Regional spatial-temporal prior-based dynamic PET reconstruction method

A space-time and regional technology, applied in the field of image reconstruction of medical imaging, can solve problems such as complex optimization algorithms, long calculation time, and difficulty in meeting clinical requirements, and achieve the effect of improving accuracy and signal-to-noise ratio

Inactive Publication Date: 2011-04-13
SOUTHERN MEDICAL UNIVERSITY
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Problems solved by technology

However, the atrioventricular model used for dynamic analysis is nonlinear, which makes the optimization algorithm for direct parameter reconstruction extremely complex and time-consuming, and it is difficult to meet clinical requirements at present.

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  • Regional spatial-temporal prior-based dynamic PET reconstruction method
  • Regional spatial-temporal prior-based dynamic PET reconstruction method
  • Regional spatial-temporal prior-based dynamic PET reconstruction method

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[0028] The specific implementation steps of the dynamic PET reconstruction method based on regional spatiotemporal prior of the present invention are as follows: figure 1 As shown, the details are as follows:

[0029] 1. Using PET equipment to collect dynamic projection data, the dynamic collection time period is 4×0.5min, 4×2min, 16×5min, a total of 24 time frames.

[0030] 2. Direct traditional FBP (Filter back-projection, FBP, filtered back-projection) reconstruction of the acquired dynamic projection data, FBP reconstruction uses a Hanning (Hanning) window with a cutoff frequency of 80% Nyquist (Nyquist) frequency, Generate an initial dynamic image.

[0031] 3. Extract the mean TAC corresponding to each region of interest (ROI) from the acquired initial dynamic image, where the ROI is determined by a small neighborhood of 3×3 pixels. The above mean TAC is expressed in vector form as Where t is the number of time frames, a total of T frames, is the pixel mean value of...

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Abstract

The invention discloses a regional spatial-temporal prior-based dynamic PET (positron emission tomography) reconstruction method, which comprises the following steps of: (1) acquiring dynamic projection data by utilizing PET imaging equipment; (2) performing traditional FBP (filtered back projection) reconstruction on the acquired dynamic projection data to generate an initial dynamic image; (3) extracting an average time-activity curve (TAC) corresponding to each interested region from the acquired dynamic reconstructed image; (4) fitting the average TAC extracted in the step (3) by using a compartmental model to obtain the fitted optimal TAC; (5) calculating the regional spatial-temporal prior of all dynamic image estimation by utilizing the fitted optimal TAC; (6) reconstructing each time frame by utilizing the acquired regional spatial-temporal prior and the dynamic image estimation through a Bayesian-based maximum posterior reconstruction method and updating the original dynamic image estimation; and (7) repeating the steps (3-6) until the iteration is stopped. Compared with the classical image reconstruction method, the method can effectively improve the quality of the dynamic PET reconstructed images so as to improve the estimation accuracy of kinetic parameters.

Description

technical field [0001] The present invention relates to an image reconstruction method of medical images, in particular to a dynamic Positron Emission Tomography (PET) reconstruction method based on Regional Spatial-Temporal prior (RST). Background technique [0002] In recent years, Positron Emission Tomography (PET), as an outstanding representative of functional molecular imaging, is being more and more widely used in clinical diagnosis. Especially early diagnosis. Dynamic PET imaging, by imaging the distribution and activity changes of radiotracers in the human body, can non-invasively provide the human physiological and biochemical information required by clinicians, and can perform early diagnosis and treatment of potential diseases. However, due to the short time of dynamic PET scanning, the low photon count, and the data acquired during the scanning process are affected by noise and other physical factors, the signal-to-noise ratio of the reconstructed dynamic PET i...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T11/00
Inventor 陈武凡马建华边兆英冯前进冯衍秋黄静
Owner SOUTHERN MEDICAL UNIVERSITY
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