Зниження шуму в КТ зображенні на основі адаптивного порогового оброблення

• Дата: 2019
• Автор: Petrov, Miroslav
• Формат: Стаття
• Мова: English
• Опубліковано: The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute" 2019
• Теми: repagular wavelet transform; statistical noise reduction; x-ray computed tomography; репагулярне вейвлет-перетворення; статистичне шумозниження; рентгенівська комп'ютерна томографія; репагулярное вейвлет-преобразование; статистическое шумопонижение; рентгеновская компьютерная томография
• Онлайн доступ: http://journal.iasa.kpi.ua/article/view/179139
• Назва журналу: System research and information technologies

The noise in reconstructed X-ray Computed Tomography (CT) slices is complex, non-stationary and indefinitely distributed. Subsequent image processing is needed in order to achieve a good-quality medical diagnosis. It requires a sufficiently great ratio between the detailed contrasts and the noise component amplitude. This paper presents an adaptive method for noise reduction in CT images, based on the local statistical evaluation of the noise component in the domain of Repagular Wavelet Transformation (RWT). Considering the spatial dependence of the noise strength, the threshold constant for processing the high frequency coefficients in the proposed shrinkage method is a function of the local standard deviation of the noise for each pixel of the image. Experimental studies have been conducted using different images in order to evaluate the effectiveness of the proposed algorithm.