Vascular enhancement with structure preservation from noisy X-ray angiogram images by employing non-local Hessian-based filter

Optik ◽  
2021 ◽  
Vol 232 ◽  
pp. 166523
Author(s):  
Yongqing Qian ◽  
Zhicheng Wang ◽  
Liang Chen ◽  
Zhenghua Huang
Keyword(s):  
X Ray ◽  
Structure Preservation ◽  
Non Local ◽  
Vascular Enhancement

scholarly journals Non-Local Origin of a Substantial Portion of the Soft X-Ray Background

1984 ◽  
Vol 81 ◽  
pp. 204-210
Author(s):  
George W. Clark
Keyword(s):  
Column Density ◽  
Angular Resolution ◽  
General Trend ◽  
Neutral Hydrogen ◽  
Substantial Portion ◽  
X Ray ◽  
Local Origin ◽  
Sky Survey ◽  
Non Local ◽  
X Ray Background

Comparison of the SAS-3 soft X-ray sky survey (F. Marshall and G. Clark 1984) with the 21-cm neutral hydrogen survey of Stark et al. (1984) confirms the well-known anticorrelation between the counting rates in the C-band (0.10-0.28 keV) and the column density of neutral hydrogen, and demonstrates that this anticorrelation is significant on all angular scales ranging from that of the general trend from the galactic equator to the poles down to the angular resolution of the detector (2°.7 FWHM). Included in this general anticorrelation are numerous instances of what appear to be soft X-ray “shadows” of nearby (100-300 pc) 21-cm features, and several bright X-ray regions coincident with “holes” in the ISM.

Denoising images of dual energy X-ray absorptiometry using non-local means filters

2018 ◽  
Vol 26 (3) ◽  
pp. 395-412 ◽  
Author(s):  
Mugahed A. Al-antari ◽  
Mohammed A. Al-masni ◽  
Mohamed K. Metwally ◽  
Dildar Hussain ◽  
Se-Je Park ◽  
...  
Keyword(s):  
Dual Energy ◽  
X Ray ◽  
Local Means ◽  
Non Local

scholarly journals Patch-Based Adaptive Background Subtraction for Vascular Enhancement in X-Ray Cineangiograms

2019 ◽  
Vol 23 (6) ◽  
pp. 2563-2575 ◽  
Author(s):  
Shuang Song ◽  
Alejandro F. Frangi ◽  
Jian Yang ◽  
Danni Ai ◽  
Chenbing Du ◽  
...  
Keyword(s):  
Background Subtraction ◽  
X Ray ◽  
Vascular Enhancement

scholarly journals Archaeometallurgical Investigations of the Early Iron Age Casting Workshop at Kamieniec. A Preliminary Study

2016 ◽  
Vol 16 (3) ◽  
pp. 29-34 ◽  
Author(s):  
A. Garbacz-Klempka ◽  
Ł. Kowalski ◽  
J. Kozana ◽  
J. Gackowski ◽  
M. Perek-Nowak ◽  
...  
Keyword(s):  
Iron Age ◽  
Energy Dispersive ◽  
Data Set ◽  
X Ray ◽  
Xrf Scanning ◽  
Non Local ◽  
Preliminary Study ◽  
Dendritic Microstructures ◽  
Analysis System ◽  
Shrinkage Cavities

Abstract This preliminary study characterizes the bronze metalworking on a defensive settlement of the Lusatian culture in former Kamieniec (Chełmno land, Poland) as it is reflected through casting workshop recovered during recent excavations. Among ready products, the ones giving evidence of local metallurgy (e.g. casting moulds and main runners) were also identified. With the shrinkage cavities and dendritic microstructures revealed, the artifacts prove the implementing a casting method by the Lusatian culture metalworkers. The elemental composition indicates application of two main types of bronzes: Cu-Sn and Cu-Pb. Aside these main alloying additions, some natural impurities such as silver, arsenic, antimony and nickel were found which may be attributed to the origin of the ore and casting technology. The collection from Kamieniec was described in terms of its structure and composition. The investigations were made by means of the energy dispersive X-ray fluorescence spectroscopy (ED-XRF), scanning electron microscopy (SEM) coupled with an energy dispersive X-ray analysis system (EDS) and optical microscopy (OM). In order to fingerprint either local or non-local profile of the alloys, the ED-XRF data-set was statistically evaluated using a factor analysis (FA).

scholarly journals CircleNet for Hip Landmark Detection

2020 ◽  
Vol 34 (07) ◽  
pp. 12370-12377
Author(s):  
Hai Wu ◽  
Hongtao Xie ◽  
Chuanbin Liu ◽  
Zheng-Jun Zha ◽  
Jun Sun ◽  
...  
Keyword(s):  
Object Detection ◽  
Critical Role ◽  
Developmental Dysplasia ◽  
Context Modeling ◽  
Modeling Framework ◽  
Landmark Detection ◽  
X Ray ◽  
Detection Techniques ◽  
Non Local ◽  
First Time

Landmark detection plays a critical role in diagnosis of Developmental Dysplasia of the Hip (DDH). Heatmap and anchor-based object detection techniques could obtain reasonable results. However, they have limitations in both robustness and precision given the complexities and inhomogeneity of hip X-ray images. In this paper, we propose a much simpler and more efficient framework called CircleNet to improve the accuracy of landmark detection by predicting landmark and corresponding radius. Using the CircleNet, we not only constrain the relationship between landmarks but also integrate landmark detection and object detection into an end-to-end framework. In order to capture the effective information of the long-range dependency of landmarks in the DDH image, here we propose a new context modeling framework, named the Local Non-Local (LNL) block. The LNL block has the benefits of both non-local block and lightweight computation. We construct a professional DDH dataset for the first time and evaluate our CircleNet on it. The dataset has the largest number of DDH X-ray images in the world to our knowledge. Our results show that the CircleNet can achieve the state-of-the-art results for landmark detection on the dataset with a large margin of 1.8 average pixels compared to current methods. The dataset and source code will be publicly available.

Sign in / Sign up

Export Citation Format

Share Document