Dr. Kadri N. Jabri Profile

Dr. Kadri N. Jabri

Engineering Manager at GE Healthcare

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Publications (11)

Proceedings Article | 13 March 2010 Paper

Novel registration-based image enhancement for x-ray fluoroscopy

Adam Dixon, Romain Areste, Kadri Jabri, Vivek Walimbe

Proceedings Volume 7623, 76233D (2010) https://doi.org/10.1117/12.844498

KEYWORDS: Image enhancement, Image registration, X-rays, X-ray imaging, Fluoroscopy, Image quality, Image processing, Barium, Denoising, Motion models

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Proceedings Article | 17 March 2007 Paper

Effect of acquisition parameters on image quality in digital tomosynthesis

Timothy Deller, Kadri Jabri, John Sabol, Xianfeng Ni, Gopal Avinash, Rowland Saunders, Renuka Uppaluri

Proceedings Volume 6510, 65101L (2007) https://doi.org/10.1117/12.713777

KEYWORDS: Image quality, Image resolution, Modulation transfer functions, Sensors, Signal to noise ratio, Radiography, Chest, Medical imaging, Digital imaging, X-rays

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Proceedings Article | 2 March 2006 Paper

The impact of cardiac gating on the detection of coronary calcifications in dual-energy chest radiography: a phantom study

John Sabol, Ray Liu, Rowland Saunders, Jonathan Markley, Nery Moreno, John Seamans, Scott Wiese, Kadri Jabri, Robert Gilkeson

Proceedings Volume 6142, 61421F (2006) https://doi.org/10.1117/12.653387

KEYWORDS: Heart, Radiography, Tissues, Electrocardiography, Bone, Chest, Beam propagation method, Logic, Signal detection, Arteries

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The detection of coronary calcifications with CT is generally accepted as a useful method for predicting early onset of coronary artery disease. Film-screen X-ray and fluoroscopy have also been shown to have high predictive value for coronary disease diagnosis, but have minimal sensitivity. Recently, flat-panel detectors capable of dual-energy techniques have enabled the separation of soft-tissue and bone from images. Clinical studies report substantially improved sensitivity for the detection of coronary calcifications using these techniques. However, heart motion causes minor artefacts from misregistration of both calcified and soft-tissue structures, resulting in inconsistent detection of calcifications. This research examines whether cardiac gating improves the reliability of calcification detection. Single-energy, gated, and non-gated dual-energy imaging techniques are examined in a dynamic phantom model. A gating system was developed to synchronize two dual-energy exposures to a specified phase of the cardiac cycle. The performance and repeatability of the gating system was validated with the use of a cyclical phantom. An anthropomorphic phantom was developed to simulate both cardiac and soft-tissue motion, and generate ECG-like output signals. The anthropomorphic phantom and motion artefact accuracy was verified by comparison with clinical images of patients with calcifications. The ability of observers to detect calcifications in non-gated, and gated techniques was compared through the use of an ROC experiment. Gating visibly reduces the effect of motion artifacts in the dual-energy images. Without gating, motion artefacts cause greater variability in calcification detection. Comparison of the average area-under-the-curve of the ROC curves show that gating significantly increases the accuracy of calcification detection. The effects of motion and gating on DE cardiac calcification detection have been demonstrated and characterized in a phantom model that mimics the clinical scenario for dual-energy examinations. There exists significant potential for reliable cardiac calcification detection with gated dual-energy radiography.

Proceedings Article | 2 March 2006 Paper

Simulated and experimental technique optimization of dual-energy radiography: abdominal imaging applications

John Sabol, Samuel Wheeldon, Kadri Jabri

Proceedings Volume 6142, 61421J (2006) https://doi.org/10.1117/12.654001

KEYWORDS: Bone, Radiography, Data modeling, Tissues, Sensors, Monte Carlo methods, Optimization (mathematics), Abdomen, Aluminum, Renal calculi

