机器人辅助腹腔镜手术中实时3D模型注册的深度学习框架

The international journal of medical robotics + computer assisted surgery : MRCAS Pub Date : 2022-03-04 DOI:10.1002/rcs.2387

Erica Padovan, Giorgia Marullo, L. Tanzi, P. Piazzolla, Sandro Moos, F. Porpiglia, E. Vezzetti

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引用次数: 9

摘要

目前的研究提出了一种深度学习框架，可以从内窥镜视频中实时确定目标器官的位置和旋转。这些推断出来的数据被用来将病人器官的3D模型覆盖在其真实对应的器官上。由此产生的增强视频流在腹腔镜机器人辅助手术期间作为支持流传回给外科医生。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A deep learning framework for real‐time 3D model registration in robot‐assisted laparoscopic surgery

The current study presents a deep learning framework to determine, in real‐time, position and rotation of a target organ from an endoscopic video. These inferred data are used to overlay the 3D model of patient's organ over its real counterpart. The resulting augmented video flow is streamed back to the surgeon as a support during laparoscopic robot‐assisted procedures.

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来源期刊

The international journal of medical robotics + computer assisted surgery : MRCAS

CiteScore

5.30

自引率

0.00%

发文量