|
KMID : 1103720150730050315
|
|
Journal of the Korean Society of Radiology
2015 Volume.73 No. 5 p.315 ~ p.322
|
|
|
Development of an Online Radiology Case Review System Featuring Interactive Navigation of Volumetric Image Datasets Using Advanced Visualization Techniques
|
|
Yang Hyun-Kyung
Woo Hyun-Sik
Jo Jae-Min
Lee Min-Hee
Kim Bo-Hyoung
Seo Jin-Wook
Jung Ju-Hyun
Kang Heung-Sik
Lee Kyoung-Ho
|
|
|
Abstract
|
|
|
Purpose
To develop an online radiology case review system that allows interactive navigation of volumetric image datasets using advanced visualization techniques.
Materials and Methods
Our Institutional Review Board approved the use of the patient data and waived the need for informed consent. We determined the following system requirements: volumetric navigation, accessibility, scalability, undemanding case management, trainee encouragement, and simulation of a busy practice. The system comprised a case registry server, client case review program, and commercially available cloud-based image viewing system.
Results
In the pilot test, we used 30 cases of low-dose abdomen computed tomography for the diagnosis of acute appendicitis. In each case, a trainee was required to navigate through the images and submit answers to the case questions. The trainee was then given the correct answers and key images, as well as the image dataset with annotations on the appendix. After evaluation of all cases, the system displayed the diagnostic accuracy and average review time, and the trainee was asked to reassess the failed cases. The pilot system was deployed successfully in a hands-on workshop course.
Conclusion
We developed an online radiology case review system that allows interactive navigation of volumetric image datasets using advanced visualization techniques.
|
|
|
KEYWORD
|
|
|
Radiology, Education, Internet
|
|
|
FullTexts / Linksout information
|
|
|
|
|
|
Listed journal information
|
|
  
|
|