Monday, December 6, 2010

National "973" plan projects focus on Imaging diagnosis and disease early warning system

Recently, the Ministry announced the 2010 annual national basic research and development plan ("973") projects list.

Of these, the "modern medical imaging and analysis of high dimensional image key scientific issues research" and "cardiovascular vulnerable plaque for high-resolution imaging identification and risk assessment, early warning system for major issues of" successful project. These projects on our independent research and development in emerging high-technology medical imaging equipment and system software, as well as major disease early warning and medical technology.

From diagnostic imaging to intraoperative Imaging

Southern Medical University biomedical engineering professor Chen Wu-fan where Dean once again become "973" project Chief Scientist, is also the only school twice honored experts — recently, led by Professor Chen Wu-fan where declared national "973" project "modern medical imaging and analysis of high dimensional image key scientific issues of" successful project.

The project consists of the Southern Medical University, Zhejiang University, Southeast University, Beijing Institute of technology, Shanghai Jiao Tong University, Beijing Jiaotong University, Shandong University, Tianjin Medical University General Hospital Joint Declaration of 8 units, declare the project funds nearly 40 million Yuan.

According to experts, disease diagnosis and precisely the digital analysis of the safe and effective treatment of precise clinical importance, and modern digital imaging equipment and image analysis software system is an important guarantee of modern medical equipment industry in the mainstream products, industry leading and guiding function.

Currently, the global digital medical imaging equipment market mainly by the United States, Japan, Germany and other countries of the monopoly of the few international corporations, our industry because of weak, insufficient technical reserves, the low innovative capacity, resulting in products mostly lack of independent intellectual property rights. In addition, most emerging 256 slice CT, 320 CT, in just a few seconds to complete the full body scanning, access to thousands of images, their requirements on theoretical models and methods, two-dimensional and three-dimensional models to the 3D or four-dimensional model, thus need image analysis of mathematical models and optimization theory, in-depth innovation.

"Modern medical imaging and analysis of high dimensional image key scientific issues of" committed to two-dimensional and three-dimensional models to promotion of fuzzy random to 3D or 4-d, will develop a single constraint to multiple constraints, linear problems to the nonlinear problems, diagnostic imaging methods will be developed to intraoperative imaging solution, and developing clinical lesion intelligent recognition of basic research to high-quality, fast, secure medical imaging and a wealth of medical image analysis problems on the breakthrough.

The project is the international leading-edge source of innovation, and is consistent with our independent research and large-scale photographic equipment (in particular for imaging equipment) and image analysis software for significant demand for science, engineering, medical research interdisciplinary basis. Its findings not only to promote the science, engineering, medicine comprehensive further development of cross-discipline is important, also for our independent research and development in emerging high-technology medical imaging equipment and system software provides theoretical and technical support.

Implementation of major diseases and early warning

Coronary heart disease, myocardial infarction and stroke for the sudden onset of disease.

These diseases cause the death of China's one every ten seconds, this is equivalent to 10 day repeat itself once Wenchuan earthquake losses brought about by staff. Achieve significant disease early warning very critical and urgent. By Advanced Technology Research Institute, Chinese Academy of Sciences Shenzhen lead organizations to the hospital medical workers Institute Professor Zhang Ting, Chief Scientist of the national "973" project "cardio vulnerable plaque for high-resolution imaging identification and risk assessment, early warning system for major issues of basic research" research by high-precision multi-modality medical imaging and sensing monitoring technology, the realization of these major diseases of early warning, early diagnosis.

The project's successful projects implemented in Shenzhen's major National Science Foundation research project zero breakthrough, marks a fundamental study on the level of Shenzhen has scaled new heights, with Shenzhen building innovative city one of the important results.

The project combined the fuwai cardiovascular disease such as Xi'an Jiaotong University Hospital, 6 domestic high-level scientific research units, gathering of the Chinese Academy of Sciences, the International Institute of electrical and electronics engineers Jesuits (IEEE Fellow), national outstanding young Fund winners, as well as "100", "double-hundred" finalists, 50 + academic backbone.

According to experts, the lack of accurate and reliable detection and identification methods, both at home and abroad for cardiovascular vulnerable plaque of a prospective study of the extremely limited, thus seriously constrained by vulnerable plaque rupture caused by acute cerebrovascular disease early detection, diagnosis and treatment.

An in-depth study of cardiovascular vulnerable plaque rupture mechanisms, creation of vulnerable plaque rupture risk assessment and cardiovascular disease early warning system, with urgent significance.

It is understood that the "cardio vulnerable plaque for high-resolution imaging identification and risk assessment, early warning system for major issues of basic research" in the next 5 years will focus on vulnerable plaque identification and early warning of significant demand, address two key scientific issues: cardiovascular vulnerable plaque structure, composition, biological markers for high-resolution imaging theory and method; vulnerable plaque rupture mechanisms, quantitative risk assessment and vulnerability with personalized early warning.

The projects will be as acute cerebrovascular disease provide real-time monitoring and early warning and critical technology.

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