Detectability comparison of simulated objects within a dense breast phantom using high energy x-ray phase sensitive and conventional imaging systems

2017 ◽  
Author(s):  
Muhammad U. Ghani ◽  
Molly D. Wong ◽  
Di Wu ◽  
Bin Zheng ◽  
Wei Chen ◽  
...  
Keyword(s):  
High Energy ◽  
Dense Breast ◽  
Imaging Systems ◽  
Conventional Imaging ◽  
X Ray ◽  
Breast Phantom ◽  
Phase Sensitive

scholarly journals Dose and detectability improvements with high energy phase sensitive x-ray imaging in comparison to low energy conventional imaging

2014 ◽  
Vol 59 (9) ◽  
pp. N37-N48 ◽  
Author(s):  
Molly Donovan Wong ◽  
Aimin Yan ◽  
Muhammad Ghani ◽  
Yuhua Li ◽  
Laurie Fajardo ◽  
...  
Keyword(s):  
High Energy ◽  
Low Energy ◽  
Conventional Imaging ◽  
X Ray ◽  
X Ray Imaging ◽  
Phase Sensitive

scholarly journals Detectability comparison of simulated tumors in digital breast tomosynthesis using high-energy X-ray inline phase sensitive and commercial imaging systems

2018 ◽  
Vol 47 ◽  
pp. 34-41 ◽  
Author(s):  
Muhammad U. Ghani ◽  
Molly D. Wong ◽  
Farid H. Omoumi ◽  
Bin Zheng ◽  
Laurie L. Fajardo ◽  
...  
Keyword(s):  
Digital Breast Tomosynthesis ◽  
High Energy ◽  
Imaging Systems ◽  
Breast Tomosynthesis ◽  
X Ray ◽  
Phase Sensitive

Development and Pre‐Clinical Evaluation of a Patient‐Specific High Energy X‐ray Phase Sensitive Breast Tomosynthesis System

2021 ◽  
Author(s):  
Muhammad U. Ghani ◽  
Xizeng Wu ◽  
Laurie L. Fajardo ◽  
Zhengxue Jing ◽  
Molly D. Wong ◽  
...  
Keyword(s):  
Clinical Evaluation ◽  
High Energy ◽  
Patient Specific ◽  
Breast Tomosynthesis ◽  
X Ray ◽  
Phase Sensitive

Evaluation and comparison of a CdTe based photon counting detector with an energy integrating detector for X-ray phase sensitive imaging of breast cancer

2021 ◽  
pp. 1-13
Author(s):  
Muhammad U. Ghani ◽  
Farid H. Omoumi ◽  
Xizeng Wu ◽  
Laurie L. Fajardo ◽  
Bin Zheng ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Spatial Resolution ◽  
Standard Dose ◽  
Photon Counting ◽  
High Energy ◽  
Edge Enhancement ◽  
X Ray ◽  
Photon Counting Detector ◽  
Phase Sensitive ◽  
Observer Studies

PURPOSE: To compare imaging performance of a cadmium telluride (CdTe) based photon counting detector (PCD) with a CMOS based energy integrating detector (EID) for potential phase sensitive imaging of breast cancer. METHODS: A high energy inline phase sensitive imaging prototype consisting of a microfocus X-ray source with geometric magnification of 2 was employed. The pixel pitch of the PCD was 55μm, while 50μm for EID. The spatial resolution was quantitatively and qualitatively assessed through modulation transfer function (MTF) and bar pattern images. The edge enhancement visibility was assessed by measuring edge enhancement index (EEI) using the acrylic edge acquired images. A contrast detail (CD) phantom was utilized to compare detectability of simulated tumors, while an American College of Radiology (ACR) accredited phantom for mammography was used to compare detection of simulated calcification clusters. A custom-built phantom was employed to compare detection of fibrous structures. The PCD images were acquired at equal, and 30% less mean glandular dose (MGD) levels as of EID images. Observer studies along with contrast to noise ratio (CNR) and signal to noise ratio (SNR) analyses were performed for comparison of two detection systems. RESULTS: MTF curves and bar pattern images revealed an improvement of about 40% in the cutoff resolution with the PCD. The excellent spatial resolution offered by PCD system complemented superior detection of the diffraction fringes at boundaries of the acrylic edge and resulted in an EEI value of 3.64 as compared to 1.44 produced with EID image. At MGD levels (standard dose), observer studies along with CNR and SNR analyses revealed a substantial improvement of PCD acquired images in detection of simulated tumors, calcification clusters, and fibrous structures. At 30% less MGD, PCD images preserved image quality to yield equivalent (slightly better) detection as compared to the standard dose EID images. CONCLUSION: CdTe-based PCDs are technically feasible to image breast abnormalities (low/high contrast structures) at low radiation dose levels using the high energy inline phase sensitive imaging technique.

