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Artificial intelligence technology-based pituitary tumor operation planning system

A surgical planning and artificial intelligence technology, applied in the fields of biomedical engineering and medical images, it can solve problems such as long planning time, no mention of surgery, and difficulty in image segmentation, and achieve the effect of ensuring safe implementation.

Pending Publication Date: 2022-07-12
上海寻是科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Patent CN202010907454 proposes an artificial intelligence-based method and device for positioning and diagnosing pituitary adenomas in magnetic resonance images. The method of tumor location, this patent can assist clinicians and radiologists in rapid diagnosis, however, the selection of pituitary adenomas cannot be reconstructed in 3D, and the 3D reconstruction of pituitary tumors needs to segment the pituitary tumor area pixel by pixel
At the same time, this method does not propose methods for segmenting blood vessels, nerves, etc., so it cannot provide support for surgical planning, simulation and navigation
[0007] In the article [Wang Lei, Wang Hongfei, Wang Yan, et al. The application progress of artificial intelligence in the diagnosis, treatment and prognosis prediction of pituitary adenoma [J]. Journal of Clinical Neurosurgery, 2021, 18(5):4.] mentioned the application of The application of artificial intelligence technology and surgical robotic arm to complete the precise resection of pituitary tumors does not mention what technology is used to ensure the safety of surgery and the accuracy of resection
[0008] Therefore, in order to solve the problems of long preoperative planning time and difficult image segmentation, the present invention proposes for the first time a fully automatic surgical planning system based on artificial intelligence technology, which assists clinicians to quickly complete surgical planning and evaluation, and can use the system The generated 3D model is used as the input of the surgical navigation system to ensure the safe implementation of the operation

Method used

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  • Artificial intelligence technology-based pituitary tumor operation planning system
  • Artificial intelligence technology-based pituitary tumor operation planning system
  • Artificial intelligence technology-based pituitary tumor operation planning system

Examples

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Embodiment

[0063] Example: The following will clearly illustrate this case with drawings and detailed descriptions. Any person skilled in the art can change and modify the technology taught in this case after understanding the embodiments of this case, and it does not deviate from the spirit of this case. with scope.

[0064] The language used herein is intended to describe particular embodiments and is not intended to be limiting. As used herein, "comprising", "including", "having" and the like are open-ended terms, meaning including but not limited to.

[0065] Regarding the terms (terms) used in this article, unless otherwise specified, they usually have the ordinary meaning of each term used in this field, in the content of this case and in the special content. Certain terms used to describe the present case are discussed below or elsewhere in this specification to provide those skilled in the art with additional guidance regarding the description of the present case.

[0066] see ...

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Abstract

The invention discloses a pituitary tumor operation planning system based on an artificial intelligence technology. The system comprises the following steps: 1, acquiring a vascular medical image sequence, a skeleton medical image sequence and a pituitary tumor medical image sequence; 2, if the medical image sequences are the image sequences shot at different moments or the image sequences shot at the same moment are not in the same coordinate system, performing registration, and placing the image sequences in the same coordinate system; 3, using a deep neural network model to take each medical image sequence in the same coordinate system as input, and outputting a blood vessel image segmentation result, a skeleton image segmentation result and a pituitary tumor image segmentation result; and 4, performing three-dimensional reconstruction on the blood vessel image segmentation result, the skeleton image segmentation result and the pituitary tumor image segmentation result to obtain a three-dimensional model for pituitary tumor preoperative planning. The method is high in processing speed and high in reliability, so that preoperative evaluation and surgical planning of clinicians become simple, accurate and rapid.

Description

technical field [0001] The invention relates to the fields of biomedical engineering and medical images, in particular to a pituitary tumor surgery planning system based on artificial intelligence technology. Background technique [0002] In the past 20 years, neuroendoscopy technology has developed rapidly and its application scope has been continuously expanded. Among them, the development of skull base endoscopy is particularly rapid. The complex anatomy of the skull base is one of the most challenging areas of neurosurgery. Neuroendoscopy has been widely used in the treatment of various lesions of the skull base due to its wide field of view, clear imaging, and small surgical trauma. [0003] In pituitary aneurysm resection endoscopic skull base surgery, due to the complexity of structures such as optic nerve, cavernous sinus, petrosal bone segment, and cavernous sinus internal carotid artery, the operation is difficult. Injury to these structures during surgery may ca...

Claims

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Application Information

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IPC IPC(8): G16H20/40G16H30/40G06T7/00G06T7/11G06T7/136G06T17/00G06N3/04G06N3/08
CPCG16H20/40G16H30/40G06T7/0012G06T7/11G06T7/136G06T17/00G06N3/08G06T2207/10081G06T2207/30096G06N3/045
Inventor 周至宜王沐晴
Owner 上海寻是科技有限公司
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