دورية أكاديمية

Impact of Iterative Bilateral Filtering on the Noise Power Spectrum of Computed Tomography Images

التفاصيل البيبلوغرافية
العنوان: Impact of Iterative Bilateral Filtering on the Noise Power Spectrum of Computed Tomography Images
المؤلفون: Choirul Anam, Ariij Naufal, Heri Sutanto, Kusworo Adi, Geoff Dougherty
المصدر: Algorithms; Volume 15; Issue 10; Pages: 374
بيانات النشر: Multidisciplinary Digital Publishing Institute
سنة النشر: 2022
المجموعة: MDPI Open Access Publishing
مصطلحات موضوعية: bilateral filter, computed tomography, noise power spectrum
الوصف: A bilateral filter is a non-linear denoising algorithm that can reduce noise while preserving the edges. This study explores the characteristics of a bilateral filter in changing the noise and texture within computed tomography (CT) images in an iterative implementation. We collected images of a homogeneous Neusoft phantom scanned with tube currents of 77, 154, and 231 mAs. The images for each tube current were filtered five times with a configuration of sigma space (σd) = 2 pixels, sigma intensity (σr) = noise level, and a kernel of 5 × 5 pixels. To observe the noise texture in each filter iteration, the noise power spectrum (NPS) was obtained for the five slices of each dataset and averaged to generate a stable curve. The modulation-transfer function (MTF) was also measured from the original and the filtered images. Tests on an anthropomorphic phantom image were carried out to observe their impact on clinical scenarios. Noise measurements and visual observations of edge sharpness were performed on this image. Our results showed that the bilateral filter was effective in suppressing noise at high frequencies, which is confirmed by the sloping NPS curve for different tube currents. The peak frequency was shifted from about 0.2 to about 0.1 mm−1 for all tube currents, and the noise magnitude was reduced by more than 50% compared to the original images. The spatial resolution does not change with the number of iterations of the filter, which is confirmed by the constant values of MTF50 and MTF10. The test results on the anthropomorphic phantom image show a similar pattern, with noise reduced by up to 60% and object edges remaining sharp.
نوع الوثيقة: text
وصف الملف: application/pdf
اللغة: English
العلاقة: Algorithms for Multidisciplinary Applications; https://dx.doi.org/10.3390/a15100374Test
DOI: 10.3390/a15100374
الإتاحة: https://doi.org/10.3390/a15100374Test
حقوق: https://creativecommons.org/licenses/by/4.0Test/
رقم الانضمام: edsbas.72F244E4
قاعدة البيانات: BASE