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Pregled bibliografske jedinice broj: 830219

Zbornik radova

Autori: Filko, Damir; Cupec, Robert; Nyarko, Emmanuel Karlo
Naslov: Detection, Reconstruction and Segmentation of Chronic Wounds Using Kinect v2 Sensor
( Detection, Reconstruction and Segmentation of Chronic Wounds Using Kinect v2 Sensor )
Izvornik: Procedia Computer Science - 20th Conference on Medical Image Understanding and Analysis (MIUA 2016) / Gale, Alastair ; Chen, Yan (ur.). - Elsevier , 2016. 151-156.
ISSN: 1877-0509
Skup: 20th Conference on Medical Image Understanding and Analysis
Mjesto i datum: Loughborough, Ujedinjeno kraljevstvo, 06-08.07.2016.
Ključne riječi: chronic wound; detection; reconstruction; segmentation; measurement; kinect v2
( chronic wound; detection; reconstruction; segmentation; measurement; kinect v2 )
Sažetak:
The advent of inexpensive RGB-D sensors pioneered by the original Kinect sensor, has paved the way for a lot of innovations in computer and robot vision applications. In this article, we propose a system which uses the new Kinect v2 sensor in a medical application for the purpose of detection, 3D reconstruction and segmentation of chronic wounds. Wound detection is based on a per block classification of wound tissue using colour histograms and nearest neighbour approach. The 3D reconstruction is similar to KinectFusion where ICP is used for determining rigid body transformation. Colour enhanced TSDF is applied for scene fusion, while the Marching cubes algorithm is used for creating the surface mesh. The wound contour is extracted by a segmentation procedure which is driven by geometrical and visual properties of the surface. Apart from the segmentation procedure, the entire system is implemented in CUDA which enables real-time operation. The end result of the developed system is a precise 3D coloured model of the segmented wound, and its measurable properties including perimeter, area and volume, which can be used for determining a correct therapy and treatment of chronic wounds. All experiments were conducted on a medical wound care model.
Vrsta sudjelovanja: Predavanje
Vrsta prezentacije u zborniku: Cjeloviti rad (više od 1500 riječi)
Vrsta recenzije: Međunarodna recenzija
Projekt / tema: IZIP-2014-70
Izvorni jezik: eng
Kategorija: Znanstveni
Znanstvena područja:
Računarstvo,Kliničke medicinske znanosti
URL Internet adrese: http://dx.doi.org/10.1016/j.procs.2016.07.022
Upisao u CROSBI: Damir Filko (damir.filko@etfos.hr), 24. Kol. 2016. u 12:35 sati



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