Improved Nonlocal Means for Low-Dose X-Ray CT Image

2016 ◽  
Author(s):  
Junfeng Zhang ◽  
Yang Chen ◽  
Limin Luo
Keyword(s):  
Low Dose ◽  
Ct Image ◽  
Nonlocal Means ◽  
X Ray

scholarly journals Applications of nonlocal means algorithm in low-dose X-ray CT image processing and reconstruction: A review

2017 ◽  
Vol 44 (3) ◽  
pp. 1168-1185 ◽  
Author(s):  
Hao Zhang ◽  
Dong Zeng ◽  
Hua Zhang ◽  
Jing Wang ◽  
Zhengrong Liang ◽  
...  
Keyword(s):  
Image Processing ◽  
Low Dose ◽  
Ct Image ◽  
Nonlocal Means ◽  
X Ray

scholarly journals Thoracic low-dose CT image processing using an artifact suppressed large-scale nonlocal means

2012 ◽  
Vol 57 (9) ◽  
pp. 2667-2688 ◽  
Author(s):  
Yang Chen ◽  
Zhou Yang ◽  
Yining Hu ◽  
Guanyu Yang ◽  
Yongcheng Zhu ◽  
...  
Keyword(s):  
Image Processing ◽  
Large Scale ◽  
Low Dose ◽  
Ct Image ◽  
Nonlocal Means ◽  
Low Dose Ct

Motion-adaptive 3D nonlocal means filter based on stochastic distance for low-dose X-ray fluoroscopy

2017 ◽  
Vol 38 ◽  
pp. 74-85 ◽  
Author(s):  
Min Seok Lee ◽  
Sang Wook Park ◽  
Sang Yoon Lee ◽  
Moon Gi Kang
Keyword(s):  
Low Dose ◽  
Nonlocal Means ◽  
X Ray

An Adjustable Dynamic Self-Adapting OSEM Approach to Low-Dose X-Ray CT Image Reconstruction

2018 ◽  
pp. 385-396
Author(s):  
Jinhua Sheng ◽  
Bin Chen ◽  
Bocheng Wang ◽  
Yangjie Ma ◽  
Qingqiang Liu ◽  
...  
Keyword(s):  
Image Reconstruction ◽  
Low Dose ◽  
Ct Image ◽  
X Ray ◽  
Ct Image Reconstruction

Fast Low-Dose CT Image Processing Using Improved Parallelized Nonlocal Means Filtering

2014 ◽  
Author(s):  
Zhikun Zhuang ◽  
Yang Chen ◽  
Huazhong Shu ◽  
Limin Luo ◽  
Christine Toumoulin ◽  
...  
Keyword(s):  
Image Processing ◽  
Low Dose ◽  
Ct Image ◽  
Nonlocal Means ◽  
Low Dose Ct

Adaptive nonlocal means-based regularization for statistical image reconstruction of low-dose X-ray CT

2015 ◽  
Author(s):  
Hao Zhang ◽  
Jianhua Ma ◽  
Jing Wang ◽  
Yan Liu ◽  
Hao Han ◽  
...  
Keyword(s):  
Image Reconstruction ◽  
Low Dose ◽  
Nonlocal Means ◽  
X Ray ◽  
Statistical Image Reconstruction

Estimation of the noise in TEM image recorded on “imaging plate”

1987 ◽  
Vol 45 ◽  
pp. 748-749
Author(s):  
T. Oikawa ◽  
N. Mori ◽  
T. Katoh ◽  
Y. Harada ◽  
J. Miyahara ◽  
...  
Keyword(s):  
Low Dose ◽  
Quantum Noise ◽  
Laser Light ◽  
Imaging Plate ◽  
Total System ◽  
Electron Dose ◽  
X Ray ◽  
Image Recording ◽  
Recording Material ◽  
Highly Sensitive

The “Imaging Plate”(IP) is a highly sensitive image recording plate for X-ray radiography. It has been ascertained that the IP has superior properties and high practicability as an image recording material in a TEM. The sensitivity, one of the properties, is about 3 orders higher than that of conventional photo film. The IP is expected to be applied to low dose techniques. In this paper, an estimation of the quantum noise on the TEM image which appears in case of low electron dose on the IP is reported.In this experiment, the JEM-2000FX TEM and an IP having the same size as photo film were used.Figure 1 shows the schematic diagram of the total system including the TEM used in this experiment. In the reader, He-Ne laser light is scanned across the IP, then blue light is emitted from the IP.

Interactive multiple area spectrum integration (MASI)

1994 ◽  
Vol 52 ◽  
pp. 942-943
Author(s):  
John A. Hunt ◽  
Richard D. Leapman ◽  
David B. Williams
Keyword(s):  
Image Processing ◽  
Low Dose ◽  
Routine Analysis ◽  
Reference Image ◽  
Area Spectrum ◽  
List Type ◽  
Type Number ◽  
Image Processor ◽  
X Ray ◽  
Scanning Path

Interactive MASI involves controlling the raster of a STEM or SEM probe to areas predefined byan integration mask which is formed by image processing, drawing or selecting regions manually. EELS, x-ray, or other spectra are then acquired while the probe is scanning over the areas defined by the integration mask. The technique has several advantages: (1) Low-dose spectra can be acquired by averaging the dose over a great many similar features. (2) MASI can eliminate the risks of spatial under- or over-sampling of multiple, complicated, and irregularly shaped objects. (3) MASI is an extremely rapid and convenient way to record spectra for routine analysis. The technique is performed as follows:Acquire reference imageOptionally blank beam for beam-sensitive specimensUse image processor to select integration mask from reference imageCalculate scanning path for probeUnblank probe (if blanked)Correct for specimen drift since reference image acquisition

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