Composite imaging system and three-dimensional image reconstruction algorithm thereof

An imaging system and composite image technology, applied in image generation, image data processing, 3D image processing, etc., can solve problems such as unsatisfactory reconstruction effect, and achieve the effect of reducing time and transportation cost.

Inactive Publication Date: 2017-10-03
淄博润承信息科技有限公司
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Problems solved by technology

[0007] The present invention mainly solves the problem of unsatisfactory reconstruction effect caused by under-sampling by using compressed sensing theory, and provides a method for low-dose CT imaging, thereby reducing the radiation dose received by patients in CT examination as much as possible

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  • Composite imaging system and three-dimensional image reconstruction algorithm thereof
  • Composite imaging system and three-dimensional image reconstruction algorithm thereof
  • Composite imaging system and three-dimensional image reconstruction algorithm thereof

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Embodiment Construction

[0048] Such as image 3 As shown, the processing device 1 of this embodiment is connected to an endoscope 2 (scope body), a light source device 3, a display device 4, and an X-ray device 5. The imaging unit 21 that generates an endoscopic image signal by shooting in the body of the endoscope. The light source device 3 generates illumination light L and supplies it to the front end of the endoscope 2 through the light guide cable 22. The display device 4 is composed of liquid crystal or organic The X-ray device 5 generates X-ray image signals, and the processing device 1 performs predetermined image processing on the endoscope image signals input from the endoscope 2 and also Predetermined image processing is performed on the X-ray image signal input from the X-ray device 5, and an image corresponding to the synthesized image signal in which the image-processed endoscopic image signal and the X-ray signals are synthesized. The processing device 1 displays, on the display scre...

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Abstract

The invention discloses a composite imaging system and a three-dimensional image reconstruction algorithm thereof, and relates to a compressed sensing-based three-dimensional CT image reconstruction model. When sampling is conducted, signals which are continuous in time and space can be converted into a numerical sequence which is discrete in time and space, sampling is conducted according to the Nyquist-Shannon sampling theorem, and when the sampling frequency is higher than the frequency 2 times (in practical application, it is normally set as 5-10 times) of the highest frequency the original signals, all information in the original signals can be completely preserved. With the compressed sensing technology, the sampling frequency can be reduced as much as possible on the premise that the CT reconstruction quality is guaranteed to achieve the purpose of reducing the radiation dosage.

Description

technical field [0001] The invention relates to a medical device, and more specifically, the invention relates to a compound image imaging system and a three-dimensional image reconstruction algorithm thereof. Background technique [0002] The brutality of modern wars, the particularity of military missions, and the frequent occurrence of disaster relief have put forward higher requirements for the rapid treatment of the wounded and sick. At present, our military's medical support units at all levels must rely on new equipment to provide fast and safe treatment. In order to achieve such capabilities in wartime or non-military mission medical support, the most urgent task is to make the new generation of medical support "seamlessly linked" with actual combat support needs. In recent years, the digitization and informatization level of our army's medical equipment system has been continuously improved, and a number of advanced medical equipment such as field shelters, hospita...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T15/00B33Y50/00
CPCG06T15/005B33Y50/00G06T2210/41G06T2211/40
Inventor 张蓉
Owner 淄博润承信息科技有限公司
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