The Potential of Utilizing Mid-Energy X-Rays for In-Line Phase Sensitive Breast Cancer Imaging.

IF 0.3 Q4 SPECTROSCOPY
Biomedical Spectroscopy and Imaging Pub Date : 2020-01-01 Epub Date: 2020-12-28 DOI:10.3233/BSI-200204
F H Omoumi, M U Ghani, M D Wong, Y Li, B Zheng, A Yan, P A Jenkins, X Wu, H Liu
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引用次数: 1

Abstract

Objective: The objective of this study is to demonstrate the potential of utilizing mid-energy x-rays for in-line phase-sensitive breast cancer imaging by phantom studies.

Methods: The midenergy (50-80kV) in-line phase sensitive imaging prototype was used to acquire images of the contrast-detail mammography (CDMAM) phantom, an ACR accreditation phantom, and an acrylic edge phantom. The low-dose mid-energy phase-sensitive images were acquired at 60 kV with a radiation dose of 0.9 mGy, while the high-energy phase-sensitive images were acquired at 90 kV with a radiation dose of 1.2 mGy. The Phase-Attenuation Duality (PAD) principle for soft tissue was used for the phase retrieval. A blind observer study was conducted and paired-sample T-test were performed to compare the mean differences in the two imaging systems.

Results: The correct detection ratio for the CDMAM phantom for phase-contrast images acquired by the low-dose mid-energy system was 56.91%, whereas images acquired by the high-energy system correctly revealed only 40.97% of discs. The correct detection ratios were 57.88% and 43.41% for phase-retrieved images acquired by the low-dose mid-energy and high-energy imaging systems, respectively. The reading scores for all three groups of objects in the ACR phantom were higher for the mid energy imaging system as compared to the high-energy system for both phase-contrast and phase- retrieved images. The calculated edge enhancement index (EEI) from the acrylic edge phantom image for the mid-energy system was higher than that calculated for the high-energy imaging system. The quantitative analyses showed a higher Contrast to Noise Ratio (CNR) as well as a higher Figure of Merit (FOM) in images acquired by the low-dose mid-energy imaging system.

Conclusion: The PAD based retrieval method can be applied in mid-energy system without remarkably affecting the image quality, and in fact, it improves the lesion detectability with a patient dose saving of 25%.

利用中能量x射线在线相敏乳腺癌成像的潜力。
目的:本研究的目的是通过假体研究证明利用中能量x射线在线相敏乳腺癌成像的潜力。方法:采用中能量(50-80kV)在线相敏成像样机获取对比细节乳房x线造影(CDMAM)幻像、ACR认证幻像和丙烯酸边缘幻像图像。在60 kV、0.9 mGy的辐射剂量下获得了低剂量中能量相敏图像,在90 kV、1.2 mGy的辐射剂量下获得了高能相敏图像。利用软组织相位衰减对偶性(PAD)原理进行相位恢复。采用盲观察研究,采用配对样本t检验比较两种成像系统的平均差异。结果:低剂量中能量系统对CDMAM幻像的相对比成像正确率为56.91%,而高能系统对CDMAM幻像的正确率仅为40.97%。低剂量、中能量和高能成像系统获取的相位反演图像的正确率分别为57.88%和43.41%。与高能成像系统相比,中能量成像系统对ACR幻影中所有三组物体的阅读分数都更高,无论是相位对比还是相位检索图像。中能量系统中亚克力边缘虚像计算得到的边缘增强指数(EEI)高于高能成像系统计算得到的边缘增强指数。定量分析表明,低剂量中能量成像系统获得的图像具有较高的噪比(CNR)和较高的优值(FOM)。结论:基于PAD的检索方法可应用于中能量系统,对图像质量不产生明显影响,实际上提高了病灶的可检出性,可节省患者剂量25%。
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期刊介绍: Biomedical Spectroscopy and Imaging (BSI) is a multidisciplinary journal devoted to the timely publication of basic and applied research that uses spectroscopic and imaging techniques in different areas of life science including biology, biochemistry, biotechnology, bionanotechnology, environmental science, food science, pharmaceutical science, physiology and medicine. Scientists are encouraged to submit their work for publication in the form of original articles, brief communications, rapid communications, reviews and mini-reviews. Techniques covered include, but are not limited, to the following: • Vibrational Spectroscopy (Infrared, Raman, Teraherz) • Circular Dichroism Spectroscopy • Magnetic Resonance Spectroscopy (NMR, ESR) • UV-vis Spectroscopy • Mössbauer Spectroscopy • X-ray Spectroscopy (Absorption, Emission, Photoelectron, Fluorescence) • Neutron Spectroscopy • Mass Spectroscopy • Fluorescence Spectroscopy • X-ray and Neutron Scattering • Differential Scanning Calorimetry • Atomic Force Microscopy • Surface Plasmon Resonance • Magnetic Resonance Imaging • X-ray Imaging • Electron Imaging • Neutron Imaging • Raman Imaging • Infrared Imaging • Terahertz Imaging • Fluorescence Imaging • Near-infrared spectroscopy.
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