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Noise-robust real-time extraction of respiratory motion signal from PET list-data

A breathing motion and signal technology, applied in the field of medical imaging, can solve problems such as low signal-to-noise ratio, low emission signal strength, and data-driven methods that are not easy to emit imaging

Active Publication Date: 2019-12-03
KONINKLJIJKE PHILIPS NV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Data-driven approaches less readily applicable to emission imaging
This is due to the low dose of radiopharmaceutical used for the radiation safety of the patient, which results in low emission signal intensity and thus low signal-to-noise ratio (SNR)

Method used

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  • Noise-robust real-time extraction of respiratory motion signal from PET list-data
  • Noise-robust real-time extraction of respiratory motion signal from PET list-data
  • Noise-robust real-time extraction of respiratory motion signal from PET list-data

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Embodiment Construction

[0022] Methods of retrospective respiratory gating, such as Kesner's method discussed earlier in this article, have certain disadvantages. They need to perform image reconstruction for each time interval (e.g., 0.5 second time window in Kesner) in order to determine the activity of each voxel in each time interval. A trade-off is made between temporal resolution (improved by using shorter time windows) and noise (improved for each reconstructed image by using longer time windows). Image reconstruction is computationally expensive, does not facilitate real-time respiration signal extraction, and does not utilize time-of-flight localization in an efficient manner.

[0023] Noise can in principle be reduced by combining the activity versus time curves of all voxels in the imaging field of view (FOV) to generate a respiration signal. However, most voxels will not have a strong respiration signal component and thus may contribute more noise than the combined respiration signal sig...

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Abstract

A respiratory motion signal generation method operates on emission data (22) of an imaging subject in an imaging field of view (FOV) acquired by a positron emission tomography (PET) or single photon emission computed tomography (SPECT) imaging device (10). An array of regions (32) is defined in the imaging FOV without reference to anatomy of the imaging subject. For each region of the array of regions defined in the imaging FOV, an activity position versus time curve (54) is computed from the emission data acquired by the PET or SPECT imaging device. Frequency-selective filtering of the activity position versus time curves is performed to generate filtered activity position versus time curves. At least one motion signal (66) is generated by combining the filtered activity position versus time curves of at least a selected sub-set of the regions.

Description

technical field [0001] The following generally relates to the art of medical imaging, the art of emission imaging, the art of positron emission tomography (PET) imaging, the art of single photon emission computed tomography (SPECT) imaging, the art of patient monitoring, the art of respiratory monitoring, and related arts. Background technique [0002] In emission imaging such as positron emission tomography (PET) or single photon emission computed tomography (SPECT), a patient or other imaged subject is administered a radiopharmaceutical designed to preferentially accumulate in the target organ or tissue and includes radioactive isotopes, such as the positron-emitting isotopes in PET. An imaging subject is loaded into an imaging device (eg, a PET scanner for PET imaging, or a gamma camera for SPECT imaging), and emission imaging data is collected and reconstructed, typically using an iterative reconstruction algorithm, to generate a reconstructed image. To improve accuracy...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B6/00A61B6/03
CPCA61B6/037A61B6/5264A61B6/032A61B6/5235A61B6/5288A61B6/469G06T7/20G06T2207/10104G06T2207/30004
Inventor A·F·萨洛蒙张滨A·格迪克P·奥利维尔
Owner KONINKLJIJKE PHILIPS NV