Principles of Fluoroscopic Image Intensification and Television Systems

2020 ◽  
Author(s):  
Robert J. Parelli
Keyword(s):  
Fluoroscopic Image ◽  
Image Intensification

Principles of Fluoroscopic Image Intensification and Television Systems: Workbook and Laboratory Manual

Radiology ◽  
1998 ◽  
Vol 206 (2) ◽  
pp. 532-532
Author(s):  
Terri L. Fauber
Keyword(s):  
Laboratory Manual ◽  
Fluoroscopic Image ◽  
Image Intensification

Medical Applications of Fluoroscopic Image Intensification - III

1959 ◽  
Vol ME-6 (2) ◽  
pp. 82-83 ◽  
Author(s):  
John Kirkpatrick
Keyword(s):  
Medical Applications ◽  
Fluoroscopic Image ◽  
Image Intensification

Medical Applications of Fluoroscopic Image Intensification - I

1959 ◽  
Vol ME-6 (2) ◽  
pp. 75-78
Author(s):  
George Henny
Keyword(s):  
Medical Applications ◽  
Fluoroscopic Image ◽  
Image Intensification

Application of Television Electronics to Fluoroscopic Image Intensification

Radiology ◽  
1953 ◽  
Vol 61 (1) ◽  
pp. 111-112
Keyword(s):  
Fluoroscopic Image ◽  
Image Intensification

Medical Applications of Fluoroscopic Image Intensification - II

1959 ◽  
Vol ME-6 (2) ◽  
pp. 78-81
Author(s):  
Herbert M. Stauffer
Keyword(s):  
Medical Applications ◽  
Fluoroscopic Image ◽  
Image Intensification

The accuracy of pedicle screw placement using intraoperative image guidance systems

2014 ◽  
Vol 20 (2) ◽  
pp. 196-203 ◽  
Author(s):  
Alexander Mason ◽  
Renee Paulsen ◽  
Jason M. Babuska ◽  
Sharad Rajpal ◽  
Sigita Burneikiene ◽  
...  
Keyword(s):  
Pedicle Screw ◽  
Image Guidance ◽  
Pedicle Screws ◽  
Screw Placement ◽  
Data Sets ◽  
Pedicle Screw Placement ◽  
Fluoroscopic Image ◽  
Fluoroscopic Navigation ◽  
Guidance Systems ◽  
Accuracy Rates

Object Several retrospective studies have demonstrated higher accuracy rates and increased safety for navigated pedicle screw placement than for free-hand techniques; however, the accuracy differences between navigation systems has not been extensively studied. In some instances, 3D fluoroscopic navigation methods have been reported to not be more accurate than 2D navigation methods for pedicle screw placement. The authors of this study endeavored to identify if 3D fluoroscopic navigation methods resulted in a higher placement accuracy of pedicle screws. Methods A systematic analysis was conducted to examine pedicle screw insertion accuracy based on the use of 2D, 3D, and conventional fluoroscopic image guidance systems. A PubMed and MEDLINE database search was conducted to review the published literature that focused on the accuracy of pedicle screw placement using intraoperative, real-time fluoroscopic image guidance in spine fusion surgeries. The pedicle screw accuracy rates were segregated according to spinal level because each spinal region has individual anatomical and morphological variations. Descriptive statistics were used to compare the pedicle screw insertion accuracy rate differences among the navigation methods. Results A total of 30 studies were included in the analysis. The data were abstracted and analyzed for the following groups: 12 data sets that used conventional fluoroscopy, 8 data sets that used 2D fluoroscopic navigation, and 20 data sets that used 3D fluoroscopic navigation. These studies included 1973 patients in whom 9310 pedicle screws were inserted. With conventional fluoroscopy, 2532 of 3719 screws were inserted accurately (68.1% accuracy); with 2D fluoroscopic navigation, 1031 of 1223 screws were inserted accurately (84.3% accuracy); and with 3D fluoroscopic navigation, 4170 of 4368 screws were inserted accurately (95.5% accuracy). The accuracy rates when 3D was compared with 2D fluoroscopic navigation were also consistently higher throughout all individual spinal levels. Conclusions Three-dimensional fluoroscopic image guidance systems demonstrated a significantly higher pedicle screw placement accuracy than conventional fluoroscopy or 2D fluoroscopic image guidance methods.

Image-Guided Transapical Aortic Valve Implantation Sensorless Tracking of Stenotic Valve Landmarks in Live Fluoroscopic Images

2011 ◽  
Vol 6 (4) ◽  
pp. 231-236 ◽  
Author(s):  
Denis R. Merk ◽  
Mohamed Esmail Karar ◽  
Claire Chalopin ◽  
David Holzhey ◽  
Volkmar Falk ◽  
...  
Keyword(s):  
Aortic Valve ◽  
Contrast Agent ◽  
Image Sequences ◽  
Invasive Technique ◽  
Valve Prosthesis ◽  
Tracking Method ◽  
Fluoroscopic Image ◽  
Aortic Valve Implantation ◽  
Valve Implantation ◽  
Contrast Image

Objective Aortic valve stenosis is one of the most frequently acquired valvular heart diseases, accounting for almost 70% of valvular cardiac surgery. Transapical transcatheter aortic valve implantation has recently become a suitable minimally invasive technique for high-risk and elderly patients with severe aortic stenosis. In this article, we aim to automatically define a target area of valve implantation, namely, the area between the coronary ostia and the lowest points of two aortic valve cusps. Therefore, we present a new image-based tracking method of these aortic landmarks to assist in the placement of aortic valve prosthesis under live 2D fluoroscopy guidance. Methods We propose a rigid intensity-based image registration technique for tracking valve landmarks in 2D fluoroscopic image sequences, based on a real-time alignment of a contrast image including the initialized manual valve landmarks to each image of sequence. The contrast image is automatically detected to visualize aortic valve features when the aortic root is filled with a contrast agent. Results Our registration-based tracking method has been retrospectively applied to 10 fluoroscopic image sequences from routine transapical aortic valve implantation procedures. Most of all tested fluoroscopic images showed a successful tracking of valve landmarks, especially for the images without contrast agent injections. Conclusions A new intraoperative image-based method has been developed for tracking aortic valve landmarks in live 2D fluoroscopic images to assist transapical aortic valve implantations and to increase the overall safety of surgery as well.

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