Andrew Karellas to Phantoms, Imaging
This is a "connection" page, showing publications Andrew Karellas has written about Phantoms, Imaging.
Connection Strength
1.151
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Vedantham S, Karellas A. X-ray phase contrast imaging of the breast: analysis of tissue simulating materials. Med Phys. 2013 Apr; 40(4):041906.
Score: 0.387
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Sechopoulos I, Vedantham S, Suryanarayanan S, D'Orsi CJ, Karellas A. Monte Carlo and phantom study of the radiation dose to the body from dedicated CT of the breast. Radiology. 2008 Apr; 247(1):98-105.
Score: 0.272
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Tseng HW, Vedantham S, Cho SH, Karellas A. Joint Optimization of Collimator and Reconstruction Parameters in X-Ray Fluorescence Computed Tomography Using Analytical Point Spread Function and Model Observer. IEEE Trans Biomed Eng. 2020 09; 67(9):2443-2452.
Score: 0.154
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Tseng HW, Karellas A, Vedantham S. Dedicated cone-beam breast CT: Data acquisition strategies based on projection angle-dependent normalized glandular dose coefficients. Med Phys. 2023 Mar; 50(3):1406-1417.
Score: 0.047
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Tseng HW, Karellas A, Vedantham S. Cone-beam breast CT using an offset detector: effect of detector offset and image reconstruction algorithm. Phys Med Biol. 2022 04 07; 67(8).
Score: 0.045
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Tseng HW, Karellas A, Vedantham S. Radiation dosimetry of a clinical prototype dedicated cone-beam breast CT system with offset detector. Med Phys. 2021 Mar; 48(3):1079-1088.
Score: 0.042
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Deng L, Yasar S, Ahmed MF, Jayarathna S, Feng P, Wei B, Vedantham S, Karellas A, Cho SH. Investigation of transmission computed tomography (CT) image quality and x-ray dose achievable from an experimental dual-mode benchtop x-ray fluorescence CT and transmission CT system. J Xray Sci Technol. 2019; 27(3):431-442.
Score: 0.036
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Shi L, Vedantham S, Karellas A, Zhu L. X-ray scatter correction for dedicated cone beam breast CT using a forward-projection model. Med Phys. 2017 Jun; 44(6):2312-2320.
Score: 0.032
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Vedantham S, Shrestha S, Karellas A, Shi L, Gounis MJ, Bellazzini R, Spandre G, Brez A, Minuti M. Photon-counting hexagonal pixel array CdTe detector: Spatial resolution characteristics for image-guided interventional applications. Med Phys. 2016 May; 43(5):2118.
Score: 0.030
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Goertz L, Tsiamas P, Karellas A, Sajo E, Zygmanski P. Monte Carlo simulation of a prototypical patient dosimetry system for fluoroscopic procedures. Phys Med Biol. 2015 Aug 07; 60(15):5891-909.
Score: 0.028
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Jones BL, Manohar N, Reynoso F, Karellas A, Cho SH. Experimental demonstration of benchtop x-ray fluorescence computed tomography (XFCT) of gold nanoparticle-loaded objects using lead- and tin-filtered polychromatic cone-beams. Phys Med Biol. 2012 Dec 07; 57(23):N457-67.
Score: 0.024
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Suryanarayanan S, Karellas A, Vedantham S, Sechopoulos I, D'Orsi CJ. Detection of simulated microcalcifications in a phantom with digital mammography: effect of pixel size. Radiology. 2007 Jul; 244(1):130-7.
Score: 0.016
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Vedantham S, Karellas A, Suryanarayanan S, Onishi SK. Solid-state fluoroscopic imager for high-resolution angiography: physical characteristics of an 8 cm x 8 cm experimental prototype. Med Phys. 2004 Jun; 31(6):1462-72.
Score: 0.013
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Suryanarayanan S, Karellas A, Vedantham S, Waldrop SM, D'Orsi CJ. A perceptual evaluation of JPEG 2000 image compression for digital mammography: contrast-detail characteristics. J Digit Imaging. 2004 Mar; 17(1):64-70.
Score: 0.013
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Suryanarayanan S, Karellas A, Vedantham S, Ved H, Baker SP, D'Orsi CJ. Flat-panel digital mammography system: contrast-detail comparison between screen-film radiographs and hard-copy images. Radiology. 2002 Dec; 225(3):801-7.
Score: 0.012