MVPR UKu JoY

IMAGERET
Optimal Detection and Decision-Support Diagnosis of Diabetic Retinopathy

PAPVISION logo
"Medical Data Acquisition and Image Processing"

Goals

The ultimate goal of the Imageret project is to develop new imaging hardware and novel image processing methods to efficiently and reliably assist in medical decision making in diabetic retinopathy diagnosis.

The goal can be achieved by combining the knowledge from medical science, optics, and image processing and via the scientific research provide new results to be used in medics. Furthermore, by educating new young masters and doctors within the field of medical image processing and medical image acquisition the future requirements of the health care can be met.

Funding:Research co-operation
  1. Tekes
  2. Kuomed Oy
  3. Mawell Oy
  4. Perimetria Oy
  5. Santen Oy
  1. Department of Ophthalmology, University of Kuopio (Prof. Uusitalo)
  2. Color Research Laboratory, University of Joensuu (Prof. Parkkinen)
  3. Communications and Signal Processing (Medical Image Processing Group), Imperial College, London, UK (Prof. Petrou)
  4. Department of Computer Science, University of Bristol, UK (Dr. Mirmehdi)
  5. YTI Research Centre, Mikkeli Polytechnic (Research manager Rossi)

Sub-projects

  1. DiaRetDB -
    Standard Diabetic Retinopathy Database
  2. FunIA -
    Fundus Image Analysis
  3. FunImaging -
    Development of Fundus Imaging
  4. DiagSupport -
    Support of Diagnosis and Decision Making
The following project preceded ImageRet:
  1. RETINA - Retinal Image Analysis

News

Project received significant funding from the FinnWell Technology Program coordinated by the Finnish Funding Agency for Technology and Innovation, Tekes, and from the industrial partners.

The results of ImageRet were presented in a public closing seminar on Wednesday, January 14, 2008 in Tampere. The presentation were given by prof. Heikki Kälviäinen/LUT, Prof. Hannu Uusitalo/KuY/TaY, MSc Tomi Kauppi/LUT, and MSc Pauli Fält/UJo.

The project officially ended February 28, 2009. The scientific results will be finished during the year 2009. During the project, a prototype of a new eye fundus camera was developed, several eye fundus image databases related to diabetic retinopathy were released, and automatic image analysis methods were developed. The technology and knowhow is being transferred to product development.

Contact information

Lappeenranta University of Technology
Heikki Kälviäinen first.last@lut.fi WWW Professor
Lasse Lensu first.last@lut.fi WWW Project manager, post-doc researcher
Joni Kämäräinen first.last@lut.fi WWW Post-doc researcher
Tomi Kauppi first.last@lut.fi WWW Post-graduate researcher
University of Kuopio
Hannu Uusitalo first.last@uta.fi WWW Research director
Iiris Sorri first.last@uku.fi WWW Professor
Valentina Kalesnykiene first.last@uku.fi WWW Post-graduate researcher
University of Joensuu
Jussi Parkkinen first.last@cs.joensuu.fi WWW Professor
Markku Hauta-Kasari first.last@ifc.joensuu.fi WWW Director
Jouni Hiltunen first.last@ifc.joensuu.fi WWW Laboratory engineer
Pauli Fält first.last@ifc.joensuu.fi WWW Post-graduate researcher

Download

Source code / executables

  1. ImgAnnoTool - Image Annotation Tool

Data sets

  1. DIARETDB0 - Standard Diabetic Retinopathy Database (depricated)
  2. DIARETDB1 - Standard Diabetic Retinopathy Database (depricated)
  3. DIARETDB1 V2.1 - Standard Diabetic Retinopathy Database

Links to other resources

General information
Current Perspectives of Diabetic RetinopathyVery good description of the problem we are dealing with (with images)
European Vision ResearchHealth science oriented portal for vision research in EU
The Association for Research in Vision and OphthalmologyHealth science oriented portal for vision research in USA and worldwide
Other research groups
Cercia Center, University of BirminghamTaken spectral fundus images (see facilities)
Kestrel CorporationInvestigates multi-spectral fundus imaging device
School of Computer Science, University of BirminghamImage analysis, retinopathy, spectral imaging
Databases
MessidorDiabetic retinopathy evaluation
Conferences and meetings
Engineering the Eye II: Imaging the RetinaRetinal function, retinal disease, and advances in optical imaging
Medical Image Data Types and XML
David Clunie's Medical Image Format SiteYou find everything you need to know
XML Validation FormCan be used to validate XML code
HL7Standardisation organisation for healthcare IT
Multiple expert annotation fusion
STAPLESimultaneous Truth and Performance Level Estimation
Medical imaging libs and software
VTKVisualization Toolkit
ITKITK Insight Toolkit
KitwareVarious usefull toolkit and libraries
TeemVarious tools to process medical image data (e.g. NRRD format)

