Ms. Amber J. Gislason-Lee Profile

Amber J. Gislason-Lee

at Univ of Leeds

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Author

Publications (9)

Proceedings Article | 3 April 2023 Presentation + Paper

A visibility overshoot index for interventional x-ray image quality assessment

Asli Kumcu, Ljiljana Platiša, Bart Goossens, Amber Gislason-Lee, Andrew Davies, Gerard Schouten, Dimitri Buytaert, Klaus Bacher, Wilfried Philips

Proceedings Volume 12467, 124670T (2023) https://doi.org/10.1117/12.2652548

KEYWORDS: Signal detection, X-rays, Visualization, Visibility, Visual process modeling, X-ray imaging, Image quality, Dose control

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SPIE Journal Paper | 2 May 2017

Comprehensive assessment of patient image quality and radiation dose in latest generation cardiac x-ray equipment for percutaneous coronary interventions

Amber Gislason-Lee, Claire Keeble, Daniel Egleston, Josephine Bexon, Stephen Kengyelics, Andrew Davies

JMI, Vol. 4, Issue 02, 025501, (May 2017) https://doi.org/10.1117/12.10.1117/1.JMI.4.2.025501

KEYWORDS: Image quality, X-rays, X-ray imaging, Angiography, Fluoroscopy, Imaging systems, Image enhancement, Medical imaging, Medicine, Light sources and illumination

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SPIE Journal Paper | 27 October 2015

How much image noise can be added in cardiac x-ray imaging without loss in perceived image quality?

Amber Gislason-Lee, Asli Kumcu, Stephen Kengyelics, David Brettle, Laura Treadgold, Mohan Sivananthan, Andrew Davies

JEI, Vol. 24, Issue 05, 051006, (October 2015) https://doi.org/10.1117/12.10.1117/1.JEI.24.5.051006

KEYWORDS: X-ray imaging, Image quality, X-rays, Angiography, Signal to noise ratio, Calibration, Image processing, Image enhancement, Sensors, Arteries

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SPIE Journal Paper | 21 September 2015

Context sensitive cardiac x-ray imaging: a machine vision approach to x-ray dose control

Stephen Kengyelics, Amber Gislason-Lee, Claire Keeble, Derek Magee, Andrew Davies

JEI, Vol. 24, Issue 05, 051002, (September 2015) https://doi.org/10.1117/12.10.1117/1.JEI.24.5.051002

KEYWORDS: X-ray imaging, Signal attenuation, X-rays, Machine vision, Control systems, Arteries, Imaging systems, Algorithm development, Blood vessels, Sensors

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Proceedings Article | 16 March 2015 Paper

Image quality based x-ray dose control in cardiac imaging

Andrew Davies, Stephen Kengyelics, Amber Gislason-Lee

Proceedings Volume 9399, 93990E (2015) https://doi.org/10.1117/12.2082795

KEYWORDS: Image quality, X-rays, X-ray imaging, Imaging systems, Receptors, Polymethylmethacrylate, Control systems, Computer simulations, Signal attenuation, Arteries

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Proceedings Article | 16 March 2015 Paper

How much image noise can be added in cardiac x-ray imaging without loss in perceived image quality?

Amber Gislason-Lee, Asli Kumcu, Stephen Kengyelics, Laura Rhodes, Andrew Davies

Proceedings Volume 9399, 93990L (2015) https://doi.org/10.1117/12.2082788

KEYWORDS: Image quality, X-ray imaging, X-rays, Imaging systems, Image enhancement, Heart, Angiography, Medical imaging, Image processing, Control systems

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Proceedings Article | 16 March 2015 Paper

Selecting stimuli parameters for video quality assessment studies based on perceptual similarity distances

Asli Kumcu, Ljiljana Platiša, Heng Chen, Amber Gislason-Lee, Andrew Davies, Peter Schelkens, Yves Taeymans, Wilfried Philips

Proceedings Volume 9399, 93990F (2015) https://doi.org/10.1117/12.2083431

KEYWORDS: Image quality, Video, Surgery, Video compression, Picosecond phenomena, Laparoscopy, X-rays, Image quality standards, Visibility, Image processing

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Proceedings Article | 16 March 2015 Paper

Machine vision image quality measurement in cardiac x-ray imaging

Stephen Kengyelics, Amber Gislason-Lee, Claire Keeble, Derek Magee, Andrew Davies

Proceedings Volume 9399, 93990J (2015) https://doi.org/10.1117/12.2083208

KEYWORDS: Arteries, X-ray imaging, Machine vision, Iodine, Algorithm development, X-rays, Imaging systems, Signal detection, Image quality, Binary data

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Proceedings Article | 14 March 2009 Paper

Dose assessment of digital tomosynthesis in pediatric imaging

Amber Gislason, Idris Elbakri, Martin Reed

Proceedings Volume 7258, 72585V (2009) https://doi.org/10.1117/12.813717

KEYWORDS: Spine, X-ray computed tomography, X-rays, Bone, X-ray imaging, Computed tomography, Visualization, Radiography, Sensors, Diagnostics

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Showing 5 of 9 publications

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