Estimation and validation of the frequency responses of a scanner system and an image reconstruction system in X-ray computed tomography
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[1] M F McNitt-Gray,et al. Application of the noise power spectrum in modern diagnostic MDCT: part I. Measurement of noise power spectra and noise equivalent quanta , 2007, Physics in medicine and biology.
[2] Ehsan Samei,et al. Assessment of the dose reduction potential of a model-based iterative reconstruction algorithm using a task-based performance metrology. , 2014, Medical physics.
[3] E L Nickoloff,et al. Measurement of the PSF for a CT scanner: appropriate wire diameter and pixel size. , 1988, Physics in medicine and biology.
[4] Jacques Felblinger,et al. CT image quality improvement using adaptive iterative dose reduction with wide-volume acquisition on 320-detector CT , 2012, European Radiology.
[5] Hangyi Jiang,et al. Effect of window function on noise power spectrum measurements in digital x-ray imaging , 2002, SPIE BiOS.
[6] R. F. Wagner,et al. Application of information theory to the assessment of computed tomography. , 1979, Medical physics.
[7] Rainer Raupach,et al. The effect of dose reduction and feasibility of edge-preserving noise reduction on the detection of liver lesions using MSCT , 2007, European Radiology.
[8] N. Homma,et al. Tilted-wire method for measuring resolution properties of CT images under extremely low-contrast and high-noise conditions , 2018, Radiological Physics and Technology.
[9] Issei Mori,et al. Deriving the modulation transfer function of CT from extremely noisy edge profiles , 2009, Radiological physics and technology.
[10] Alvin C. Silva,et al. Innovations in CT dose reduction strategy: application of the adaptive statistical iterative reconstruction algorithm. , 2010, AJR. American journal of roentgenology.
[11] J. Hsieh. Adaptive streak artifact reduction in computed tomography resulting from excessive x-ray photon noise. , 1998, Medical physics.
[12] S J Riederer,et al. Noise Due to Photon Counting Statistics in Computed X‐Ray Tomography , 1977, Journal of computer assisted tomography.
[13] Miwa Okumura,et al. New method of evaluating edge-preserving adaptive filters for computed tomography (CT): digital phantom method. , 2006, Nihon Hoshasen Gijutsu Gakkai zasshi.
[14] Thomas L Toth,et al. Low-dose CT of the abdomen: evaluation of image improvement with use of noise reduction filters pilot study. , 2003, Radiology.
[15] M F Kijewski,et al. The noise power spectrum of CT images. , 1987, Physics in medicine and biology.
[16] Ehsan Samei,et al. Towards task-based assessment of CT performance: System and object MTF across different reconstruction algorithms. , 2012, Medical physics.
[17] S. Sanada,et al. Image quality dependence on in-plane positions and directions for MDCT images. , 2010, European journal of radiology.
[18] J M Boone,et al. Determination of the presampled MTF in computed tomography. , 2001, Medical physics.
[19] Francis R Verdun,et al. Iterative reconstruction methods in two different MDCT scanners: physical metrics and 4-alternative forced-choice detectability experiments--a phantom approach. , 2013, Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics.
[20] S. Riederer,et al. The noise power spectrum in computed X-ray tomography. , 1978, Physics in medicine and biology.
[21] W. Kalender,et al. Generalized multi-dimensional adaptive filtering for conventional and spiral single-slice, multi-slice, and cone-beam CT. , 2001, Medical physics.
[22] G H Glover,et al. Theoretical Resolution of Computed Tomography Systems , 1979, Journal of computer assisted tomography.