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Random ray imaging method based on panel ray source

An imaging method and ray source technology, applied in the field of medical image processing, can solve problems such as random ray undersampling

Active Publication Date: 2018-04-24
SOUTHERN MEDICAL UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

But how to implement random ray undersampling in CBCT machines is still an open problem

Method used

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  • Random ray imaging method based on panel ray source
  • Random ray imaging method based on panel ray source
  • Random ray imaging method based on panel ray source

Examples

Experimental program
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Effect test

Embodiment 1

[0042] A stochastic radiography method based on a flat-panel ray source, such as figure 1 shown, including the following steps:

[0043] (1) Set the number of radiation source units that are in the off state and the number of radiation source units that generate radiation;

[0044] Then use the flat ray source to randomly generate the ray distribution, and collect the projections with missing data;

[0045] (2) Use the Hough transform to find the black circle area in each projection, and segment the missing data represented by the black circle in the projection;

[0046] (3) According to the result of Hough transform segmentation in step (2), generate a black circle mold and extract the center of each circle from it;

[0047] (4) Use the circle distribution result of step (3) to calibrate the range of the black circle in the original projection, generate an invalid projection area template, and separate the effective ray projection;

[0048] (5) Using effective ray projecti...

Embodiment 2

[0069] A stochastic radiography method based on a flat-panel ray source by using a A 600 phantom was used for quantitative and qualitative evaluation of the method of the invention.

[0070] 600 contains polytetrafluoroethylene, acrylic fiber, polyoxymethylene resin, polystyrene, low-density polyethylene, polymethylpentene and other components, and can measure and evaluate the spatial resolution and density resolution of the reconstructed image. The resolution of the reconstructed image is 512 × 512 × 100, and each voxel size is 0.98 × 0.98 × 2.5mm3. The resolution of the detector is 512×384, the size of each detector unit is 1×1mm2, the distance from the ray source to the center of rotation is 1000mm, and the distance from the ray source to the detector is 1500mm. Although the flat-panel ray source can randomly distribute the ray source units that emit cone beam signals, we can control the proportion of the number of ray source units that are in the off state to the total...

Embodiment 3

[0085] A random radiography method based on a flat-panel ray source, other specific operation methods are the same as in Embodiment 2, the difference is that the number of ray source units is reduced by 30%, from figure 2 (c), image 3 It can be clearly seen that the quality of the reconstructed image with a dose reduction of 10% is close to that of the original dose image (a).

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Abstract

The invention discloses a random ray imaging method based on a panel ray source. The method comprises the following steps that: (1) setting the amount of ray source units under a closing state and theamount of ray source units which generate ray, then, adopting the panel ray source to randomly generate ray distribution, and collecting to obtain a projection with missing data; (2) segmenting the missing data represented by a black circle in the projection; (3) generating a mould of the black circle, and extracting the center of each circle from the mould; (4) calibrating the range of the blackcircle in the original projection, generating an ineffective projection area template, and in addition, separating an effective ray projection; and (5) utilizing the effective ray projection, addinga total variation regular term on a least square model, and then, adopting an alternating direction multiplier algorithm to solve a minimum least square TV regularization model to finish image reconstruction. By use of the method, a purpose that a radiation dosage is lowered can be achieved, and a situation that the quality of a reconstructed image has a large distortion can be avoided.

Description

technical field [0001] The invention relates to the field of medical image processing, in particular to a random radiography method based on a flat ray source. Background technique [0002] Cone-beam computed tomography (CBCT) adopts cone-beam ray source and flat-panel detector, the acquisition and projection speed has been greatly accelerated, and the ray utilization rate and image axial resolution have also been greatly improved. Good improvement makes CBCT widely used in medicine, industry and other fields. CBCT is currently the most widely used image-guided tool in the field of Image-guided Radiation Therapy (IGRT). CBCT can provide 3D internal structure information to precisely locate the patient's position. However, excessive radiation doses can increase a patient's cancer risk. Therefore, low-dose CT image reconstruction has become a focus of attention in recent years. [0003] In the field of low-dose CT image reconstruction, Compressed Sensing (CS) theory has sh...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T11/00
CPCG06T11/003G06T2207/10081G06T2207/20061
Inventor 徐圆周凌宏马健晖李斌
Owner SOUTHERN MEDICAL UNIVERSITY
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