Method for extracting central line of mandibular neural tube and calculating radius of mandibular neural tube

A neural tube and centerline technology, applied in the field of medical image processing, can solve problems such as over-segmentation, time-consuming and labor-intensive manual marking, and under-segmentation

Active Publication Date: 2022-06-28
HANGZHOU JOINTECH LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Among them, manual marking is time-consuming and labor-intensive, and the results marked by different operators are often inconsistent, which is easy to cause errors; while the automatic segmentation method is unstable, prone to over-segmentation and under-segmentation

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  • Method for extracting central line of mandibular neural tube and calculating radius of mandibular neural tube
  • Method for extracting central line of mandibular neural tube and calculating radius of mandibular neural tube
  • Method for extracting central line of mandibular neural tube and calculating radius of mandibular neural tube

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Embodiment Construction

[0053] The features and exemplary embodiments of various aspects of the present disclosure will be described in detail below. In order to make the objectives, technical solutions and advantages of the present disclosure more clear, the present disclosure will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only intended to explain the present disclosure, not to limit the present disclosure. It will be apparent to those skilled in the art that the present disclosure may be practiced without some of these specific details. The following description of the embodiments is merely intended to provide a better understanding of the present disclosure by illustrating examples of the present disclosure.

[0054] It should be noted that, in this document, relational terms such as first and second are used only to distinguish one entity or operation from an...

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Abstract

The invention relates to the field of medical image processing, in particular to a mandibular neural tube center line extraction and radius calculation method. The method comprises the following steps: performing mandibular neural tube automatic segmentation on an oral cavity CBCT image by using a segmentation algorithm and a connected domain algorithm; carrying out image refinement on a segmentation result by utilizing a keel extraction algorithm; constructing a graph structure for the keel points of the mandibular neural tube, and generating graph nodes and side information; pruning a keel of the mandibular nerve tube, and extracting a longest path in the keel to obtain a center line point cloud of the mandibular nerve tube; performing curve fitting and down-sampling on the center line point cloud to obtain a mandibular neural tube center line and a control point and a tangent vector of the mandibular neural tube center line; and generating a cross section by using the control point and the tangent vector, and calculating an intersection line of the cross section and the mandibular neural tube three-dimensional model to obtain the radius of the control point. According to the method, the positioning precision of the mandibular nerve tube is improved, and the time cost of manual marking is saved.

Description

technical field [0001] The invention relates to the field of medical image processing, in particular to a method for extracting a mandibular nerve canal centerline and calculating a radius. Background technique [0002] At present, computer-aided planning and design systems have been widely used in the field of oral implant planning. Under the guidance of medical images, doctors can complete the preoperative planning tasks for oral implants, improve the accuracy of surgery, and improve the Operation efficiency, reduce patient pain. In oral implant surgery, the position of the mandibular neural canal is very important. If the implant interferes with the mandibular neural canal, it will cause the patient's facial numbness, pain and other neurological symptoms. [0003] The existing computer-assisted dental implant software usually adopts the form of manual marking or automatic segmentation for the positioning of the mandibular canal. Among them, manual marking is time-consum...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/11G06T7/187G06T7/62G06T5/00
CPCG06T7/0012G06T7/11G06T7/187G06T7/62G06T2207/10028G06T2207/30036G06T5/70
Inventor 乔天翟方文聂智林
Owner HANGZHOU JOINTECH LTD
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