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A hybrid method based on simulation and experimental data to normalize PET data

A data and model technology, applied in the field of medical imaging, to achieve the effect of improving quantitative accuracy, reducing the number of scans, and reducing certification and calibration time

Active Publication Date: 2016-05-04
KONINKLJIJKE PHILIPS NV
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Problems solved by technology

The certification process can lead to recalibration of scanners when such scanners do not meet predetermined acceptance criteria

Method used

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  • A hybrid method based on simulation and experimental data to normalize PET data
  • A hybrid method based on simulation and experimental data to normalize PET data
  • A hybrid method based on simulation and experimental data to normalize PET data

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Embodiment 60

[0042] Embodiment 60 also includes a Monte Carlo noise reduction component 64 that implements statistical methods to reduce noise in the data to more robustly render correction results. Statistical methods such as PCA or similar methods can be used to reduce the cycle time in model Carlo simulations by reducing the number of counts. The simulated data (from the first model 61 of the simulated source using the second model 62 ) is then subjected to component-based normalization 65 as proposed by Wang et al. This normalization 65 generates detector geometry correction components that can be used for all scanners 12 having the same detector geometry as simulated via the first model 61 . For each individual scanner 12, a measured uniform cylinder full of activity is used to generate a normalized crystal efficiency component. Thus, in Figure 5 The embodiment 60 depicted in , outputs a crystal efficiency normalized component 66 and a geometry normalized component 67 , which toget...

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Abstract

A medical system (28) for normalization correction of an imaging system (10) includes a detector geometry correction unit (44), a crystal efficiency unit (46), and a normalization unit (54). The detector geometry correction unit (44) mathematically calculates a detector geometry correction component for a type of scanner (12) of interest. The crystal efficiency unit (46) configured to empirically determine a crystal efficiency component for at least one individual scanner (12). The normalization unit (54) generates a normalization data set (56) which corresponds to a normalization correction factor of the at least one individual scanner (12) in accordance with the detector geometry correction component and the crystal efficiency component.

Description

technical field [0001] The following generally relates to medical imaging. The invention finds particular application in connection with calibrating positron emission tomography (PET) scans and will be described with particular reference thereto. However, it should be understood that the present invention is also applicable to other usage scenarios, and is not necessarily limited to the above-mentioned applications. Background technique [0002] In PET imaging, subjects are injected with radiopharmaceuticals, which are usually targeted to specific tissues by uptake based on metabolic activity. When the radiopharmaceutical decays, a positron is emitted, which annihilates upon contact with an electron to form a pair of photons emitted at opposite 180° along the line of response (LOR). PET scanners require normalization to correct for errors in detector sensitivity for different lines of response due to differences in scanner geometry and crystal efficiency. Inaccurate norma...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01T1/29
CPCG01T1/2985A61B6/037A61B6/583
Inventor A·珀金斯M·纳拉亚南A·M·A·特林达德罗德里格斯P·J·达席尔瓦罗德里格斯
Owner KONINKLJIJKE PHILIPS NV
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