scholarly journals Targeted-HASTE imaging with automated device tracking for MR-guided needle interventions in closed-bore MR systems

2006 ◽  
Vol 56 (3) ◽  
pp. 481-488 ◽  
Author(s):  
H. Zimmermann ◽  
S. Müller ◽  
B. Gutmann ◽  
H. Bardenheuer ◽  
A. Melzer ◽  
...  
Author(s):  
Zachary Baum

Purpose: Augmented reality overlay systems can be used to project a CT image directly onto a patient during procedures. They have been actively trialed for computer-guided procedures, however they have not become commonplace in practice due to restrictions of previous systems. Previous systems have not been handheld, and have had complicated calibration procedures. We put forward a handheld tablet-based system for assisting with needle interventions. Methods: The system consists of a tablet display and a 3-D printed reusable and customizable frame. A simple and accurate calibration method was designed to align the patient to the projected image. The entire system is tracked via camera, with respect to the patient, and the projected image is updated in real time as the system is moved around the region of interest. Results: The resulting system allowed for 0.99mm mean position error in the plane of the image, and a mean position error of 0.61mm out of the plane of the image. This accuracy was thought to be clinically acceptable for tool using computer-guidance in several procedures that involve musculoskeletal needle placements. Conclusion: Our calibration method was developed and tested using the designed handheld system. Our results illustrate the potential for the use of augmented reality handheld systems in computer-guided needle procedures. 


2017 ◽  
Vol 2017 (2) ◽  
pp. 133-148 ◽  
Author(s):  
Justin Brookman ◽  
Phoebe Rouge ◽  
Aaron Alva ◽  
Christina Yeung

Abstract Internet advertising and analytics technology companies are increasingly trying to find ways to link behavior across the various devices consumers own. This cross-device tracking can provide a more complete view into a consumer’s behavior and can be valuable for a range of purposes, including ad targeting, research, and conversion attribution. However, consumers may not be aware of how and how often their behavior is tracked across different devices. We designed this study to try to assess what information about cross-device tracking (including data flows and policy disclosures) is observable from the perspective of the end user. Our paper demonstrates how data that is routinely collected and shared online could be used by online third parties to track consumers across devices.


2014 ◽  
Vol 61 (6) ◽  
pp. 1720-1728 ◽  
Author(s):  
Matthew Stephen Holden ◽  
Tamas Ungi ◽  
Derek Sargent ◽  
Robert C. McGraw ◽  
Elvis C. S. Chen ◽  
...  

AORN Journal ◽  
1995 ◽  
Vol 62 (2) ◽  
pp. 260-265
Author(s):  
Page Weed
Keyword(s):  

1994 ◽  
Vol 15 (3) ◽  
pp. 93
Author(s):  
Jolene Overfelt ◽  
Philip L. Day ◽  
Mark S. Jones

Author(s):  
A. Jonathan McLeod ◽  
John S. H. Baxter ◽  
Golafsoun Ameri ◽  
Sugantha Ganapathy ◽  
Terry M. Peters ◽  
...  
Keyword(s):  

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