Perceptual Method for Mri Medical Images Improvement in Presence of Impulse Noise

Abbas, Jamal K.; Ruhaima, A. A-K.; Alanssari, Ali Ihsan; Pyliavskyi, Volodymyr

doi:10.1615/telecomradeng.v79.i1.80

Cited by 4 publications

(2 citation statements)

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“…Diffusion tensor imaging (DTI), as a quantitative diagnostic imaging technique, has so far been mainly used in the clinical diagnosis of central nervous system lesions; however, with the gradual popularization of DTI technology, there have been reports locally and abroad that it has been applied to other soft tissue lesions other than the central nervous system, along with the use of MRI and DTI to study normal anterior cruciate ligament and anterior cruciate ligament injury reconstruction. Moreover, there are few DTI studies on the grading of cruciate ligament injury; the application of DTI-based tractography (DTT) to evaluate the diagnostic effect of different grades of anterior cruciate ligament injury has not been seen [ 12 ]. In this study, DTI and DTT techniques were used to observe the fractional anisotropy (FA) value and apparent diffusion coefficient (ADC) value of the anisotropy fraction (FA) and apparent diffusion coefficient (ADC) of the injured anterior cruciate ligament and the corresponding parts of the normal group and with different degrees of injury, and its correlation with the degree of injury, in order to compare the diagnostic value of DTT in grading the degree of anterior cruciate ligament injury.…”

Section: Literature Reviewmentioning

confidence: 99%

MRI View of Rehabilitation Methods to Relieve Anterior Cruciate Ligament Injury in Dancers

Yang

2022

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In order to solve the problem of the difference in the diagnostic effect of different sequences of magnetic resonance imaging (MRI) examinations for anterior and posterior cruciate ligament injuries, the author proposes an MRI rehabilitation method to relieve anterior cruciate ligament injury in dancers. This method retrospectively analyzed the clinical data of 60 patients with knee anterior and posterior cruciate ligament injuries in our hospital, and all patients were diagnosed with knee anterior and posterior cruciate ligament injuries. All patients underwent MRI 3D sequence and 2D sequence examination successively to compare anatomical measurements. This study aimed at comparing the measurements of the posterior cruciate ligament (PCL) and anterior cruciate ligament (ACL) between the two examination sequences; comparing the diagnosis; comparing the grading and judgment of the anterior and posterior cruciate ligament injuries of the knee joint between the two inspection sequences; and comparing the diagnostic coincidence rates of the two examination sequences in the complete tear of the anterior and posterior cruciate ligaments of the knee. Experimental results show that, in terms of PCL and ACL, the angle, thickness, and length of two-dimensional MRI examination were significantly different from those of MRI examination and anatomical measurement ( P < 0.05 ); for PCL and ACL, the angle, thickness, and length of 3D MRI were not significantly different from anatomical measurements ( P > 0.05 ). The diagnostic accuracy of 2D MRI was 83.33%, which was lower than 95.00% of 3D MRI ( P < 0.05 ). There was no significant difference in the grading of anterior and posterior cruciate ligament injuries between the two examination sequences ( P > 0.05 ). The diagnostic coincidence rates of 3D MRI and 2D MRI for complete tear of the anterior and posterior cruciate ligaments were 95.55% and 80.00%, respectively ( P < 0.05 ). In conclusion, three-dimensional MRI examination can obtain higher diagnostic value for patients with knee joint anterior and posterior cruciate ligament injury.

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Section: Literature Reviewmentioning

confidence: 99%

MRI View of Rehabilitation Methods to Relieve Anterior Cruciate Ligament Injury in Dancers

Yang

2022

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“…The Monte Carlo method is a mathematical technique used to estimate the probable outcomes of uncertain events that relies on nding a probability distribution that ts the frequency gradations. The Monte Carlo method simulates changes with the same distribution and the same real values [12].…”

Section: Introductionmentioning

confidence: 99%

Rayleigh-Monte Carlo Method for Image Noise Detection and Elimination

Abbas,

Ruhaima,

Hayder

et al. 2023

Preprint

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The issue of identifying areas of distortion in images is a common problem encountered in digital media processing. Traditional filtering methods often rely on setting thresholds that are dependent on the specific image being processed, leading to imprecise results. Adaptive filters have been proposed as a solution, but they are not without their technical difficulties. This paper presents a study on the effectiveness of the Rayleigh distribution method in identifying distortion areas in images. Monte Carlo estimation was used to estimate the distribution of image content, and the results showed that the Rayleigh distribution is highly efficient at identifying areas of distortion. The filtering process was then applied only to the regions with deformation, while ensuring that all other features of the image were preserved. The novelty of this study lies in the use of the Rayleigh distribution method to identify areas of distortion in images. The purpose of this study was to improve the quality of images by using a more precise filtering method that only targets distorted areas. The theoretical framework of this study is based on the application of the Rayleigh distribution method in digital media processing. The approach used in this study involved the use of Monte Carlo estimation to determine the effectiveness of the Rayleigh distribution method. The findings of this study show that the Rayleigh distribution method is highly effective in identifying areas of distortion in images, leading to higher quality images than traditional filtering methods. The research findings have practical implications for digital media processing industries, where the quality of images is paramount. By using the Rayleigh distribution method, images can be processed more efficiently, leading to improved quality and reduced processing time. Socially, improved image quality can have a positive impact on areas such as medical imaging, where accurate and high-quality images are crucial for diagnosis and treatment. Overall, this study offers an original and effective solution to the problem of identifying areas of distortion in images. By using the Rayleigh distribution method, images can be processed more precisely, leading to higher quality results. The use of Monte Carlo estimation provides a solid foundation for future research in this area.

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