Two-Dimensional TRUS Image and Three-Dimensional MRI Prostate Image Fusion System

Chuan Yu Chang, Chih An Wang, Yuh Shyan Tsai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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).

Original languageEnglish
Title of host publicationNew Trends in Computer Technologies and Applications - 23rd International Computer Symposium, ICS 2018, Revised Selected Papers
EditorsChuan-Yu Chang, Chien-Chou Lin, Horng-Horng Lin
PublisherSpringer Verlag
Pages785-792
Number of pages8
ISBN (Print)9789811391897
DOIs
Publication statusPublished - 2019
Event23rd International Computer Symposium, ICS 2018 - Yunlin, Taiwan
Duration: 2018 Dec 202018 Dec 22

Publication series

NameCommunications in Computer and Information Science
Volume1013
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference23rd International Computer Symposium, ICS 2018
Country/TerritoryTaiwan
CityYunlin
Period18-12-2018-12-22

All Science Journal Classification (ASJC) codes

  • General Computer Science
  • General Mathematics

Fingerprint

Dive into the research topics of 'Two-Dimensional TRUS Image and Three-Dimensional MRI Prostate Image Fusion System'. Together they form a unique fingerprint.

Cite this