Dr. Greeshma Agasthya Profile

Dr. Greeshma Agasthya

Research Scientist at Oak Ridge National Lab

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Publications (9)

SPIE Journal Paper | 11 December 2017 Open Access

Estimability index for volume quantification of homogeneous spherical lesions in computed tomography

Ehsan Samei, Marthony Robins, Baiyu Chen, Greeshma Agasthya

JMI, Vol. 5, Issue 03, 031404, (December 2017) https://doi.org/10.1117/12.10.1117/1.JMI.5.3.031404

KEYWORDS: Reconstruction algorithms, Computed tomography, Image segmentation, Spherical lenses, Mathematical modeling, Lung, 3D modeling, Image resolution, Chest, Infrared imaging

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SPIE Journal Paper | 4 August 2017

Breast dose reduction with organ-based, wide-angle tube current modulated CT

Wanyi Fu, Gregory Sturgeon, Greeshma Agasthya, Wiliam Paul Segars, Anuj Kapadia, Ehsan Samei

JMI, Vol. 4, Issue 03, 031208, (August 2017) https://doi.org/10.1117/12.10.1117/1.JMI.4.3.031208

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SPIE Journal Paper | 1 August 2017

Organ dose variability and trends in tomosynthesis and radiography

Jocelyn Hoye, Yakun Zhang, Greeshma Agasthya, Greg Sturgeon, Anuj Kapadia, Wiliam Segars, Ehsan Samei

JMI, Vol. 4, Issue 03, 031207, (August 2017) https://doi.org/10.1117/12.10.1117/1.JMI.4.3.031207

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Proceedings Article | 9 March 2017 Presentation + Paper

Airways, vasculature, and interstitial tissue: anatomically informed computational modeling of human lungs for virtual clinical trials

Ehsan Abadi, Gregory Sturgeon, Greeshma Agasthya, Brian Harrawood, Christoph Hoeschen, Anuj Kapadia, W. Segars, Ehsan Samei

Proceedings Volume 10132, 101321Q (2017) https://doi.org/10.1117/12.2254739

KEYWORDS: Lung, Clinical trials, Computed tomography, Arteries, Veins, Tissues, Computational modeling, Medical imaging, Image segmentation, 3D modeling, Image quality

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Proceedings Article | 9 March 2017 Paper

Estimation of breast dose reduction potential for organ-based tube current modulated CT with wide dose reduction arc

Wanyi Fu, Gregory Sturgeon, Greeshma Agasthya, W. Paul Segars, Anuj Kapadia, Ehsan Samei

Proceedings Volume 10132, 1013246 (2017) https://doi.org/10.1117/12.2255797

KEYWORDS: Breast, Medicine, Monte Carlo methods, Computed tomography, Scanners, Image quality standards, Ray tracing, Image quality, X-ray computed tomography, Tissues, Manufacturing, Biological research

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Proceedings Article | 9 March 2017 Presentation + Paper

An atlas-based organ dose estimator for tomosynthesis and radiography

Jocelyn Hoye, Yakun Zhang, Greeshma Agasthya, Greg Sturgeon, Anuj Kapadia, W. Paul Segars, Ehsan Samei

Proceedings Volume 10132, 1013204 (2017) https://doi.org/10.1117/12.2255583

KEYWORDS: Radiography, Monte Carlo methods, Databases, X-rays, Lung, Chest, Radiation dosimetry, Spine, Bone, Heart, Liver, Esophagus

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Proceedings Article | 3 May 2016 Paper

Estimation of breast dose saving potential using a breast positioning technique for organ-based tube current modulated CT

Wanyi Fu, Xiaoyu Tian, Gregory Sturgeon, Greeshma Agasthya, William Paul Segars, Mitchell Goodsitt, Ella Kazerooni, Ehsan Samei

Proceedings Volume 9783, 97833C (2016) https://doi.org/10.1117/12.2217239

KEYWORDS: Breast, Monte Carlo methods, Modulation, Medicine, Tissues, Computed tomography, Signal attenuation, Image quality, Scanners, Image quality standards

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Proceedings Article | 31 March 2016 Paper

A technique for multi-dimensional optimization of radiation dose, contrast dose, and image quality in CT imaging

Pooyan Sahbaee, Ehsan Abadi, Jeremiah Sanders, Marc Becchetti, Yakun Zhang, Greeshma Agasthya, Paul Segars, Ehsan Samei

Proceedings Volume 9783, 97833F (2016) https://doi.org/10.1117/12.2216516

KEYWORDS: Image quality, Computed tomography, Optimization (mathematics), CT reconstruction, Scanners, 3D modeling, 3D acquisition, Iodine, Physics, Nanoparticles, Mercury, Monte Carlo methods, X-ray computed tomography

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Proceedings Article | 14 March 2009 Paper

Detection of iron overload through neutron stimulated emission computed tomography: a sensitivity analysis study

Anuj Kapadia, Greeshma Agasthya, Georgia Tourassi

Proceedings Volume 7258, 725811 (2009) https://doi.org/10.1117/12.811737

KEYWORDS: Iron, Liver, Sensors, Monte Carlo methods, Tissues, Gamma radiation, Germanium, Calibration, Computed tomography, Signal attenuation

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Showing 5 of 9 publications

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