Documentation

Do not hesitate to to contact authors (e-mail, etc.) in order to retrieve copies or reprints of the following publications.

  1. Articles in international compilation works and in international scientific conference proceedings with referee practice
    1. Tomi Kauppi, Valentina Kalesnykiene, Joni-Kristian Kämäräinen, Lasse Lensu, Iiris Sorri, Asta Raninen, Raija Voutilainen, Hannu Uusitalo, Heikki Kälviäinen, Juhani Pietilä, Proc. of the 11th Conf. on Medical Image Understanding and Analysis (MIUA2007), DIARETDB1 diabetic retinopathy database and evaluation protocol, (2007) pp. 61-65,
    2. Tomi Kauppi, Valentina Kalesnykiene, Joni-Kristian Kämäräinen, Lasse Lensu, Iiris Sorri, Asta Raninen, Raija Voutilainen, Hannu Uusitalo, Heikki Kälviäinen, Juhani Pietilä, Proc. of the British Machine Vision Conference (BMVC2007), The DIARETDB1 diabetic retinopathy database and evaluation protocol, (2007) pp. 252-261, Vol. 1
    3. Tomi Kauppi, Heikki Kälviäinen, Proc. of Advanced Concepts for Intelligent Vision Systems (ACIVS\'08), Simple and Robust Optic Disc Localisation Using Colour Decorrelated Templates, (2008) pp. 719-729,
    4. Tomi Kauppi, Joni-Kristian Kämäräinen, Lasse Lensu, Valentina Kalesnykiene, Iiris Sorri, Heikki Kälviäinen, Hannu Uusitalo, Juhani Pietilä, Scandinavian Conf. on Image Analysis (SCIA2009), Fusion of multiple expert annotations and overall score selection for medical image diagnosis, (2009) pp. 99-108,
    5. Tomi Kauppi, Lasse Lensu, Joni-Kristian Kämäräinen, Pauli Flt, Markku Hauta-Kasari, Jouni Hiltunen, Valentina Kalesnykiene, Iiris Sorri, Hannu Uusitalo, Heikki Kälviäinen, Juhani Pietilä, Medical Physics and Biomedical Engineering World Congress (WC2009), The role of model-based illumination correction in processing colour eye fundus images, (2009)
  2. Scientific monographs
    1. Markku Kuivalainen, Master´s thesis, Retinal image analysis using machine vision, (2005) pdf (12.57 MB)
    2. Tomi Kauppi, Ph.D thesis, Eye Fundus Image Analysis for Automatic Detection of Diabetic Retinopathy, (2010) pdf (4.17 MB)
  3. Other Scientific Publications
    1. Jari Forsström, Valentina Kalesnykiene, Markku Kuivalainen, Iiris Sorri, Hannu Uusitalo, Joni-Kristian Kämäräinen, Automated Pattern Recognition for the Detection of Diabetic Changes in Digital Fundus Images, (2005)
    2. Tomi Kauppi, Valentina Kalesnykiene, Lasse Lensu, Joni-Kristian Kämäräinen, Iiris Sorri, Heikki Kälviäinen, Juhani Pietilä, Hannu Uusitalo, Toward systemized collection of expert knowledge for fundus images in diabetic retinopathy, (2006)
    3. Tomi Kauppi, Valentina Kalesnykiene, Lasse Lensu, Joni-Kristian Kämäräinen, Iiris Sorri, Asta Raninen, Raija Voutilainen, Heikki Kälviäinen, Juhani Pietilä, Hannu Uusitalo, Asiantuntijatiedon käyttö silmänpohjakuvien automaattisessa tulkinnassa, (2007)
    4. Lasse Lensu, Voidaanko silmänpohjakuvien tulkinta automatisoida?, (2007)