Image iterative reconstruction method, device, apparatus, and storage medium

An iterative reconstruction and image technology, applied in image data processing, 2D image generation, instruments, etc., can solve the problems of unable to meet the actual clinical needs and slow reconstruction speed

Active Publication Date: 2019-03-12
SHANGHAI UNITED IMAGING HEALTHCARE
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the existing iterative algorithms for partial FOV image reconstruction need to reconstr...

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  • Image iterative reconstruction method, device, apparatus, and storage medium
  • Image iterative reconstruction method, device, apparatus, and storage medium
  • Image iterative reconstruction method, device, apparatus, and storage medium

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Experimental program
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Embodiment 1

[0052] figure 1 It is a flowchart of an image iterative reconstruction method provided in Embodiment 1 of the present invention. This embodiment is applicable to the situation of local FOV image reconstruction, especially suitable for the situation of direct iterative reconstruction of local FOV images. The method can be executed by the image iterative reconstruction device provided by the embodiment of the present invention, and the device can be realized by software and / or hardware. see figure 1 , the method of the embodiment of the present invention specifically includes the following steps:

[0053] S110. Acquire original projection data of the target object.

[0054]Wherein, the original projection data of the target object can be obtained based on computer X-ray tomography technology, which can be based on X-ray beams to scan a layer of a certain thickness of the target object, and the detector receives the X-rays that pass through this layer, and The process of conv...

Embodiment 2

[0074] This embodiment optimizes "determining the second iterative projection data according to the original projection data and the first iterative image" on the basis of the above embodiments. Wherein, explanations of terms that are the same as or corresponding to the above embodiments are not repeated here. Such as Figure 4 As shown, the method in this embodiment may specifically include the following steps:

[0075] S210. Acquire the original projection data of the target object.

[0076] S220. Determine a first initial value image and a second initial value image based on the original projection data, where the pixel point range of the first initial value image includes the pixel point range of the second initial value image.

[0077] S230. Perform a first iteration on the original projection data and the first initial value image to determine a first iteration image.

[0078] S240. Perform a mask operation on the first iteration image to determine a mask image.

[0...

Embodiment 3

[0094] Figure 5 It is a structural block diagram of an image iterative reconstruction device provided in Embodiment 3 of the present invention, and the device is used to implement the image iterative reconstruction method provided in any of the above embodiments. The device and the image iterative reconstruction method in the above-mentioned embodiments belong to the same inventive concept. For details not described in detail in the embodiment of the image iterative reconstruction device, you can refer to the above-mentioned embodiment of the image iterative reconstruction method. see Figure 5 , the device may specifically include: an original projection data acquisition module 310 , an initial value image determination module 320 , a second iterative projection data determination module 330 and an image reconstruction module 340 .

[0095] Wherein, the original projection data acquisition module 310 is used to acquire the original projection data of the target object;

[...

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Abstract

The embodiment of the invention discloses an image iterative reconstruction method, a device, a device and a storage medium. The method comprises the following steps of: acquiring original projectiondata of a target object; Determining a first initial value image and a second initial value image based on the original projection data, the pixel point range of the first initial value image including the pixel point range of the second initial value image; Performing a first step of iterating the original projection data and the first initial value image to determine a first iterative image, anddetermining a second iterative projection data according to the original projection data and the first iterative image; The second iterative projection data and the second initial value image are iterated in a second step to obtain a reconstructed image. The technical proposal of the embodiment of the invention can directly iteratively reconstruct a local FOV image, thereby satisfying reconstruction robustness and accelerating reconstruction speed.

Description

technical field [0001] Embodiments of the present invention relate to an image iterative reconstruction technology, and in particular to an image iterative reconstruction method, device, device and storage medium. Background technique [0002] The projection data of computer X-ray tomography (Computed Tomography, CT) needs to be reconstructed to obtain the internal information of the human body. In clinical applications, we usually only care about part of the body structure or some internal organs of the body. Therefore, it is not necessary to reconstruct the entire field of view (Field of view, FOV) image, but only the local FOV image. The local FOV image is also called It is the region of interest (Region of Interest, ROI). [0003] At present, reconstruction algorithms are mainly divided into analytical reconstruction algorithms and iterative reconstruction algorithms. For the reconstruction of the local FOV image, the prior art mostly adopts an analytical reconstructio...

Claims

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Application Information

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IPC IPC(8): G06T11/00
CPCG06T11/005
Inventor 曹文静
Owner SHANGHAI UNITED IMAGING HEALTHCARE
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