Assessing diabetic foot injury based on 3D image technology

Due to the lack of stereoscopic image retrospective methods, the traditional measurement of ulcer area and depth is inconvenient and imprecise. There are some deficiencies in the current assessment of diabetic foot injury. Therefore, a method based on image recognition technology to obtain quantitative data to assess the severity of injury is proposed. Firstly, a three- dimensional (3D) reconstruction system is invented, which collects data driven by a mechanical drive system through a depth camera with infrared light source; secondly, the 3D reconstruction algorithm based on incremental iteration is used to reconstruct the set model. Then, the texture generation algorithm is used to optimize the model; finally, a foot model is printed by 3D printing technology, and the validity of the system is verified by comparing the original model data with the reconstructed model data. The accuracy of the 3D image system is higher than that of the two-dimensional (2D) photos.

[1]  F. W. Wagner,et al.  The Dysvascular Foot: A System for Diagnosis and Treatment , 1981, Foot & ankle.

[2]  Zhengyou Zhang,et al.  A Flexible New Technique for Camera Calibration , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[3]  Sebastian I Wolf,et al.  A marker placement laser device for improving repeatability in 3D-foot motion analysis. , 2016, Gait & posture.

[4]  E. Sella,et al.  Imaging modalities of the diabetic foot. , 2003, Clinics in podiatric medicine and surgery.

[5]  Jörg Peters,et al.  The simplest subdivision scheme for smoothing polyhedra , 1997, TOGS.

[6]  Wagner Fw.  The Dysvascular Foot: A System for Diagnosis and Treatment: , 1981 .

[7]  Fabio Morbidi,et al.  Easy-to-Use and Accurate Calibration of RGB-D Cameras from Spheres , 2013, PSIVT.

[8]  Marc Levoy,et al.  A volumetric method for building complex models from range images , 1996, SIGGRAPH.

[9]  D. Armstrong,et al.  Classification of diabetic foot wounds. , 1996, The Journal of foot and ankle surgery : official publication of the American College of Foot and Ankle Surgeons.

[10]  D. Armstrong.  The University of Texas Diabetic Foot Classification System. , 1996, Ostomy/wound management.

[11]  J. Black,et al.  The Society for Vascular Surgery Wound, Ischemia, and foot Infection (WIfI) classification system correlates with cost of care for diabetic foot ulcers treated in a multidisciplinary setting , 2017, Journal of vascular surgery.

[12]  Patricia Ladret,et al.  The blur effect: perception and estimation with a new no-reference perceptual blur metric , 2007, Electronic Imaging.

[13]  L. Lavery,et al.  Effectiveness of the diabetic foot risk classification system of the International Working Group on the Diabetic Foot. , 2001, Diabetes care.

[14]  D. Mooney,et al.  Three-dimensional human tissue models that incorporate diabetic foot ulcer-derived fibroblasts mimic in vivo features of chronic wounds. , 2015, Tissue engineering. Part C, Methods.

[15]  Daniel Cremers,et al.  Real-Time Camera Tracking and 3D Reconstruction Using Signed Distance Functions , 2013, Robotics: Science and Systems.

[16]  Vladlen Koltun,et al.  Color map optimization for 3D reconstruction with consumer depth cameras , 2014, ACM Trans. Graph..