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

使用近红外多光谱图像分析进行非侵入性皮肤癌诊断

• 批准号: 9724991
• 负责人: Kyung Kang
• 金额: $ 1.8万
• 依托单位: University of Maryland Baltimore County
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-09-15 至 2000-02-29
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9724991&HistoricalAwards=false
• 关键词: Non; Invasive; Skin; Cancer; Diagnosis

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. ***

9724991 Kang 该提案旨在研究建立一种安全、非侵入性且快速的计算机辅助诊断技术，利用近红外 (NIR) 多波长信息（450-800 nm 的 8 个波长，间隔 50 nm）检测恶性皮肤肿瘤。 研究目标是：（1）早期发现恶性皮肤肿瘤，未经活检，医生无法确诊；（2）从非典型痣综合征或发育不良痣综合征患者的多个可疑痣（数百个）中进行恶性肿瘤鉴定。 使用实验组织模型和四种不同血红蛋白浓度的皮肤肿瘤模型完成了一项初步研究。 实验结果表明，近红外图像的多光谱分析可以区分四种实验模型。 规划拨款旨在将这项研究进行到可以提交定期提案的程度。 ***