scholarly journals Segmentation of Covid-19 Affected X-Ray Image using K-means and DPSO Algorithm

Author(s):  
Roopa Kumari ◽  
Neena Gupta ◽  
Narender Kumar

Covid-19, a disease that originated in the Chinese city of Wuhan, has spread across almost the entire globe. Pneumonia, which infects the lungs, is one of the symptoms of this disease. In the past X-ray images were used to segment various diseases such as pneumonia, tuberculosis, or lung cancer. Recent studies showed that Covid-19 affects the lungs. As a result, an X-ray imaging could help to detect and diagnose Covid-19 infection. This study presents a novel hybrid algorithm (CHDPSOK) for segmenting a Covid-19 infected X-ray image. To find Covid-19 contamination in the lungs, we use a segmentation-based approach using K-means and Dynamic PSO algorithm. In the present paper, segmentation of infected regions in the X-ray image uses a cumulative histogram to initialize the population of the PSO algorithm. In a dynamic PSO algorithm, the velocity of the particle changes dynamically which is useful to avoid the local minima. K-means is used to change the position of the particle dynamically for better convergence. To validate the segmentation performance of our algorithm, we used the Kaggle dataset in our experiments. The performance of the proposed method is analyzed both qualitatively and quantitatively. The results explicitly demonstrate the outperformance of the proposed algorithm.

2013 ◽  
Vol 21 (2) ◽  
pp. 10-15 ◽  
Author(s):  
Arno P. Merkle ◽  
Jeff Gelb

X rays are universally valued for their ability to penetrate opaque objects. It is only within the past few decades that their short wavelengths have also been exploited to provide 3D imaging of the objects' interiors with resolution well beyond that of light microscopy (LM) in a wide variety of applications. This article explores X-ray imaging as a quantitative sub-micron nanoscale microscopy technique, and specifically its emergent role within the context of the central microscopy laboratory.


2022 ◽  
Author(s):  
Aleksey V. Smirnov ◽  
Dmitriy S. Semenov ◽  
Ekaterina S. Ahkmad ◽  
Anna N. Khoruzhaya ◽  
Sergey Aleksandrovich Kruchinin

Diagnostic studies carried out using any medical equipment require comprehensive control, which is provided by a number of regulatory documents. Particular attention is paid to X-ray imaging methods, but in the field of magnetic resonance imaging (MRI), one can notice both the lack of this attention and the multidirectional efforts to normalize. This is understandable - this diagnostic method is not based on the use of ionizing radiation, and although magnetic fields have some effect on human health, especially on personnel who work in MRI rooms all the time, they are safe for patients who come to the diagnostic procedure from time to time. time and do not have in their body foreign metal (steel implants) or electronic (pacemakers, neurostimulators) objects. However, ignorance and non-compliance with both advisory and mandatory requirements can significantly increase the risk of harm to patients or staff, as well as lead to a decrease in the quality of imaging and diagnostics. A separate feature of the field of MRI regulation is that over the past decades, more than a dozen different standards, sanitary norms, rules, letters and recommendations have been published or revised, a significant part of which complement or duplicate each other, or completely contradict each other. As a result, the need to ensure compliance of the MRI room / department with the requirements of regulatory documents is greatly complicated. This paper provides an overview of the regulatory documentation in force in Russia related to the organization and functioning of an MRI room / department, highlights the aspects that are most important from the point of view of safe and high-quality operation, and formulates the steps necessary to modernize the system, both from the point of view of the quality of diagnostics. and the safety of MRI studies.


Author(s):  
Laurent Babout ◽  
Krzysztof Grudzień ◽  
Marcin Janaszewski ◽  
Łukasz Jopek

This paper reviews the work that has been done in the past 10 years at the Lodz University of technology about the visualization and the quantification of phenomena related to degradation processes (i.e. stress corrosion cracking in stainless steel, fatigue crack in titanium alloys) in engineering materials as well as granular flow in silos using X-ray imaging (i.e. radiography and (micro)tomography). Besides presenting the experimental protocols, the paper also presents the image processing strategies that have been applied to enable the extraction of characteristic parameters from the volumetric images.


Sign in / Sign up

Export Citation Format

Share Document