Computer aided cardiac image diagnosis

我们建议开发一个基于云的信息系统，用于计算机辅助和全自动的计算机辅助心脏图像诊断。心脏病被认为是世界范围内的重大医学问题。非侵入性心脏成像（如心脏CT和MRI）为疾病的诊断和跟踪提供了一个很好的工具。然而，信息量巨大（例如，动态心脏MRI约为300 M-1G。）与每个扫描及其所有先前扫描相关联。因此，迫切需要半自动和全自动的智能工具来帮助医生进行日常诊断、纵向分析和人群研究。我们的研究将使加拿大心脏保健提供者能够优化他们的服务和资源;将大大减少猝死，提高老年人的生活质量。此外，它将进一步提高加拿大和工业合作伙伴在云计算，成像和大数据研究方面的国家和国际声誉;鼓励工业和学术单位共同努力解决具有挑战性的问题，这已被证明是HQP的有效培训环境。

We propose to develop a cloud based information system for computer facilitate and full automatic computer aided cardiac image diagnosis. Cardiac disease is considered as a significant medical problem worldwide. Non-invasive cardiac imaging (e.g. Cardiac CT and MRI) has offered a great tool to diagnosis and tracking of diseases. However huge amount of information (e.g. dynamic cardiac MRI is about 300M-1G.) is associate with each scan and all their previous scans. There is urgent need of both semi- and full-automatic intelligent tool to help physician on their daily diagnosis, longitude analysis and population study. Our research will enable Canadian cardiac healthcare provider to optimize their services and resources; will greatly reduce sudden death and improve the quality of life for senior population. Moreover it will further enhance the national and international reputation of Canada and industrial partners for cloud, imaging and big data research; encourage industry, and academic units to work together for challenging problems, which has been proven to be an efficient training environment for HQP.