imaging, 105735T (9 March 2018); doi: 10.1117/12.2294052
Show Author Affiliations
Seungyeon Choi, Yonsei Univ. (Korea, Republic of)
Sunghoon Choi, Yonsei Univ. (Korea, Republic of)
Donghoon Lee, Yonsei Univ. (Korea, Republic of)
Haenghwa Lee, Yonsei Univ. (Korea, Republic of)
Dohyeon Kim, Yonsei Univ. (Korea, Republic of)
Young-Wook Choi, Korea Electrotechnology Research Institute (Korea, Republic of)
Hee-Joung Kim, Yonsei Univ. (Korea, Republic of)


Published in SPIE Proceedings Vol. 10573:
Medical Imaging 2018: Physics of Medical Imaging
Joseph Y. Lo; Taly Gilat Schmidt; Guang-Hong Chen, Editor(s)

© SPIE. Terms of Use
Back to Top