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.

该 RIA 提案旨在开发使用多种模式（MRI、PET 和 CT）组合心脏图像的技术。 由于分辨率、大小和方向的差异，组合此类图像很困难。 所提出的技术是新颖的；它使用多层神经网络来执行图像处理任务。 如果成功，该项目将改进生物医学图像分析方法，从而潜在地改进医学诊断。