Future medical imaging will be an important part of precision medicine. Of medicine of the National Academy of Sciences (IOM) in November 2011 issued a report, with particular emphasis on accurate medicine is built on the understanding of individual genes, environment, way of life based on the model of disease treatment and prevention methods. We use life science to study this field, that is, in the protein, gene, or at the molecular level, to explore how much, whether it can be seen, what is the role of protein and gene.

Precision medicine, first of all, for the individual, to have the mark, but also have a pair, while the support of evidence-based medicine, and then the treatment of large data. Commonly used in biomedical field. Here we can see the electrons, atoms, molecules, DNA, cells, bees, mouse and human, the best resolution of PACS in 5 mm, CT and MRI in about 1600, or in the 0.1-0.2 mm, optical microscope is a little smaller, electron microscopy is smaller. Today, the development of the gene, gene sequencing DNA this piece, optical and electronic can observe the virus.

Obviously our PACS gives us an image of the storage and transmission, does not include our traditional medical imaging technology and the use of gene matching. That is to say gene and protein data is a prerequisite for PACS, medical development before a is no disease, after a period of do is what disease, in what place; image to be solved is in what place, so the PACS in the aspects of image processing is worthy of attention. We give some attention to gene sequence, gene sequencing, protein and so on, which can be observed and compared under the molecular image.

Generally speaking, medical imaging has been developed for 120 years the, from the beginning of the 1970s, for more than 40 years. We mainly refers to digital image, digital image for PACS a good opportunity, so our transmission can so smooth. From the perspective of medical digital imaging, the main problems are spatial resolution, contrast resolution, temporal resolution and energy resolution. PACS for the image around, is to solve these four resolution.

From a clinical point of view, PACS mainly to solve three problems, the first tumor, second cardiovascular and cerebrovascular diseases, third senile dementia. Query the NIS of the United States as well as the domestic fund research are basically the three based, PACS is also the mainstream of the disease and the evolution of the disease. Here to give us the most difficult is the time resolution and energy resolution, that is to say dynamic. Again, with the process of function and metabolism, pop and quantization on PACS put forward a new request. As for the big data, the main thing is to see the metabolism of pop and quantization, especially quantitative. Images of the 120 years of development though to solve the problem of resolution, but it is based on morphological indirect tools, not yet diagnosed in histologic and molecular level. This is what we are now medical imaging, knowing where the disease, PACS to solve the problem is where the disease, not to solve the problem of what is the disease.

In biomedical era, we are faced with three directions: the first point is the individual. Our high level of hospital can mix the grass-roots hospital of the film, but only a line, without forming a network, can not be deployed to each other, small hospitals can not get a third grade class-A hospital of the film, so this is a challenge to the PACS. We really want to do individual, first of all, we must change our mode of medical treatment, from family to go to the hospital to family, circle, diagnosis treatment follow-up, the two are in the family just PACS is not distributed at both ends, then there is no way to arouse the participation of society and family involvement. Similarly, we attach great importance to the network construction, but we actually completed is a line, above below, under the not above, still do not have a shuttle of, not to mention the whole network deployment, this is barriers exist. And our standardization is still to be further built.

Second, the PACS should pay attention to the integration of imaging diagnosis, also is the Intergrate, is the laboratory, Department of Pathology, image synthesis or is the integration of molecular laboratory, we do not have this ability, only by PACS or TMT to solve this problem. So PACS and TMT in the future for cancer is a comprehensive medical imaging tools. In the past, we are take information center to integrate information. Now we have integrated information center can call for the Intergrate information, we put all the things are integrated together, but we still in the traditional ideas established a center only, so this is we consider.

Third, from the angle of precision medical analogy military in the 18th and 19th centuries, generally through a duel to settle, now mainly rely on the missile. There is also a need for GPS positioning, so positioning in the medical field is by PACS to do, only PACS can solve the positioning problem, TMT technology gave precise medicine a lot of support, this is I will describe below. As for the reason, I explain, everyone knows, this is the normal gene. If the gene mutation, you can said to have the disease, a part of the variation in gene by the immune system of their own recovery, another part can not be restored, we put this part in the cancer before the call period canceration, or say is subtle molecular cancer or cancer cells. After all of a sudden proliferation, we can see from cancer to death is 1-3 years, we see the image is from the stage of cancer to death, the scope of genetic testing and protein inspection is not seen. For example, the Hollywood actress Angelina Julie, the doctor told her that a pair of genes with 80% of the possible breast cancer, she chose to remove the breast, this is in the breast is still relatively good solution. But if it is in the Department of Neurology, a pair of genes that may cause disease, may lead to glioma, then it can not be as good as the breast to solve, there is no way to remove. In this case, we greater part do is doing gene and protein data accumulation and contrast, this aspect of work and data storage needs us to do. We want to jump out from the simple images, to meet the needs of today. Of course, we still need to know how much this tumor is, in addition to strengthen the processing of data. If screening for breast cancer. It is found that the abnormal genes and alterations in 100 people set up to check, may find the 20 people sick, but if no gene comparison, just simple to how old to how old people rally to the inspecting may effect is not very ideal. So the integration of information is very important.

In glioma, for example, for the currently used in the classification of gliomas is the classification of the who in 2003, in June this year, we adopt new molecular classification, we can use big data to images of the past are out of tune, then we observed the characteristics and the characteristics and molecular typing have certain relationship. So the PACS can cannot all the data, all features like computer early diagnosis, early out of tune; can not at the same time, the MR or CT images were all out of tune, the PACS to do software personnel makes a request.

For today, we have to drug development, disease treatment, we see a lesion in any place, but we know it already exists, so we can not to take out this part of things, and then we wonder what it is, we'll call you go, let it to mark the place of these lesions. Even with the treatment of drugs to fight in the diagnosis and treatment, that is, targeted therapy, this part of the medical image is not, but the medical image tells us where the disease, followed by the treatment of drugs. This process also requires big data, there is a standard. This is a passion, this passion in fact, is the formation of the drug, data and norms of the building, which is a very important challenge for the future PACS.