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With growing clinical acceptance of dual-energy chest radiography, there is increased interest in the application of dual-energy techniques to other clinical areas. This paper describes the creation and experimental validation of a poly-energetic signal-propagation model for technique optimization of new dual-energy clinical applications. The model is verified using phantom experiments simulating typical abdominal radiographic applications such as Intravenous Urography (IVU) and the detection of pelvic and sacral bone lesions or kidney stones in the presence of bowel gas. The model is composed of a spectral signal propagation component and an image-processing component. The spectral propagation component accepts detector specifications, X-ray spectra, phantom and imaging geometry as inputs, and outputs the detected signal and estimated noise. The image-processing module performs dual-energy logarithmic subtraction and returns figures-of-merit such as contrast and contrast-to-noise ratio (CNR), which are evaluated in conjunction with Monte Carlo calculations of dose. Phantoms assembled from acrylic, aluminum, and iodinated contrast-agent filled tubes were imaged using a range of kVp's and dose levels. Simulated and experimental results were compared by dose, clinical suitability, and system limitations in order to yield technique recommendations that optimize one or more figures-of-merit. The model accurately describes phantom images obtained in a low scatter environment. For the visualization of iodinated vessels in the abdomen and the detection of pelvic bone lesions, both simulated and experimental results indicate that dual-energy techniques recommended by the model yield significant improvements in CNR without significant increases in patient dose as compared to conventional techniques. For example the CNR of iodinated vessels can be doubled using two-thirds of the dose of a standard exam. Alternatively, in addition to a standard dose image, the clinician can obtain a dual-energy bone image with greater than 8-fold increase in CNR, with the addition of just 15% higher dose. It is expected that this tool will enable the rapid clinical utilization of new applications of dual-energy radiography.

Proceedings Article | 9 May 2002 Paper

Effective dose reduction in dual-energy flat panel x-ray imaging: technique and clinical evaluation

Gopal Avinash, Kadri Jabri, Renuka Uppaluri, Amber Rader, Frank Fischbach, Jens Ricke, Ulf Teichgraeber

Proceedings Volume 4684, (2002) https://doi.org/10.1117/12.467060

KEYWORDS: Image filtering, Image quality, Image processing, Radiography, Image segmentation, Denoising, Bone, Chromium, Chest, Tissues

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Proceedings Article | 2 June 2000 Paper

Lessons from image perception studies for the design of medical imaging systems

David Wilson, Kadri Jabri, Ravindra Manjeshwar, Yogesh Srinivas, Kyle Salem

Proceedings Volume 3959, (2000) https://doi.org/10.1117/12.387163

KEYWORDS: Image quality, Medical imaging, Fluoroscopy, Image filtering, X-rays, Magnetic resonance imaging, Image processing, X-ray imaging, Digital filtering, Contrast sensitivity

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Proceedings Article | 14 April 2000 Paper

Quantitative image quality evaluation of an order-statistic filter in x-ray fluoroscopic imaging

David Wilson, Yogesh Srinivas, Francisco Sanchez-Marin, Kadri Jabri

Proceedings Volume 3981, (2000) https://doi.org/10.1117/12.383124

KEYWORDS: Image filtering, Image quality, X-rays, Digital filtering, Fluoroscopy, X-ray imaging, Nonlinear filtering, Electronic filtering, Target detection, Spatial filters

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Proceedings Article | 24 May 1999 Paper

Quantitative image quality of spatially filtered x-ray fluoroscopy

Kadri Jabri, David Wilson

Proceedings Volume 3663, (1999) https://doi.org/10.1117/12.349654

KEYWORDS: Image filtering, Spatial filters, Image quality, X-rays, X-ray imaging, Signal to noise ratio, Fluoroscopy, Signal detection, Contrast sensitivity, Denoising

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Proceedings Article | 16 April 1997 Paper

Modeling human visual detection of low-contrast objects in fluoroscopy image sequences

David Wilson, Kadri Jabri, Ping Xue

Proceedings Volume 3036, (1997) https://doi.org/10.1117/12.271301

KEYWORDS: Motion models, Visual process modeling, Data modeling, Digital filtering, X-rays, Signal to noise ratio, Fluoroscopy, Visual system, Image filtering, 3D modeling

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Proceedings Article | 16 April 1997 Paper

Adaptive reference/test forced-choice method with application to fluoroscopy perception

Ping Xue, Kadri Jabri, David Wilson

Proceedings Volume 3036, (1997) https://doi.org/10.1117/12.271305

KEYWORDS: X-rays, Fluoroscopy, Monte Carlo methods, X-ray imaging, Chlorine, Medical imaging, Gold, Target detection, Reliability, Image quality

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SPIE Journal Paper | 1 October 1996

Perceived noise versus display noise in temporally filtered image sequences

David Wilson, Kadri Jabri, Ping Xue, Richard Aufrichtig

JEI, Vol. 5, Issue 04, (October 1996) https://doi.org/10.1117/12.10.1117/12.242632

KEYWORDS: Image filtering, Linear filtering, Digital filtering, Medical imaging, Signal to noise ratio, Image enhancement, Filtering (signal processing), Denoising, Fluoroscopy, Electronic filtering

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Showing 5 of 11 publications

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