Multi-Sensor Fusion of Biomedical Images

生物医学图像的多传感器融合

• 批准号: 9011229
• 负责人: Raj Acharya
• 金额: $ 5.89万
• 依托单位: SUNY at Buffalo
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1990
• 资助国家: 美国
• 起止时间: 1990-08-01 至 1993-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9011229&HistoricalAwards=false
• 关键词: Multi; Sensor; Fusion; Biomedical; Images

This RIA proposal is to develop techniques to combine images of the heart using a variety of modalities: MRI, PET and CT. Combining such images is difficult because of differences in resolution, size and orientation. The proposed technique is novel; it uses multilayer neural networks for the image processing tasks. If successful, this project will result in improved methods of analyzing biomedical images, leading to potential improvements in medical diagnosis.

本RIA提案是开发技术，结合使用各种模式的心脏图像：MRI， PET和CT。由于分辨率、大小和方向的差异，合并这些图像很困难。提出的技术是新颖的；它使用多层神经网络来完成图像处理任务。如果成功，该项目将改进分析生物医学图像的方法，从而导致医学诊断的潜在改进。