Development of Real Time High Energy X-Ray Imaging System for Use in Dynamic Fluoroscopy of Aero Gas Turbines

1975 ◽  
Author(s):  
A. E. Stewart
Keyword(s):  
Real Time ◽  
Gas Turbines ◽  
Imaging System ◽  
High Energy ◽  
Cesium Iodide ◽  
Imaging Systems ◽  
X Ray ◽  
X Ray Imaging ◽  
Different Types

This paper discusses the development of a real-time high energy x-ray imaging system for use in dynamic fluoroscopy of aero gas turbines. In order to cover the range of subjects on gas turbines, over ten combinations of film and screen types are used. Three different types of x-ray imaging systems were considered for use: direct type intensifiers (cesium iodide phosphors), and indirect type intensifiers — Marconi “Marionette” and the Oude Delft “Delcalix.”

scholarly journals Synchrotron high energy X-ray methods coupled to phase sensitive analysis to characterize aging of solid catalysts with enhanced sensitivity

2013 ◽  
Vol 15 (22) ◽  
pp. 8629 ◽  
Author(s):  
Davide Ferri ◽  
Mark A. Newton ◽  
Marco Di Michiel ◽  
Songhak Yoon ◽  
Gian Luca Chiarello ◽  
...  
Keyword(s):  
High Energy ◽  
Sensitive Analysis ◽  
X Ray ◽  
Solid Catalysts ◽  
Enhanced Sensitivity ◽  
Phase Sensitive ◽  
Ray Methods

scholarly journals A stochastic approach to quantifying the blur with uncertainty estimation for high-energy X-ray imaging systems

2015 ◽  
Vol 24 (3) ◽  
pp. 353-371 ◽  
Author(s):  
Michael J. Fowler ◽  
Marylesa Howard ◽  
Aaron Luttman ◽  
Stephen E. Mitchell ◽  
Timothy J. Webb
Keyword(s):  
Stochastic Approach ◽  
High Energy ◽  
Uncertainty Estimation ◽  
Imaging Systems ◽  
X Ray ◽  
X Ray Imaging

scholarly journals Effectiveness of Non-Local Means Algorithm with an Industrial 3 MeV LINAC High-Energy X-ray System for Non-Destructive Testing

Sensors ◽  
2020 ◽  
Vol 20 (9) ◽  
pp. 2634 ◽  
Author(s):  
Kyuseok Kim ◽  
Jaegu Choi ◽  
Youngjin Lee
Keyword(s):  
High Energy ◽  
Imaging Systems ◽  
Non Destructive Testing ◽  
Destructive Testing ◽  
X Ray ◽  
Local Means ◽  
X Ray Imaging ◽  
Non Local ◽  
Non Destructive

Industrial high-energy X-ray imaging systems are widely used for non-destructive testing (NDT) to detect defects in the internal structure of objects. Research on X-ray image noise reduction techniques using image processing has been widely conducted with the aim of improving the detection of defects in objects. In this paper, we propose a non-local means (NLM) denoising algorithm to improve the quality of images obtained using an industrial 3 MeV high-energy X-ray imaging system. We acquired X-ray images using various castings and assessed the performance visually and by obtaining the intensity profile, contrast-to-noise ratio, coefficient of variation, and normalized noise power spectrum. Overall, the quality of images processed by the proposed NLM algorithm is superior to those processed by existing algorithms for the acquired casting images. In conclusion, the NLM denoising algorithm offers an efficient and competitive approach to overcome the noise problem in high-energy X-ray imaging systems, and we expect the accompanying image processing software to facilitate and improve image restoration.

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