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Computer tomography (CT) parallel reconstructing system and imaging method thereof

An imaging method and image reconstruction technology, applied in image enhancement, image data processing, material analysis using radiation, etc., can solve problems such as recalculation

Active Publication Date: 2011-09-07
INST OF PROCESS ENG CHINESE ACAD OF SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Another disadvantage of the address look-up table method is that when the CT geometric parameters change, the projection address needs to be completely recalculated

Method used

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  • Computer tomography (CT) parallel reconstructing system and imaging method thereof
  • Computer tomography (CT) parallel reconstructing system and imaging method thereof
  • Computer tomography (CT) parallel reconstructing system and imaging method thereof

Examples

Experimental program
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Embodiment 1

[0029] This embodiment provides a parallel reconstruction system based on a GPU cluster, including a front-end data acquisition computer connected to the detector of the CT system; N back-end data processing computers (N is not specifically limited), composed of a Linux operating system LAN, each computer is equipped with Tesla produced by the company TM Graphics processor; the system also includes necessary hardware for CT scanning such as ray sources, detector arrays, and turntables. The central node connects storage devices and image output devices.

[0030] In this embodiment, each GPU includes L multiprocessor units (multiprocessor), and each multiprocessor unit can initiate M threads to be put into calculation at the same time (the number of M of GPUs of different models is different), therefore, in theory, the design For the CT image reconstruction calculation method based on GPU characteristics, N GPUs can increase the calculation speed by L×N×M times.

[0031] Thi...

Embodiment 2

[0045] In this implementation example, the three-generation single-source equidistant fan-beam CT is used to measure the plexiglass tube and the wedge-shaped model. The detector has a total of 1536 pixels, and the pixel width is 0.4mm. Weekly scanning, a total of 3600 angle projection data were collected. Therefore, the original data is a 1536*3600 two-dimensional matrix, accessed as int type, and each original data file is about 22M. The image size of the reconstructed image is 1024*1024. The image parallel reconstruction system of the present invention has 30 nodes in total, and each node is equipped with a GPU graphics processor.

[0046] Such as figure 1 As shown, the front-end sampling machine controls the rotation of the turntable and the synchronous work of the radiation source and the detector. After the radiation emitted by the radiation source 1 passes through the object 2, the attenuated radiation signal is collected by the detector 3 and transmitted to the Front...

Embodiment 3

[0061] In this implementation example, the five-generation equidistant fan-beam CT is used to measure the plexiglass disk model. The CT system has 18 sets of source-detectors, so the original data of 18 projection angles can be collected at the same time. Each detector has 640 pixels, and the pixel width is 0.4mm. The source and detector are installed on the turntable in pairs, and the data is transmitted to the front-end sampling machine through the slip ring. The drive system drives the turntable to rotate around the object under test at a speed of 667rpm. 360-degree full-circle scanning, collecting projection data from 900 angles in total. Therefore, the original data is a 640*900 two-dimensional matrix. The image size of the reconstructed image is 1024*1024. The image parallel reconstruction system of the present invention has 30 nodes in total, each node is equipped with a GPU graphics processor, and the reconstructed image is divided into 64*64 blocks, and each block co...

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Abstract

The invention provides a computer tomography (CT) parallel reconstructing system and an imaging method thereof. The CT parallel reconstructing system comprises a front end sampler, a central node and a plurality of sub-nodes connected with the central node, wherein each sub-node is provided with an image processor. The imaging method of the CT parallel reconstructing system comprises the following steps: (1) a reconstructed image is divided into a plurality of block regions; (2) original projection data of each angle, which is sampled by the front end sampler, is received by the central node;(3) calculation tasks are allotted to the sub-nodes by the central node, and the reconstruction values of one or a plurality of block regions are calculated by the sub-nodes to which the reconstruction calculation tasks are allotted; (4) the reconstruction calculation tasks are completed by the sub-nodes; and (5) a complete reconstruction image is combined by the central node. By adopting the method of dividing the reconstructed image into subregions, the invention fully excavates the parallel characteristics of CT scan and reconstruction, and performs parallel reconstruction of GPU while data collection, and the reconstruction time is lowered from the minute grade of the prior art to millisecond grade, thereby accurately displaying the reconstruction of the sectional image of a detected object in real time.

Description

technical field [0001] The invention belongs to the technical field of non-destructive testing, in particular, the invention relates to a CT parallel reconstruction imaging system and a parallel reconstruction imaging method. Background technique [0002] Computed tomography (CT) is widely used in the fields of medical imaging and industrial non-destructive flaw detection. Get the two-dimensional or three-dimensional tomographic information of the measured object. In the image reconstruction process, the FBP algorithm needs to filter the original data first, then calculate the detector pixel unit corresponding to the corresponding reconstruction coordinate point, and assign the detector data at the corresponding angle to the corresponding coordinate point, which is back projection. The back-projection process involves a large number of triangulation and address search operations, which consumes a lot of time. For example, to reconstruct a tomographic image of 1024×1024 pix...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B6/03G01N23/18G06T5/00
Inventor 孟凡勇陈飞国王维李静海
Owner INST OF PROCESS ENG CHINESE ACAD OF SCI
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