Medical Image Processing System


I proposed a TMO based medical image processing system for telemedicine applications, named KMIPS (Konkuk Medical Image Processing System), based on the time-triggered message-triggered object (TMO) structuring scheme which is a distributed real-time object model. The KMIPS is designed with the TMO model and its execution environment is based on TMOSM/Linux that is an execution engine for a TMO structured program on Linux. The purpose of the KMIPS is that it helps developers to design a complex distributed real-time medical image processing system in ubiquitous or distributed environments. In order to achieve this goal, the KMIPS consists of 7-medical image processing service objects, MIAcquisition TMO, MIProcess TMO, MIAnalysis TMO, MIDicom TMO, MIDisplay TMO, MISManager TMO, and MIService TMO. The KMIPS provides a set of analysis functions such as ROI (Region of Interest) setting, contrast adjust, and MCA (multi-channel analyzer), and a set of image processing functions such as filtering, edge detection, and binary arithmetic. Also, the KMIPS can acquire a medical image from various medical image scanners (e.g., MRI, CT, gamma camera, etc.), converts it into a DICOM image, and transfers the DICOM image to one or more clients. Then, a client can analyze, process, and diagnose the DICOM image. In conclusion, I expect that telemedicine applications based on our system would accurately acquire a medical image from various medical image devices and efficiently analyze it.


Health Care in the Future
A Small Gamma Camera System
Structure of Konkuk Medical Image Processing Image 1/2
Structure of Konkuk Medical Image Processing Image 2/2


Acquisition and Analysis of Images
Change to Digital Imaging and Communications in Medicine (DICOM)
Handling and Analysis of Images 1/2
Handling and Analysis of Images 2/2
Server program
Client Data and Client (PDA)