A surgical navigation system to assist in chronic total occlusion intervention

Jeon, Sangseo; Hwangbo, Seok; Hong, Jin

doi:10.1109/urai.2016.7734038

Cited by 4 publications

(2 citation statements)

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“…For example, [31] introduces a robot vision innovation for digitalizing clinical diagnosis and treatment skills for the evaluation model of postoperative pericardial adhesion using cardiotocography. The author [32] proposed a system that combined the X-ray images with the 3D CT angiography model to assist the surgeon with 3D anatomical data for clinical cardiac intervention. Meanwhile, paper [33] proposed an AR-based navigation model for bone tumor resection procedures providing intuitive visualized information on resection margins.…”

Section: A Medical Sectormentioning

confidence: 99%

Latest Trends in Visual Manipulation and Navigation in Robotics

Amri

Areche

Naik

2023

JNEST

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In recent decades, the term Robot has become more and more popular. A robot can be defined as a machine that is specifically built to complete certain tasks to help human-being. In order to successfully accomplish its task, the robot needs to receive input data and process it. Then, the processed data is used for manipulator-actions decision-making. The input data can vary from sound, temperature, vibration, touch, vision, etc. Among those input data, vision is arguably one of the most challenging data. This is because vision often needs detailed and complicated preprocessing before it can be used. In addition, vision data size is relatively larger compared to the other type of input data, making it more challenging to process considering the computational resources. In this paper, current research and future development trend of robotic vision were reviewed and discussed. Further, challenges and potential issues about robot vision, such as safety and privacy concerns, were also discussed.

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Section: A Medical Sectormentioning

confidence: 99%

Latest Trends in Visual Manipulation and Navigation in Robotics

Amri

Areche

Naik

2023

JNEST

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“…This can lead to misidentification of the coronary artery or incorrect positioning of the stenosis on the coronary artery [5]. The proposed system merged the 3D CT angiography model with X-ray images to provide 3D anatomical information to the surgeon [19].…”

Section: Cardiac Interventionmentioning

confidence: 99%

Augmented Reality in Medicine

Hong

2016

Hanyang Med Rev

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This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.Augmented reality is popular in various fields, and the importance of this technology has been increasing. Its medical application has also been widely studied. Particularly, augmented reality can be a more promising technique of a surgery which requires great precision. This paper introduces an overview of augmented reality and reviews the recent applications in medicine. After describing the basic concepts, brief characteristics of the three components that comprise augmented reality are provided. Various applications implemented in the authors' laboratory are reviewed.

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