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Brain tumor keyhole operation path planning method based on image guidance

A surgical path and image-guided technology, applied in the field of image processing and medical imaging, can solve problems such as not being optimal, path planning depends on the surgeon, etc., to ensure optimality and reduce dependence.

Active Publication Date: 2020-04-10
ZHEJIANG UNIV OF TECH
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Problems solved by technology

The resulting path planning is heavily surgeon-dependent and may not be optimal

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  • Brain tumor keyhole operation path planning method based on image guidance
  • Brain tumor keyhole operation path planning method based on image guidance
  • Brain tumor keyhole operation path planning method based on image guidance

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[0027] In order to make the object, technical solution and advantages of the present invention clearer, a specific embodiment of the present invention will be further explained below in conjunction with specific implementation and accompanying drawings.

[0028] refer to figure 1 with figure 2 , an image-guided path planning method for brain tumor keyhole surgery, on the basis of realizing the precise positioning of important functional tissues and fibers of the brain, and according to the importance of brain functions, it assists doctors in planning a safe path for tumor resection keyhole surgery The surgical approach includes the following steps:

[0029] Step 1. Obtain the MRI training data set, interpolate the MRI images of different modalities to the same voxel size through the bilinear interpolation algorithm, and use the B-spline-based registration algorithm to align T 1 Align with the corresponding dMRI image and the spatial coordinates of the functional map, and fu...

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Abstract

A brain tumor keyhole operation path planning method based on image guidance comprises the following steps: (1) acquiring a T1 and dMRI tumor segmentation data set, and registering an image sequence to the same coordinate space system after preprocessing; 2) using the training sample to realize accurate positioning of important functional regions of brain tumors, blood vessels and ventricles through a 3D convolutional network, and taking the segmented tumor centroid as an end point of surgical path planning; 3) establishing operation path risk estimation of voxels; 4) establishing risk estimation of each operation path through voxel risk estimation and operation path length constraint; 5) through spatial search, selecting five paths with the minimum risk from the surgical paths as candidate paths, and taking the path with the minimum risk as a planned path; 6) normalizing risk values, and establishing surgical path risk map through color coding. According to the brain tumor resection keyhole operation path planning method, the dependence of brain tumor resection keyhole operation path planning on doctors is reduced, and the track optimality is guaranteed.

Description

technical field [0001] The invention relates to the fields of medical imaging and image processing, in particular to an image-guided keyhole surgery path planning method. Background technique [0002] In today's clinical routine, many keyhole neurosurgery procedures require precise localization of tumors and anatomical structures. On the basis of preoperative CT / MRI images, wrong placement of neurosurgical tools on the planned trajectory may lead to some serious medical complications, such as: insufficient radiation administration, intracranial hemorrhage, temporary or permanent nerve damage, these Complications can have serious deleterious neurologic sequelae and may require additional surgical procedures to achieve the desired therapeutic effect. Therefore, while maximally completing the resection operation, finding a surgical trajectory with a safe distance from key structures (vascular, sports, and functional areas) to protect normal tissues from minimal damage is cruci...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H30/20G06T7/37G06T7/30G06T7/11G06T7/136G06K9/62G06N3/04
CPCG16H30/20G06T7/37G06T7/30G06T7/11G06T7/136G06T2207/10088G06T2207/30096G06T2207/30016G06N3/045G06F18/23213Y02T10/40
Inventor 冯远静谭志豪陈晔李思琦曾庆润金儿
Owner ZHEJIANG UNIV OF TECH
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