Multimodal medical image fusion method and system based on nonlinear least square

A medical image and least squares technology, applied in the field of medical image processing, can solve the problem of image meaninglessness and achieve the effect of insensitivity to geometric distortion, high precision, and less manual intervention

Active Publication Date: 2017-05-17
卡本(深圳)医疗科技有限公司
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Problems solved by technology

The images to be fused often come from different imaging devices, and their imaging azimuths, angles, and resolutions are all different, so

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  • Multimodal medical image fusion method and system based on nonlinear least square
  • Multimodal medical image fusion method and system based on nonlinear least square
  • Multimodal medical image fusion method and system based on nonlinear least square

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[0032] In the following, the present invention will be further described in conjunction with the embodiments.

[0033] A multi-modal medical image fusion system based on nonlinear least squares, which includes:

[0034] S1. Denoising unit, using multiple medical image acquisition devices to obtain image sequence groups of the same lesion or part of interest, respectively, to denoise the image sequences in each image sequence group:

[0035] S2. The enhancement unit uses an image enhancement method to respectively process the image sequences in the image sequence group acquired by the aforementioned various medical image acquisition devices;

[0036] S3. The registration unit performs registration on the aforementioned enhanced image sequence groups;

[0037] S4. The fusion unit fuses all the registered image sequences to obtain a final fusion image sequence group.

[0038] Specific implementation: It includes the following steps:

[0039] S1. Use a variety of medical image acquisition dev...

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Abstract

A multimodal medical image fusion method and system based on nonlinear least squares, which comprises the following steps: S1, using a variety of medical image acquisition devices to obtain image sequences of the same lesion or interested region, respectively, to denoise the sequence of images in each image sequence group; S2, adopting image enhancement method to process the image sequences in the image sequence set obtained by various medical image acquisition devices, respectively; S3, registering each group after the enhancement of image sequence; S4, all the image sequences after registration are merged to obtain the group of finished product sequences after fusion. The invention adopts the mutual information based registration method, with less manual intervention and only depends on the information of the image itself, and the registration accuracy is high, and the sub-pixel level can be reached. The invention has high reliability and is insensitive to the geometric distortion in the image, and can be applied to multimodality medical image registration without relying on any imaging device.

Description

technical field [0001] The present invention relates to the field of medical image processing, in particular to an image registration method based on nonlinear least squares, in particular to a multimodal medical image fusion method and system based on nonlinear least squares. Background technique [0002] At present, with the development of medicine, computer technology and bioengineering technology, medical imaging provides medical images of various modalities for clinical diagnosis, such as CT (computed tomography), MRI (magnetic resonance imaging), SPECT (single Photon emission computed tomography), PET (positron emission computed tomography), IX, A (digital subtraction angiography), ultrasound images, electrical impedance images, etc. Different medical images provide different information about related organs, For example, CT and MRI provide information on the anatomical structure of organs with high spatial resolution, while PET provides information on metabolic functi...

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Application Information

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IPC IPC(8): G06T3/00G06T5/00G06T5/50
CPCG06T3/0068G06T5/002G06T5/50G06T2207/30004
Inventor 王晓芳
Owner 卡本(深圳)医疗科技有限公司
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