A 3D reconstruction method for pipeline inspection based on multi-vision

Measurement ◽  
2017 ◽  
Vol 98 ◽  
pp. 35-48 ◽  
Author(s):  
Tian Zhang ◽  
Jianhua Liu ◽  
Shaoli Liu ◽  
Chengtong Tang ◽  
Peng Jin
2015 ◽  
Vol 75 (2) ◽  
Author(s):  
Ho Wei Yong ◽  
Abdullah Bade ◽  
Rajesh Kumar Muniandy

Over the past thirty years, a number of researchers have investigated on 3D organ reconstruction from medical images and there are a few 3D reconstruction software available on the market. However, not many researcheshave focused on3D reconstruction of breast cancer’s tumours. Due to the method complexity, most 3D breast cancer’s tumours reconstruction were done based on MRI slices dataeven though mammogram is the current clinical practice for breast cancer screening. Therefore, this research will investigate the process of creating a method that will be able to reconstruct 3D breast cancer’s tumours from mammograms effectively.  Several steps were proposed for this research which includes data acquisition, volume reconstruction, andvolume rendering. The expected output from this research is the 3D breast cancer’s tumours model that is generated from correctly registered mammograms. The main purpose of this research is to come up with a 3D reconstruction method that can produce good breast cancer model from mammograms while using minimal computational cost.


2016 ◽  
Vol 24 (13) ◽  
pp. 14564 ◽  
Author(s):  
Michael T. McCann ◽  
Masih Nilchian ◽  
Marco Stampanoni ◽  
Michael Unser

Author(s):  
Kuniaki KAWABATA ◽  
Keita NAKAMURA ◽  
Toshihide HANARI ◽  
Fumiaki ABE ◽  
Kenta SUZUKI

2018 ◽  
Vol 28 (4) ◽  
Author(s):  
Niantao Liu ◽  
Bingxian Lin ◽  
Linwang Yuan ◽  
Guonian Lv ◽  
Zhaoyuan Yu ◽  
...  

2020 ◽  
Author(s):  
Xingzhu Qu ◽  
Jian Zhao ◽  
Yuanyuan Sun ◽  
Lele Wang

Author(s):  
Xiongfeng Peng ◽  
Liaoyuan Zeng ◽  
Wenyi Wang ◽  
Zhili Liu ◽  
Yifeng Yang ◽  
...  

2020 ◽  
Vol 1550 ◽  
pp. 032051
Author(s):  
Yun-peng Liu ◽  
Xing-peng Yan ◽  
Ning Wang ◽  
Xin Zhang ◽  
Zhe Li

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