Spine detection method and device, electronic equipment and storage medium

Abstract

The embodiment of the invention provides a spine detection method and device, electronic equipment and a storage medium. According to the embodiment of the invention, the method comprises the steps: inputting a three-dimensional spine image into a deep learning network model, obtaining a segmented image outputted by the deep learning network model, and determining a first central point of a spineregion on each cross section image corresponding to the three-dimensional spine image according to the segmented image, obtaining a spine center line according to a first center point on the cross section image, identifying each spine body of the spine according to the segmentation image and the spine center line, setting a spine body identifier for each spine body, positioning a spine sagittal image according to the segmentation image and the identified spine body, and determining a first spinal parameter value according to the spine sagittal image. According to the method and device, the spine parameters can be measured in a full-automatic mode, and the working efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of medical image processing, in particular to a vertebra detection method, device, electronic equipment and storage medium. Background technique [0002] With the continuous advancement of medical imaging technology, CT (Computed Tomography, computerized tomography technology) is widely used in the diagnosis of spinal stenosis. In clinical practice, clinical experts with rich theoretical knowledge and practical experience are usually required. Doctors manually measure scoliosis and spinal stenosis from the patient's CT images, which consumes a lot of time and energy for clinicians, and is inefficient. And affected by the accumulation of knowledge, practical experience and subjective factors of different doctors, the results measured by different doctors Diagnosis results will also have a large error. Contents of the invention [0003] In order to overcome the problems existing in the related technologies,...

AI Technical Summary

Problems solved by technology

In clinical practice, clinicians with rich theoretical knowledge and practical experience are usually required to manually measure scoliosis and spinal stenosis from patients' CT images, which consumes a lot of time and energy for clinicians and is inefficient

And affected by the knowledge accumulation, practical experience and subjective factors of different doctors, the diagnostic results obtained by different doctors will also have large errors

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