Non-Invasive Skin Cancer Diagnosis Using NIR Multi-Spectral Image Analysis

9724991 Kang该提案正在研究建立一种安全、非侵入性和快速的计算机辅助诊断技术，用于利用近红外（NIR）多波长信息（间隔50 nm的450-800 nm的8个波长）检测恶性皮肤肿瘤。 研究目标是：（1）早期发现恶性皮肤肿瘤，这是医生不经活检不能确认的，和（2）从患有非典型痣综合征或发育不良痣综合征的患者的多个可疑痣（数百个）中鉴定恶性肿瘤。 初步研究已经完成，使用实验组织模型与皮肤肿瘤模型在四个不同的血红蛋白浓度。 实验结果表明，多光谱分析的近红外图像可以区分四个实验模型。 规划补助金旨在将这项研究进行到可以提交定期提案的程度。 ***

9724991 Kang This proposal is on research to establish a safe, non- invasive, and rapid computer aided diagnostic technique for the detection of malignant skin tumors utilizing near infrared (NIR) multiple wavelength information (8 wavelengths from 450-800 nm at a 50 nm interval). The research objectives are: (1) early detection of malignant skin tumors, which can not be confirmed by the physician without biopsy, and (2) malignancy identification from multiple suspicious moles (hundreds) from patients with atypical mole syndrome or with dysplatic nevus syndrome. A preliminary study has been completed using experimental tissue models with skin tumor models at four different hemoglobin concentrations. The experimental results suggest that multi-spectral analysis of NIR images can differentiate the four experimental models. The planning grant seeks to carry this research to a point where a regular proposal can be submitted. ***