Determination and acquisition method of normalized correction factor and medical imaging method

Abstract

The invention discloses a method for obtaining a normalized correction factor, which determines the normalized correction factor of the response line where the single channel is located based on the count rate of the single channel, including the following steps: Carry out actual data collection at a specified time, the volume of the prosthesis covers the target imaging field of view; S2 based on the actual data, obtain the actual event count SR of the i-th and j-th single channels on any one of the response lines i 、SR j ; S3 based on the same activity and scan time, theoretical data collection for the same size of the prosthesis; S4 based on the theoretical data, to obtain the theoretical event count ST of the i, j single channel on the corresponding response line i , ST j ; S5 determines the response line normalization correction factor NS ij = NS ij =(ST i *ST j ) / (SR i *SR j ), the normalized correction factor determined by this method is based on the counting rate of a single channel for statistics, which requires low data volume and can better reflect the detector characteristics of the system.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method for determining and acquiring a normalized correction factor and a medical imaging method. Background technique [0002] PET is the abbreviation of Positron Emission Tomography in English. The clinical imaging process is as follows: label the radionuclides (such as F-18, etc.) in the subject's body. Allow the subject to perform a PET scan within the effective field of view of the PET. The positrons emitted by the radionuclide move about 1 mm in the body and combine with the negative electrons in the tissue to produce annihilation radiation, producing two gamma photons with equal energy (511KeV) and opposite directions. The detection device of the PET system can detect the gamma photon pair, and then analyze the existence of positrons, and reconstruct the PET image reflecting the metabolism of various tissues of the organism, and obtain the concentration distr...

AI Technical Summary

Problems solved by technology

This effect will be very obvious for low counts, when there are only a few tens or even a few samples on each LOR, we can't even tell whether these events are noise

Therefore, when using the existing normalization correction method to correct the scanned PET data, there are the following two problems: 1. The response line conforms to the efficiency fluctuation, and the consistency is poor after normalization correction according to the existing method; 2. At present, the amount of sampled data is insufficient, and it is difficult to form an accurate normalized correction factor

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