This paper describes a non-invasive technology to allow measurement and monitoring of nonhealing chronic wounds. These lesions significantly impair the life quality of millions of people. Their diagnosis and treatment constitute a challenge in patient rehabilitation, since a variety of classification systems is available and highly skilled and experienced personnel is required. In this context, the proposed system involves the integration of a 3D scanner with a thermal imager, permitting the acquisition of geometrical data, which include both chromatic texture and temperature information. A prototype tool for the automatic detection and measurement of damaged skin areas has been developed by segmenting both color and thermal images. The described methodology, which constitutes an objective and consistent approach to automated diagnosis, significantly increases the efficiency and monitoring capabilities of medical experts. The technology has been clinically experienced in medical environments. The physicians confirmed that this prototype tool can be a valuable support in their work improving the quality of disease diagnosis and prediction of healing.
3D bio-modelling of ulcer lesions for disease diagnostic
BARONE, SANDRO;PAOLI, ALESSANDRO;RAZIONALE, ARMANDO VIVIANO
2008-01-01
Abstract
This paper describes a non-invasive technology to allow measurement and monitoring of nonhealing chronic wounds. These lesions significantly impair the life quality of millions of people. Their diagnosis and treatment constitute a challenge in patient rehabilitation, since a variety of classification systems is available and highly skilled and experienced personnel is required. In this context, the proposed system involves the integration of a 3D scanner with a thermal imager, permitting the acquisition of geometrical data, which include both chromatic texture and temperature information. A prototype tool for the automatic detection and measurement of damaged skin areas has been developed by segmenting both color and thermal images. The described methodology, which constitutes an objective and consistent approach to automated diagnosis, significantly increases the efficiency and monitoring capabilities of medical experts. The technology has been clinically experienced in medical environments. The physicians confirmed that this prototype tool can be a valuable support in their work improving the quality of disease diagnosis and prediction of healing.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
