6533b86dfe1ef96bd12ca18f

RESEARCH PRODUCT

Scars Collaborative Telediagnosis Platform Using Adaptive Image Flow

Rami KassabFranck MarzaniChristian PieralliJean-christophe LapayreJean-baptiste Aupet

subject

EngineeringMedical staff[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technology[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingTheoretical Computer ScienceImage stitchingSoftware[ INFO.INFO-DC ] Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC][INFO.INFO-TS]Computer Science [cs]/Signal and Image Processingcollaborative medical telediagnosisArtificial IntelligenceComponent (UML)stitching0202 electrical engineering electronic engineering information engineeringWhite light[INFO.INFO-IM]Computer Science [cs]/Medical Imaging[INFO.INFO-DC] Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]Computer visionLayer (object-oriented design)Adaptation (computer science)[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingscar monitoringImage flow[ INFO.INFO-IM ] Computer Science [cs]/Medical Imagingbusiness.industry020206 networking & telecommunications3. Good healthComputer Science ApplicationsAdaptabilityComputational Theory and Mathematics020201 artificial intelligence & image processingArtificial intelligencetelemedicine[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]business[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingSoftware

description

International audience; 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.

https://hal.archives-ouvertes.fr/hal-01219090