@inproceedings{37940b7009924d8492be861b4b27d224,
title = "Two-Dimensional TRUS Image and Three-Dimensional MRI Prostate Image Fusion System",
abstract = "In the diagnosis of prostate disease, urologists examine the presence of fibrosis or tumors in the prostate tissue of patients by magnetic resonance imaging (MRI) and transrectal ultrasonography (TRUS). In general, urologists will imagine the location of fibrosis or tumors in 3D space. To resolve this a fusion algorithm for three-dimensional (3D) prostate magnetic resonance imaging (MRI) and 2D TRUS was developed. Fiducial registration error was employed in this study to evaluate the registration error of the upper half contour. Experiments showed that the proposed method achieved good fusion results. The system can further guide urologists in the performance of TRUS for tissue biopsy or high intensity focused ultrasound (HIFU).",
author = "Chang, {Chuan Yu} and Wang, {Chih An} and Tsai, {Yuh Shyan}",
note = "Funding Information: Acknowledgment. This work was financially supported by the “Intelligent Recognition Industry Service Center” from The Featured Areas Research Center Program within the frame-work of the Higher Education Sprout Project by the Ministry of Education (MOE) in Taiwan. Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd. 2019.; 23rd International Computer Symposium, ICS 2018 ; Conference date: 20-12-2018 Through 22-12-2018",
year = "2019",
doi = "10.1007/978-981-13-9190-3_85",
language = "English",
isbn = "9789811391897",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "785--792",
editor = "Chuan-Yu Chang and Chien-Chou Lin and Horng-Horng Lin",
booktitle = "New Trends in Computer Technologies and Applications - 23rd International Computer Symposium, ICS 2018, Revised Selected Papers",
address = "Germany",
}