Brain multi-tracer-agent metabolism parameter estimation method based on Logan Plot

Abstract

The invention discloses a brain multi-tracer-agent metabolism parameter estimation method based on the Logan Plot. The method comprises the steps of (1) collecting and obtaining TAC data of a brain specific region, (2) conducting PCP preprocessing on the collected data, (3) according to one single trace agent, utilizing TAC data of a reference region for replacing blood sampling data directly through the Logan Plot linear fitting method so as to estimate a required DVR value, according to dual tracer agents, separating TAC data of the second kind of tracer agent by the adoption of the sRTM model, and then solving a DVR value corresponding to the second kind of tracer agent through the method of the single tracer agent. According to the brain multi-trace-agent metabolism parameter estimation method based on the Logan Plot, the discomfort caused by traditional blood sampling to a patient can be avoided, accuracy of linear fitting is effectively improved, and estimation accuracy is improved; a dual-tracer-agent physiological metabolism parameter estimation value better than an estimation value obtained through a traditional method can be obtained, so that the result is better applied to actual medical treatment and pharmacological research.

Description

technical field [0001] The invention belongs to the technical field of PET physiological parameter estimation, in particular to a method for estimating brain multi-tracer metabolic parameters based on Logan Plot. Background technique [0002] PET (Positron emission tomography, positron emission tomography) is a medical imaging technology based on nuclear physics and molecular biology. valid basis is provided. PET essentially images the concentration distribution of drugs in the patient's body. The radioisotope-labeled drugs injected into the patient's body enter the circulatory system through the blood, and these substances will form a certain concentration distribution in various tissues and organs in the human body. Due to the short half-life of radioactive isotopes and their extreme instability, they will soon decay, and the positrons released during the decay will undergo an annihilation reaction with nearby free electrons, producing a pair of nearly opposite directions...

AI Technical Summary

Problems solved by technology

[0004] For the existing brain PET, there are two defects: first, the existing brain PET can only measure a single type of neuropharmacological parameters, that is, only one tracer, which makes the existing brain PET unable to Provide all the parameters describing the neural environment corresponding to specific physiological activities; secondly, when estimating brain neurometabolic parameters, the existing brain PET requires blood sampling, and blood sampling is an invasive physiological detection method. The method will not only cause discomfort to the patient but also waste a lot of human resources and time. In addition, any mistake in blood sampling will have a huge impact on the estimation of brain physiological parameters.

[0005] In addition, due to various errors and interferences in the process of acquisition and reconstruction of brain PET data, various noises inevitably exist in brain PET data.

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