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Toward Real-Time Video-Enhanced Augm...

Bensch, Alexander Maxwell.

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Toward Real-Time Video-Enhanced Augmented Reality for Medical Visualization and Simulation.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Toward Real-Time Video-Enhanced Augmented Reality for Medical Visualization and Simulation./
作者:	Bensch, Alexander Maxwell.
面頁冊數:	107 p.
附註:	Source: Masters Abstracts International, Volume: 55-03.
Contained By:	Masters Abstracts International55-03(E).
標題:	Medical imaging. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1605491
ISBN:	9781339324210

Toward Real-Time Video-Enhanced Augmented Reality for Medical Visualization and Simulation.
Bensch, Alexander Maxwell.

Toward Real-Time Video-Enhanced Augmented Reality for Medical Visualization and Simulation. - 107 p.

Source: Masters Abstracts International, Volume: 55-03.

Thesis (M.S.)--Rochester Institute of Technology, 2015.

In this work we demonstrate two separate forms of augmented reality environments for use with minimally-invasive surgical techniques. In Chapter 2 it is demonstrated how a video feed from a webcam, which could mimic a laparoscopic or endoscopic camera used during an interventional procedure, can be used to identify the pose of the camera with respect to the viewed scene and augment the video feed with computer-generated information, such as rendering of internal anatomy not visible beyond the image surface, resulting in a simple augmented reality environment. Chapter 3 details our implementation of a similar system to the one previously mentioned, albeit with an external tracking system.

ISBN: 9781339324210Subjects--Topical Terms:

3172799
Medical imaging.

Toward Real-Time Video-Enhanced Augmented Reality for Medical Visualization and Simulation.
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500 $a Adviser: Cristian A. Linte.
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520 $a In this work we demonstrate two separate forms of augmented reality environments for use with minimally-invasive surgical techniques. In Chapter 2 it is demonstrated how a video feed from a webcam, which could mimic a laparoscopic or endoscopic camera used during an interventional procedure, can be used to identify the pose of the camera with respect to the viewed scene and augment the video feed with computer-generated information, such as rendering of internal anatomy not visible beyond the image surface, resulting in a simple augmented reality environment. Chapter 3 details our implementation of a similar system to the one previously mentioned, albeit with an external tracking system.
520 $a Additionally, we discuss the challenges and considerations for expanding this system to support an external tracking system, specifically the Polaris Spectra optical tracker. Because of the relocation of the tracking origin to a point other than the camera center, there is an additional registration step necessary to establish the position of all components within the scene. This modification is expected to increase accuracy and robustness of the system.
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