Clinic pedicle screw insertion trials and system improvement of a C-arm image navigation system

碩士 === 國立中央大學 === 生物醫學工程研究所 === 100 === C-arm guidance system is developed by integrating image processing, coordinate transformation and projection model estimation. Only two C-arm images are required to compute the orientations and positions of the targets. The locations of surgical instruments ar...

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Main Authors: Alex Tse, 謝仁懋
Other Authors: Ching-Shiow Tseng
Format: Others
Language:zh-TW
Published: 2012
Online Access:http://ndltd.ncl.edu.tw/handle/16806326633779174570
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spelling ndltd-TW-100NCU051140042015-10-13T21:22:37Z http://ndltd.ncl.edu.tw/handle/16806326633779174570 Clinic pedicle screw insertion trials and system improvement of a C-arm image navigation system C-arm影像導引系統於臨床椎弓螺釘植入之應用與改良 Alex Tse 謝仁懋 碩士 國立中央大學 生物醫學工程研究所 100 C-arm guidance system is developed by integrating image processing, coordinate transformation and projection model estimation. Only two C-arm images are required to compute the orientations and positions of the targets. The locations of surgical instruments are also real-time shown on the computer displayed C-arm images, which enable the surgeon to move surgical tools accurately and safely to the target for following treatment. It also reduces radiation exposure during the operation. The system automatically detects coordinates of the marker on the C-arm image by image processing techniques. Those markers are used in image distortion and registration. If the number of being recognized markers could not exceed the system requirements, an additional image is required. Therefore, the level of the recognition rate will affect the ease of use of the guidance system. To improve the successfully recognition rate we analysis 98 C-arm images obtained from clinical try. The overall recognition rate of large marker is increased from 62% to 98%. As for small marker, the quantity of images which recognition rate above 75% is increased from 35 to 80. And recognition rate of all the images are higher than 60%. Due to patient’s breathing, the relative position between C-arm image calibrator and patient is changed during the process of image capture. Using non-synchronized images and coordinate data will cause an incorrect estimation of projection model. We develop a kind of X-ray images synchronized registration method used in surgical guidance system, the method includes four steps: 1. Estimate the latency of fluoroscopic imaging. 2. Continuously obtain relative position between C-arm image calibrator and patient. 3. Measuring image similarity. 4. Reconstruct the relation between images and coordinate transformation. When the C-arm image is refreshed, software would automatically choose a transformation that has a timestamp prior to pre-measured latency. It solves the problem that image and coordinate are non-synchronized. Ching-Shiow Tseng 曾清秀 2012 學位論文 ; thesis 70 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 國立中央大學 === 生物醫學工程研究所 === 100 === C-arm guidance system is developed by integrating image processing, coordinate transformation and projection model estimation. Only two C-arm images are required to compute the orientations and positions of the targets. The locations of surgical instruments are also real-time shown on the computer displayed C-arm images, which enable the surgeon to move surgical tools accurately and safely to the target for following treatment. It also reduces radiation exposure during the operation. The system automatically detects coordinates of the marker on the C-arm image by image processing techniques. Those markers are used in image distortion and registration. If the number of being recognized markers could not exceed the system requirements, an additional image is required. Therefore, the level of the recognition rate will affect the ease of use of the guidance system. To improve the successfully recognition rate we analysis 98 C-arm images obtained from clinical try. The overall recognition rate of large marker is increased from 62% to 98%. As for small marker, the quantity of images which recognition rate above 75% is increased from 35 to 80. And recognition rate of all the images are higher than 60%. Due to patient’s breathing, the relative position between C-arm image calibrator and patient is changed during the process of image capture. Using non-synchronized images and coordinate data will cause an incorrect estimation of projection model. We develop a kind of X-ray images synchronized registration method used in surgical guidance system, the method includes four steps: 1. Estimate the latency of fluoroscopic imaging. 2. Continuously obtain relative position between C-arm image calibrator and patient. 3. Measuring image similarity. 4. Reconstruct the relation between images and coordinate transformation. When the C-arm image is refreshed, software would automatically choose a transformation that has a timestamp prior to pre-measured latency. It solves the problem that image and coordinate are non-synchronized.
author2 Ching-Shiow Tseng
author_facet Ching-Shiow Tseng
Alex Tse
謝仁懋
author Alex Tse
謝仁懋
spellingShingle Alex Tse
謝仁懋
Clinic pedicle screw insertion trials and system improvement of a C-arm image navigation system
author_sort Alex Tse
title Clinic pedicle screw insertion trials and system improvement of a C-arm image navigation system
title_short Clinic pedicle screw insertion trials and system improvement of a C-arm image navigation system
title_full Clinic pedicle screw insertion trials and system improvement of a C-arm image navigation system
title_fullStr Clinic pedicle screw insertion trials and system improvement of a C-arm image navigation system
title_full_unstemmed Clinic pedicle screw insertion trials and system improvement of a C-arm image navigation system
title_sort clinic pedicle screw insertion trials and system improvement of a c-arm image navigation system
publishDate 2012
url http://ndltd.ncl.edu.tw/handle/16806326633779174570
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