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A-07 Fusion of Virtual and Real Endoscopic Images

技术优势
Intuitive: synchronized real and virtual 3-D images enable intuitive and convenient diagnosticsAccurate: an incorporated navigation system leads the scope to target destination in complicated bronchi and intestine tubes. Virtual images on the right side of the screen serves as a map like in an automobile GPS system Safe: additional information that are critical for diagnostics or surgeries can be displayed on the screen, such as anatomical information
技术应用
Deformation correction of virtual unfolded images, automatic polyp detection and information under colonic wall enables short time efficient colonic diagnosis..
详细技术说明
It is possible to move freely through virtual large intestine in colon diagnosis using current virtual endoscopy system generated from 3D CT images. However, large intestine has complex shapes with many folds.Developed large area view of virtual unfolded inner wall of large intestine supports efficient diagnoses when used in combination with virtual endoscopy.
*Abstract
New diagnosis support system has been developed using large area view of virtual unfolded inner wall of large intestine generated from patients 3D CT images together with virtual endoscopy..
附加资料
Inventor: Kaiser, Michael Kent | Gans, Nicholas Raphael | Dixon, Warren Everett | Mehta, Siddhartha Satish
Priority Number: US8320616B2
IPC Current: G06K000900
US Class: 382103 | 340988 | 348113 | 348169 | 382190 | 382195 | 382204 | 382205 | 701489 | 701512
Assignee Applicant: University of Florida Research Foundation Inc.inesville
Title: Image-based system and methods for vehicle guidance and navigation
Usefulness: Image-based system and methods for vehicle guidance and navigation
Summary: Method for estimating position and orientation of a vehicle e.g. aerial vehicle such as airplane, using image data.
Novelty: Vehicle`s e.g. aerial vehicle, position and orientation estimating method, involves propagating pose estimations over time interval by chaining pose estimations and succeeding pose estimations with each other
主要类别
汽车
细分类别
辅助驾驶
国家/地区
美国

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