New tools for teleconsultations MediPAS

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New tools for teleconsultations MediPAS

• Dr. Vaidotas Marozas
• Institute of Biomedical Engineering
• Kaunas University of Technology

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Objective

• To develop a new affordable and integrated
  software for acquisition of medical images,
  analysis, teleconsultation and archiving.

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MediPAS development method

• Developed by telemedical applications group at
  Kaunas University of Technology
• With practical consultations from otolaryngology,
  ophthalmology and pathology doctors at Kaunas
  Medical University Hospital
• In cooperation with Euromed Networks AB from
  Stockholm
• Under supervision of TietoEnator Trigon AB from
  Malmo

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Features of MediPAS software

• Main features
• Image acquisition
• Image editing
• Image processing
• Review of images
• Design of databases
• General features
• Advances features
• Plug-In for Pathology
• Conferencing and discussion of images

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Acquisition of images

• Is possible to acquire image from
• analog video camera trough frame-grabber,
• digital camera trough TWAIN software interface,
• file stored on hard disc,
• database (local or remote on the server).

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Acquisition from digital camera

• MediPAS using TWAIN standard interface is
  compatible to most of modern digital cameras.

Standard features of TWAIN interface enables user
to control camera from MediPAS.
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Review of images

• To facilitate review of images
• list of load images with thumbnails
• click and drag to scroll image
• left/right click or moise wheel to
  ZoomIn/ZoomOut
• compare side-by-side

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Image edit

• In MediPAS it is possible to
• select part of the image
• copy
• cut
• paste
• rotate image.

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Image processing

• Basic image processing in MediPAS
• brightness
• contrast
• colour saturation
• undo
• return to original image.

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Working with databases

• MediPAS supports local (MS Access) and remote (MS
  SQL Server) databases.
• In databases is possible to store images and
  related text information.
• User can easily design database forms and tables
  him-self.
• It is very easy to store image into database -
  drag and drop.

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General features

• Languages English and Lithuanian
• Selection of toolbars Main, Image, Annotations,
  Conferenc, Database)
• Image information
• Full Screen.

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Advances features Plug-Ins

• There is developed solution to implement
  Plug-Ins, the advanced image processing tools
  according to doctors order.
• We used to code image processing algorithms in
  advanced software package MATLAB.
• There is designed algorithm and implemented in
  MediPAS as the Plug-In the tool for quantative
  analysis of pathology images- Labelling Index
  estimator.

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Advances features teleconferencing

• Conferencing possibilities in MediPAS
• videoconferencing using software and hardware
  (Zydacron) codec
• sending / receiving images
• discussion of image on common desk-top
• synchronised drawing on the same image from both
  sites
• storing drawings and notes into database.

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Peripherals needed for conferencing
Web camera with USB interface Headset with
microphone Internet connection
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(No Transcript)
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Plug-In for pathology Labelling Index
estimator
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Labelling index
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Plug-In for pathology Labelling Index
estimator
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Plug-In for pathology Labelling Index
estimator
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WEB based service for pathology
http//www.bmii.ktu.lt/webservices/pathology/
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Entrance to WEB service
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After image upload
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LI estimation results
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Applet window for selection of region of interest
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Selection of region of interest
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Conclusions

• MediPAS software assists doctors in
• Acquiring of digital images
• Reviewing and management of images
• Organising of visual and text data in databases
  for further research
• Automatic quantitative analysis of images using
  specialised Plug-Ins
• WEB service for pathology assist doctors in
• Making quantative assesment of pathology images
• Releases doctors from instalation and maintanence
  troubles
• Easy to upgrade.

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Conclusions

• MediPAS software enables cheap and simple
  communications on medical expertise network to
  consult complicated interpretation of pathology
  images.
• We hope that MediPAS software will contribute to
  mutual collaboration on pathology network.