A multimodal medical image fusion method and system based on nonlinear least squares
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 reliability, and less manual intervention
Active Publication Date: 2020-08-11
卡本(深圳)医疗科技有限公司
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The images to be fused often come from different imaging devices, and their imaging azimuths, angles, and resolutions are all different, so the positions and sizes of corresponding tissues in these images are different. Alignment on the above, then the fused image is meaningless
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[0032] The present invention will be further described below in conjunction with embodiment.
[0033] A multimodal medical image fusion system based on nonlinear least squares, which includes:
[0034] S1. The denoising unit, using various medical image acquisition devices to respectively acquire image sequence groups of the same lesion or part of interest, and denoise the image sequences in each image sequence group respectively:
[0035] S2. An enhancement unit, which uses an image enhancement method to respectively process the image sequences in the image sequence groups 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. A fusion unit, which fuses all the registered image sequences to obtain a fused finished image sequence group.
[0038] In concrete implementation: it includes the following steps:
[0039] S1. Use multiple me...
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A multi-modal medical image fusion method and system based on nonlinear least squares, which includes the following steps: S1. Use a variety of medical image acquisition equipment to obtain image sequence groups of the same lesion or part of interest, and compare each image separately Denoise the image sequences in the sequence group: S2. Use the image enhancement method to process the image sequences in the image sequence group acquired by the aforementioned various medical image acquisition equipment; S3. Configure each image sequence group after the aforementioned enhancement. Accurate; S4. Fusion of all registered image sequences to obtain the fused finished image sequence group. The present invention adopts a registration method based on mutual information, which requires less manual intervention and only relies on the information of the image itself. The registration accuracy is high and can reach the sub-pixel level; the reliability is high and it is not sensitive to geometric distortion in the image; Dependent on any imaging device, it can be applied to multi-modal medical image registration.
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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IPC IPC(8): G06T3/00G06T5/00G06T5/50
CPCG06T5/50G06T2207/30004G06T3/14G06T5/70
Inventor 章世平王晓芳
Owner 卡本(深圳)医疗科技有限公司