Purpose: Recently, a new method has been devised to measure the anisotropic 2-dimensional noise power spectrum (2D-NPS) in computed tomography. The 2D-NPS varied with the X-ray tube angle θ in the helical scan; it was defined as 2D-NPS. However, the method requires many scans to obtain the 2D-NPS for each θ with less statistical variability and is laborious. In the present study, the 2D-NPS was assumed to be an identical anisotropic 2D-NPS that rotated around the origin of the spatial frequency domain in conjunction with the rotation of the X-ray tube. We defined the identical 2D-NPS as 2D-NPS and proposed its measurement method with fewer scans.
Methods: The 2D-NPS (θ from 0° to 180° in an increment of 30°) were obtained from noise images acquired by a hundred scans of a water phantom. In the proposed method, the 2D-NPS were obtained from noise images by 2 scans, rotated backward around the origin by θ to generate the identical 2D-NPS, and averaged to generate the 2D-NPS.
Results: The 2D-NPS, when it was rotated by θ, agreed well with the corresponding 2D-NPS. Absolute values of the mean and standard deviation of percentage errors of the 2D-NPS with the corresponding 2D-NPS at each θ were less than 0.70% and 6.12%, respectively.
Conclusion: The proposed method was suggested to be valid for simple measurement of anisotropic 2D-NPS.
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http://dx.doi.org/10.6009/jjrt.25-1528 | DOI Listing |
Nihon Hoshasen Gijutsu Gakkai Zasshi
February 2025
Department of Radiology, Division of Medical Technology, Niigata University Medical and Dental Hospital.
Purpose: Recently, a new method has been devised to measure the anisotropic 2-dimensional noise power spectrum (2D-NPS) in computed tomography. The 2D-NPS varied with the X-ray tube angle θ in the helical scan; it was defined as 2D-NPS. However, the method requires many scans to obtain the 2D-NPS for each θ with less statistical variability and is laborious.
View Article and Find Full Text PDFNihon Hoshasen Gijutsu Gakkai Zasshi
October 2023
Division of Radiology, Niigata University Medical and Dental Hospital.
Purpose: The noise power spectrum (NPS) in computed tomography (CT) images potentially varies with the X-ray tube angle in a spiral orbit of the helical scan. The purpose of this study was to propose a method for measuring the NPS for each angle of the X-ray tube.
Methods: Images of the water phantom were acquired using a helical scan.
Nihon Hoshasen Gijutsu Gakkai Zasshi
April 2022
Division of Radiology, Niigata University Medical and Dental Hospital.
Purpose: The noise power spectrum (NPS) of a CT scanner is commonly measured from a single noise image. However, since CT images are three-dimensional (3D) volume data, they have 3D noise characteristics (3D-NPS). In this study, we clarify the relationship among NPSs measured by various approaches in NPS analysis based on the central slice theorem.
View Article and Find Full Text PDFMed Phys
March 2022
School of Integrated Technology, Yonsei University, Incheon, South Korea.
Purpose: The noise power spectrum (NPS) plays a key role in image quality (IQ) evaluation as it can be used for predicting detection performance or calculating detective quantum efficiency (DQE). Traditionally, the NPS is estimated by ensemble averaging multiple realizations of noise-only images. However, the estimation error increases when there are a limited number of images.
View Article and Find Full Text PDFAnal Chem
January 2022
Department of Chemistry, University at Albany, State University of New York, 1400 Washington Avenue, Albany, New York 12222, United States.
Here, we report a biomarker-free detection of various biological targets through a programmed machine learning algorithm and an automated computational selection process termed algorithmically guided optical nanosensor selector (AGONS). The optical data processed/used by algorithms are obtained through a nanosensor array selected from a library of nanosensors through AGONS. The nanosensors are assembled using two-dimensional nanoparticles (2D-nps) and fluorescently labeled single-stranded DNAs (F-ssDNAs) with random sequences.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!