Scars collaborative telediagnosis platform using adaptive image flow

Rami Kassab

doi:10.3233/ICA-120415

Scars collaborative telediagnosis platform using adaptive image flow

2013-01-01

11

OA

AI

R

Rami Kassab

J

Jean‐Christophe Lapayre *

DOI：10.3233/ICA-120415

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Telemedicine has been developed to allow practitioners to remotely connect with patients and with other medical staff. We propose a new system (hardware and software), named DICODERM (COllaborative DIagnosis of DERMatosis), which makes it possible to monitor the evolution of scars after the excision of a tumorous dermatosis (like melanoma). The hardware part of this system is composed of a new optical innovative probe with which two types of images can be acquired simultaneously: anatomic with a white light image and functional with a fluorescence image (using autofluorescence from the protoporphyrin within the cancer cell). The software part is composed of two components: the image stitching component, and the collaborative/adaptive layer component. Our system creates a panoramic view of these scars obtained by stitching a sequence of small images. We conducted experiments for different image stitching algorithms to define the best solution. We also deployed a second component: a collaborative system layer which allows to remotely share images of scars and to adapt these images. We also made the system adaptive to communicate across different client platforms. We conducted experiments to compare the exchange of images with or without adaptation: these tests showed the efficiency of our layer.

Keyword:

Adaptability

collaborative medical telediagnosis

stitching

telemedicine

scar monitoring

Scars collaborative telediagnosis platform using adaptive image flow

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