High speed 4D in-vivo OCT imaging of the human brain: Creating high density datasets for machine learning toward identification of malign tissue in real time

被引：3

作者：

Draxinger, Wolfgang ^{[1
]}

Theisen-Kunde, Dirk ^{[2
]}

Schuetzeck, Lion ^{[2
]}

Detrez, Nicolas ^{[2
]}

Strenge, Paul ^{[2
]}

Danicke, Veit ^{[2
]}

Kren, Jessica ^{[3
]}

Kuppler, Patrick ^{[3
]}

Spahr-Hess, Sonja ^{[3
]}

Bonsanto, Matteo Mario ^{[3
]}

Brinkmann, Ralf ^{[1
,2
]}

Huber, Robert ^{[1
,2
]}

机构：

[1] Univ Lubeck, Inst Biomed Opt BMO, Lubeck, Germany

[2] Med Laserzentrum Lubeck MLL, Lubeck, Germany

[3] Univ Klinikum Schleswig Holstein UKSH, Lubeck, Germany

来源：

HIGH-SPEED BIOMEDICAL IMAGING AND SPECTROSCOPY VIII | 2023年 / 12390卷

基金：

欧盟地平线“2020”;

关键词：

optical coherence tomography; intraoperative imaging; neuro surgery; surgical guidance; oncology; OPTICAL COHERENCE TOMOGRAPHY; DOMAIN; NEURONAVIGATION; LASER; RESECTION; ACCURACY;

D O I：

10.1117/12.2648505

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Neuro-surgery is challenged by the difficulties of determining brain tumor boundaries during excisions. Optical Coherence Tomography is investigated as an imaging modality for providing a viable contrast channel. Our MHz-OCT technology enables rapid volumetric imaging, suitable for surgical workflows. We present a surgical microscope integrated MHz-OCT imaging system, which is used for the collection of in-vivo images of human brains, with the purpose of being used in machine learning systems that shall be trained to identify and classify tumorous tissue.

引用

页数：6

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