TY  - CONF
SP  - 134
AV  - none
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84870683510&doi=10.1109%2fGUT.2012.6344167&partnerID=40&md5=a73812f3e122c7a4534a5c9d317eb3b7
N1  - cited By 2; Conference of 2012 International Conference in Green and Ubiquitous Technology, GUT 2012 ; Conference Date: 7 July 2012 Through 8 July 2012; Conference Code:94311
A1  - Chong, K.K.
A1  - Hani, A.F.M.
A1  - Abdul-Rani, A.M.
A1  - Yap, F.B.B.
A1  - Jamil, A.
ID  - scholars2393
EP  - 138
CY  - Bandung
N2  - In medical applications, 3D information of ulcer wounds are very crucial in measuring the volume of the ulcer cavity. Volume measurement is the most significant criterion in ulcer wound assessment as reduction in wound volume is an indicator of wound healing. Treatment efficacy can be improved and healing period can be shorten if changes in wound parameters are being observed regularly and accurately. 3D skin surface imaging technique is used to replace the conventional measuring method which is qualitative and subjective. Optical and laser scanners are used to obtain the surface scanned of the ulcer wound. Two algorithms for solid reconstruction and volume computation are being proposed, namely midpoint projection and convex hull approximation. Seventeen ulcer models with different wound attributes have been used to assess the suitability and reliability of the algorithms. Using ulcer models with known volume, it is found that midpoint projection is suitable for all the wound type whereas convex hull is suitable for all types of wounds except wounds with elevated base. © 2012 IEEE.
SN  - 9781457721724
Y1  - 2012///
TI  - Volume assessment of various wound attributes models using 3D skin surface imaging
KW  - 3D information; Convex hull; Laser scanner; Measuring method; Midpoint Projection; Skin surfaces; Solid reconstruction; Treatment Efficacy; Volume determination; Wound assessment; Wound healing
KW  -  Computational geometry; Diseases; Imaging techniques; Medical applications; Three dimensional computer graphics; Volume measurement
KW  -  Approximation algorithms
ER  -