PDA-based system with teleradiology and image analysis capabilities.
The aim of the present study was to design and implement a Personal Digital Assistant (PDA)-based teleradiology system incorporating image processing and analysis facilities for use in emergency situations within a hospital environment. The system comprised a DICOM-server, connected to an MRI unit, 3 wireless access points, and 3 PDAs (HP iPaq rx3715). PDA application software was developed in MS Embedded Visual C++ 4.0. Each PDA can receive, load, process and analyze hi-quality static MR images. Image processing includes gray-scale manipulation and spatial filtering techniques while image analysis incorporates a probabilistic neural network (PNN) classifier, which was optimally designed employing a suitable combination of textural features and was evaluated using the leave-one-out method. The PNN is capable of discriminating between three major types of human brain tumors with accuracy of 86.66%. The developed application may be useful as a mobile medical teleconsultation tool.
Georgiadis
Pantelis
P
Medical Image Processing and Analysis Group, Laboratory of Medical Physics, School of Medicine, University of Patras, Rio, GR-26503 Greece. pgeorgiadis@med.upatras.gr
Cavouras
Dionisis
D
Daskalakis
Antonis
A
Sifaki
Koralia
K
Malamas
Menelaos
M
Nikiforidis
George
G
Solomou
Ekaterini
E
D000465:Algorithms; D003195:Computer Communication Networks; D034201:Computers, Handheld; D003626:Data Display; D004867:Equipment Design; D019544:Equipment Failure Analysis; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000295:instrumentation* / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000295:instrumentation / Q000379:methods; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D019112:Teleradiology / Q000295:instrumentation* / Q000379:methods*; D014584:User-Computer Interface