글로벌 연구동향
의학물리학
- 2024년 04월호
[Phys Med Biol .] Measurements of the noise power spectrum for digital x-ray imaging devices한국외대 / 김동식*
- 출처
- Phys Med Biol .
- 등재일
- 2024 Jan 19
- 저널이슈번호
- 69(3). doi: 10.1088/1361-6560/ad1999.
- 내용
Abstract
Objective.The noise characteristics of digital x-ray imaging devices are determined by contributions such as photon noise, electronic noise, and fixed pattern noise, and can be evaluated from measuring the noise power spectrum (NPS), which is the power spectral density of the noise. Hence, accurately measuring NPS is important in developing detectors for acquiring low-noise digital x-ray images. To make accurate measurements, it is necessary to understand NPS, identify problems that may arise, and know how to process the obtained x-ray images.Approach.The primitive concept of NPS is first introduced with a periodogram-based estimate and its bias and variance are discussed. In measuring NPS based on the IEC62220 standards, various issues, such as the fixed pattern noise, high-precision estimates, and lag corrections, are summarized with simulation examples.Main results.High-precision estimates can be provided for an appropriate number of samples extracted from x-ray images while compromising spectral resolution. Depending on medical imaging systems, by eliminating the influence of fixed pattern noise, NPS, which represents only photon and electronic noise, can be efficiently measured. For NPS measurements in dynamic detectors, an appropriate lag correction technique can be selected depending on the emitted x-rays and image acquisition process.Significance.Various issues in measuring NPS are reviewed and summarized for accurately evaluating the noise performance of digital x-ray imaging devices.Affiliation
Dong Sik Kim 1
1Department of Electronics Engineering, Hankuk University of Foreign Studies, Yongin-si, Gyeonggi-do, 449-791, Republic of Korea.
- 키워드
- digital x-ray imaging device; fixed pattern noise; flat panel detector; gain correction; lag correction factor; noise power spectrum; radiography imaging.
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