MRI automatic image segmentation method based on lesion volume measurement

Abstract

The present invention discloses a lesion volume measurement based MRI (Magnetic Resonance Imaging) automatic image segmentation method. The method comprises: firstly, acquiring a gray image of a to-be-segmented MRI scanned image; secondly, dividing the gray image into sub-blocks that do not overlap mutually; thirdly, segmenting the gray image by using a marker-based watershed segmentation algorithm to obtain a plurality of preliminary lesion regions; and finally, inputting respective pixel values, as input parameters, of all pixel points in each sub-block corresponding to each preliminary lesion region into a non-linear optimization model for optimization to obtain a corresponding final lesion region. The advantage is that preliminary segmentation is performed on the gray image by using the marker-based watershed segmentation algorithm, so that not only does the obtained preliminary lesion region have high accuracy, but also the segmentation efficiency is high; after the preliminary segmentation, the optimization is performed by using the non-linear optimization model, so that an accurate lesion region can be obtained only by performing segmentation once in combination with optimization; and a segmentation process is simple, the segmentation efficiency is high, and the computation amount is small, so that the method is suitable for massive image segmentation operations.

Description

technical field

[0001] The present invention relates to an image processing technology, in particular to an MRI (Magnetic Resonance Imaging, magnetic resonance imaging) automatic image segmentation method based on lesion volume measurement. Background technique

[0002] Multiple sclerosis is a demyelinating disease of the central nervous system. It is more common in North America and Europe. It is estimated that there are at least 3 to 4 million patients in the world, accounting for 6% to 10% of the incidence of nervous system diseases. In recent years, reports from Japan and China Increasingly.

[0003] Magnetic resonance imaging is the only effective imaging evaluation method for clinical diagnosis and treatment of multiple sclerosis. At present, for experienced radiologists to determine gray and white matter lesions in MRI scan images, the following two methods are usually used. The first method is to manually delineate the region of interest (ROI, region of interest) of...

Examples

Embodiment Construction

[0029] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0030] A kind of MRI automatic image segmentation method based on lesion volume measurement proposed by the present invention, its overall realization block diagram is as follows figure 1 shown, which includes the following steps:

[0031] ① Obtain an MRI scan image from the hospital's MRI medical imaging equipment as the MRI scan image to be segmented, and then convert the MRI scan image to be segmented into a grayscale image.

[0032] ②Assuming that the width and height of the grayscale image correspond to W×H, then if W×H can be divisible by u×u, then define the grayscale image as the current grayscale image, and then directly divide the current grayscale image into non-overlapping sub-blocks of size u×u; if W×H cannot be divisible by u×u, then expand the grayscale image so that its size can be divisible by u×u, and the expanded grayscale...

technical field

[0001] The present invention relates to an image processing technology, in particular to an MRI (Magnetic Resonance Imaging, magnetic resonance imaging) automatic image segmentation method based on lesion volume measurement. Background technique

[0002] Multiple sclerosis is a demyelinating disease of the central nervous system. It is more common in North America and Europe. It is estimated that there are at least 3 to 4 million patients in the world, accounting for 6% to 10% of the incidence of nervous system diseases. In recent years, reports from Japan and China Increasingly.

[0003] Magnetic resonance imaging is the only effective imaging evaluation method for clinical diagnosis and treatment of multiple sclerosis. At present, for experienced radiologists to determine gray and white matter lesions in MRI scan images, the following two methods are usually used. The first method is to manually delineate the region of interest (ROI, region of interest) of...

Examples

Embodiment Construction

[0029] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0030] A kind of MRI automatic image segmentation method based on lesion volume measurement proposed by the present invention, its overall realization block diagram is as follows figure 1 shown, which includes the following steps:

[0031] ① Obtain an MRI scan image from the hospital's MRI medical imaging equipment as the MRI scan image to be segmented, and then convert the MRI scan image to be segmented into a grayscale image.

[0032] ②Assuming that the width and height of the grayscale image correspond to W×H, then if W×H can be divisible by u×u, then define the grayscale image as the current grayscale image, and then directly divide the current grayscale image into non-overlapping sub-blocks of size u×u; if W×H cannot be divisible by u×u, then expand the grayscale image so that its size can be divisible by u×u, and the expanded grayscale...

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