3D thermography imaging standardization technique for inflammation diagnosis

We develop a 3D thermography imaging standardization technique to allow quantitative data analysis. Medical Digital Infrared Thermal Imaging is very sensitive and reliable mean of graphically mapping and display skin surface temperature. It allows doctors to visualise in colour and quantify temperature changes in skin surface. The spectrum of colours indicates both hot and cold responses which may co-exist if the pain associate with an inflammatory focus excites an increase in sympathetic activity. However, due to thermograph provides only qualitative diagnosis information, it has not gained acceptance in the medical and veterinary communities as a necessary or effective tool in inflammation and tumor detection. Here, our technique is based on the combination of visual 3D imaging technique and thermal imaging technique, which maps the 2D thermography images on to 3D anatomical model. Then we rectify the 3D thermogram into a view independent thermogram and conform it a standard shape template. The combination of these imaging facilities allows the generation of combined 3D and thermal data from which thermal signatures can be quantified.

[1]  Akihiro Igata,et al.  Data-processing method for standardization of thermographic diagnosis , 2000, Proceedings of the 22nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (Cat. No.00CH37143).

[2]  Stuart T. Smith Modelling Hot Bodies: Combined real-time 3D and Thermal Imaging for Medical Applications , 2002 .

[3]  Xiangyang Ju,et al.  Applying mesh conformation on shape analysis with missing data , 2004, Proceedings. 2nd International Symposium on 3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004..

[4]  Berndt Ströberg The Use of Thermography in Equine Orthopedics , 1974 .

[5]  R. Lawson,et al.  Breast Cancer and Body Temperature. , 1963, Canadian Medical Association journal.

[6]  S. J. Marshall,et al.  Human body 3D imaging by speckle texture projection photogrammetry , 2000 .

[7]  Zhili Mao,et al.  Constructing dense correspondences to analyze 3D facial change , 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

[8]  Timothy F. Cootes,et al.  Active Appearance Models , 2001, IEEE Trans. Pattern Anal. Mach. Intell..

[9]  William E. Lorensen,et al.  Marching cubes: A high resolution 3D surface construction algorithm , 1987, SIGGRAPH.

[10]  R. Lawson Implications of surface temperatures in the diagnosis of breast cancer. , 1956, Canadian Medical Association journal.

[11]  Jean-Christophe Nebel,et al.  3 D THERMOGRAPHY FOR QUANTIFICATION OF HEAT GENERATION RESULTING FROM INFLAMMATION THERMOGRAPHIE , 2003 .

[12]  Xiangyang Ju,et al.  CONFORMING GENERIC ANIMATABLE MODELS TO 3D SCANNED DATA , 2001 .