Image processing process based on magnetic resonance three-dimensional renogram

Abstract

The present invention relates to an image processing method which bases on a magnetic resonance three-dimensional renogram. The present invention includes the steps mentioned below. Firstly, a magnetic resonance three-dimensional scanning image of kidneys is read from a magnetic resonance workstation. Secondly, every phase image number and background phase, a cortex and medulla demarcation phase and a holonephros phase are ensured. Thirdly, relative vascular and renal pelvis regions in the image of the holonephros phase are excised. Fourthly, a holonephros contour is identified. The fifth step is to match the background phase with the cortex and medulla demarcation phase and silhouette. The sixth step is to segment the medulla and the cortex of the kidneys. The seventh step is to match the images of all phases. The present invention provides a novel kidney dynamic reinforced image segment and match scheme and can precisely correct the motions caused by the breath of the kidneys during the MRI image obtaining process and precisely segment the cortex and the medulla. The image processing method of the present invention is proved by the practices to be capable of obtaining the reasonable three-dimensional magnetic resonance renogram. The present invention can be widely applied to the image processing of the magnetic resonance renogram.

Description

technical field [0001] The invention relates to a magnetic resonance image processing method, in particular to an image processing method based on a magnetic resonance three-dimensional renogram. Background technique [0002] MRI (Magnetic Resonance Imaging, Magnetic Resonance Imaging) dynamic contrast-enhanced scan, as a safe way to evaluate renal function, can be used to evaluate renal perfusion and filtration functions, and has important clinical application prospects. During dynamic contrast-enhanced renal MR (magnetic resonance) scanning, MRI contrast agents pass through the cortex, medulla, and collection system of the kidney in sequence, and the changes in signal intensity of contrast agents in different regions relative to time can reflect some functions of the region. The time-signal intensity curve formed by the change of signal intensity is called MRR (Magnetic Resonance Renography), also called magnetic resonance renography. Magnetic resonance renography, with h...

AI Technical Summary

Problems solved by technology

Due to the inability to correct the image movement caused by breathing and to automatically and efficiently segment the cortex and medulla, the error of the renogram is relatively large, and it is difficult to provide valuable clinical information, which brings difficulties to subsequent research.

[0004] At present, doctors can only obtain the region of interest and perform data analysis by manually drawing a single image. However, the three-dimensional renal perfusion The number of images is huge. Foreign studies have shown that if the image registration and segmentation are all performed manually by researchers, it will take about 2 to 3 hours to process a patient's image. For clinical applications, this kind of workload does not allow time. too big

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