@inproceedings{aed720cde490429489c125d019225123,
title = "Medical image reconstruction algorithm based on the geometric information between sensor detector and ROI",
abstract = "In this paper, we propose a new image reconstruction algorithm considering the geometric information of acoustic sources and senor detector and review the two-step reconstruction algorithm which was previously proposed based on the geometrical information of ROI(region of interest) considering the finite size of acoustic sensor element. In a new image reconstruction algorithm, not only mathematical analysis is very simple but also its software implementation is very easy because we don't need to use the FFT. We verify the effectiveness of the proposed reconstruction algorithm by showing the simulation results by using Matlab k-wave toolkit.",
keywords = "Aoustic Sensor Element, Green's fuction, Image Reconstruction, ROI, K-wave",
author = "Woonchul Ham and Chulgyu Song and Kangsan Lee and Seungkuk Roh",
note = "Publisher Copyright: {\textcopyright} 2016 SPIE.; Sensing and Analysis Technologies for Biomedical and Cognitive Applications 2016 ; Conference date: 17-04-2016 Through 18-04-2016",
year = "2016",
doi = "10.1117/12.2223468",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Meyer-Base, \{Anke D.\} and Liyi Dai and Yufeng Zheng and Henry Chu",
booktitle = "Sensing and Analysis Technologies for Biomedical and Cognitive Applications 2016",
}