Computer-aided diagnosis workstation and network system for chest diagnosis based on multislice CT images
2007
Mass screening based on multi-helical CT images requires a considerable number of images to
be read. It is this time-consuming step that makes the use of helical CT for mass screening impractical at
present. To overcome this problem, we have provided diagnostic assistance methods to medical screening
specialists by developing a lung cancer screening algorithm that automatically detects suspected lung
cancers in helical CT images, a coronary artery calcification screening algorithm that automatically
detects suspected coronary artery calcification and a vertebra body analysis algorithm for quantitative
evaluation of osteoporosis likelihood by using helical CT scanner for the lung cancer mass screening. The
function to observe suspicious shadow in detail are provided in computer-aided diagnosis workstation
with these screening algorithms. We also have developed the telemedicine network by using Web medical
image conference system with the security improvement of images transmission, Biometric fingerprint
authentication system and Biometric face authentication system. Biometric face authentication used on
site of telemedicine makes "Encryption of file" and Success in login" effective. As a result, patients'
private information is protected. Based on these diagnostic assistance methods, we have developed a new
computer-aided workstation and a new telemedicine network that can display suspected lesions
three-dimensionally in a short time. The results of this study indicate that our radiological information
system without film by using computer-aided diagnosis workstation and our telemedicine network
system can increase diagnostic speed, diagnostic accuracy and security improvement of medical
information.
Keywords:
- Correction
- Source
- Cite
- Save
- Machine Reading By IdeaReader
0
References
2
Citations
NaN
KQI