Reverse Engineering (RE) is systematic evaluation of a part with the purpose of replication and improvement. Recently, its application has extended into the domain of biomedical engineering, where it is utilized in retrieving ulcer wound data from patient's body. Response to ulcer treatment whether the wound is healing or deteriorating is indicated by the size and volume of leg ulcer wound. Currently dermatologists assess the ulcer wound qualitatively which is subjective and differ between one dermatologist to another. This research focuses on applying RE to conduct a quantitative assessment of ulcer wounds and perform a comparative analysis using different algorithms for solid reconstruction and volume computation. This study also embarks on comparative analysis between two data acquisition techniques, laser triangulation and structured light method. Data acquisition is performed by utilizing non-contact optical 3D techniques such as laser triangulation and structured light method. Solid reconstruction is accomplished by midpoint projection algorithm and convex hull algorithm. Volume for ulcer wound models is computed using the volume computation algorithm which is integrated with solid reconstruction algorithms. A comparative analysis based on the results shows that structured light is more efficient than laser triangulation for data acquisition. The results also testify that convex hull algorithm is more reliable and accurate than midpoint projection algorithm for wounds with irregular boundary. © 2013 Asian Network for Scientific Information.