Fdg-of Pet Non-invasive Quantitative Analysis Method

As an advanced nuclear medicine imaging technology, the positron emission tomography (PET) is widely used in cardiovascular and cerebrovascular disease, tumor diagnosis, curative effect evaluation and the foundation researches since it appeared on the market in the 1970's. It's still one of the most important domains of application on the research of metabolic rate of glucose (MRG1) by using PET. FDG ([¹⁸F]2-fluoro-2-deoxy-D-glucose), as the tracer of measuring MRG1, has the unique advantages on FDG-PET quantitative analysis. By the quantitative measurement of radioactivity of tracer in tissue and blood in vivo, the differences of some functional index could be compared between the normal and abnormal physiological state.In the traditional quantitative analysis methods, the full input function was required in the calculating process. The full input function was generally obtained by continuous arterial blood sampling through a catheter placed in the artery. Continuous arterial blood sampling was not only unacceptable to subjects but also difficult and complex to experiments. So it's difficult to extend its field to clinical experiments because of the invasive nature. To reduce the times of arterial sampling, based on FDG-PET, some improved methods have been proposed in the thesis. These proposed methods are as follows:A noninvasive technique was adopted by using an image-derived input function (IDIF). This method could draw carotid artery region automatically from dynamic images in the brain instead of arterial sampling, and the input function would be fitted well using only three venous samples correction. Consequently the demand of frequent arterial sampling was greatly reduced. In this method, the times and difficulty of arterial sampling were all reduced, and the objectivity and reproducibility was revealed.To acquire input function without any blood sampling, a systemic research was proposed for the correction of IDIF method, including fitting standard input function, averaging the value of parameters and the method of maximum pixel value. The result of calculation shows that the error of fitting standard input function and averaging the value of parameters is great, but the result of maximum pixel value is ideal and this method could be applied on clinical experiments hopefully.