4.4 Article

Dual-energy contrast-enhanced digital breast tomosynthesis - a feasibility study

期刊

BRITISH JOURNAL OF RADIOLOGY
卷 83, 期 988, 页码 344-350

出版社

BRITISH INST RADIOLOGY
DOI: 10.1259/bjr/80279516

关键词

-

资金

  1. National Cancer Institute [NIH P01 CA85484-01A2]

向作者/读者索取更多资源

Contrast-enhanced digital breast tomosynthesis (CE-DBT) is a novel modality for imaging breast lesion morphology and vascularity. The purpose of this study is to assess the feasibility of dual-energy subtraction as a technique for CE-DBT (a temporal subtraction CE-DBT technique has been described previously). As CE-DBT evolves, exploration of alternative image acquisition techniques will contribute to its optimisation. Evaluation of dual-energy CE-DBT was conducted with Institutional Review Board (IRB) approval from our institution and in compliance with federal Health Insurance Portability and Accountability Act (HIPAA) guidelines. A 55-year old patient with a known malignancy in the right breast underwent imaging with MRI and CE-DBT. CE-DBT was performed in the medial lateral oblique view with a DBT system, which was modified under IRB approval to allow high-energy image acquisition with a 0.25 mm Cu filter. Image acquisition occurred via both temporal and dual-energy subtraction CE-DBT. Between the pre- and post-contrast DBT image sets, a single bolus of iodinated contrast agent (1.0 ml kg(-1)) was administered, followed by a 60 ml saline flush. The contrast agent and saline were administrated manually at a rate of similar to 2 ml s(-1). Images were reconstructed using filtered-back projection and transmitted to a clinical PACS workstation. Dual-energy CE-DBT was shown to be clinically feasible. In our index case, the dual-energy technique was able to provide morphology and kinetic information about the known malignancy. This information was qualitatively concordant with that of CE-MRI. Compared with the temporal subtraction CE-DBT technique, dual-energy CE-DBT appears less susceptible to motion artefacts.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.4
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Computer Science, Interdisciplinary Applications

Development and Evaluation of the Fourier Spectral Distortion Metric

Trevor Lewis Vent, Raymond Joseph Acciavatti, Andrew D. A. Maidment

Summary: The FSD metric measures the spatial resolution properties of digital tomosynthesis by evaluating modulation in the frequency domain, providing information on optimal image reconstruction parameters and reducing aliasing artifacts.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2021)

Article Physics, Applied

Skyrmion logic clocked via voltage-controlled magnetic anisotropy

Benjamin W. Walker, Can Cui, Felipe Garcia-Sanchez, Jean Anne C. Incorvia, Xuan Hu, Joseph S. Friedman

Summary: Magnetic skyrmions are promising candidates for energy-efficient computing, and synchronization via modulation of voltage-controlled magnetic anisotropy can overcome manufacturing difficulties and energy costs, enabling large-scale cascaded logic circuits with improved motion efficiency.

APPLIED PHYSICS LETTERS (2021)

Article Physics, Applied

Domain wall-magnetic tunnel junction spin-orbit torque devices and circuits for in-memory computing

Mahshid Alamdar, Thomas Leonard, Can Cui, Bishweshwor P. Rimal, Lin Xue, Otitoaleke G. Akinola, T. Patrick Xiao, Joseph S. Friedman, Christopher H. Bennett, Matthew J. Marinella, Jean Anne C. Incorvia

Summary: Magnetic tunnel junction in-memory computing devices utilize domain walls for data processing, overcoming experimental limitations through various technological advancements to achieve significant progress.

APPLIED PHYSICS LETTERS (2021)

Article Engineering, Electrical & Electronic

Irradiation Effects on Perpendicular Anisotropy Spin-Orbit Torque Magnetic Tunnel Junctions

Mahshid Alamdar, Liang Juan Chang, Karalee Jarvis, Paul Kotula, Can Cui, Raluca Gearba-Dolocan, Yihan Liu, Enrique Antunano, Jack E. Manuel, Gyorgy Vizkelethy, Lin Xue, Robin Jacobs-Gedrim, Christopher H. Bennett, T. Patrick Xiao, David Hughart, Edward Bielejec, Matthew J. Marinella, Jean Anne C. Incorvia

Summary: The study found that SOT PMA MTJs are radiation-hard at low doses but exhibit degraded magnetic performance at high doses due to increased intermixing of layers. Modeling suggests that layers close to the bottom heavy metal and substrate are more susceptible to damage.

IEEE TRANSACTIONS ON NUCLEAR SCIENCE (2021)

Article Oncology

The Effects of In-Plane Spatial Resolution on CT-Based Radiomic Features' Stability with and without ComBat Harmonization

Abdalla Ibrahim, Turkey Refaee, Sergey Primakov, Bruno Barufaldi, Raymond J. Acciavatti, Renee W. Y. Granzier, Roland Hustinx, Felix M. Mottaghy, Henry C. Woodruff, Joachim E. Wildberger, Philippe Lambin, Andrew D. A. Maidment

Summary: Handcrafted radiomic features (HRFs) are quantitative features extracted from medical images, used for associations with different clinical endpoints. Variations in in-plane resolution and image resampling methods significantly affect the reproducibility of HRFs. Most HRFs are sensitive to differences in in-plane resolution, with image resampling methods showing higher reproducibility compared to ComBat harmonization.

CANCERS (2021)

Article Physics, Applied

A domain wall-magnetic tunnel junction artificial synapse with notched geometry for accurate and efficient training of deep neural networks

Samuel Liu, T. Patrick Xiao, Can Cui, Jean Anne C. Incorvia, Christopher H. Bennett, Matthew J. Marinella

Summary: This study proposes a notched DW-MTJ synapse as a candidate for supervised learning, showing through micromagnetic simulations its non-volatility and linear, symmetric, and reproducible weight update capabilities. The DW-MTJ devices achieve high classification accuracy on MNIST and Fashion-MNIST tasks, laying the foundation for hardware neural networks with fully spintronic matrix operations for machine learning.

APPLIED PHYSICS LETTERS (2021)

Article Materials Science, Multidisciplinary

Synthesis and characterization of Cr2C MXenes

Otitoaleke Akinola, Isha Chakraborty, Hugo Celio, Deji Akinwande, Jean Anne C. Incorvia

Summary: This study developed a method for synthesizing Cr2C from Cr2AlC MAX phase, optimizing etching using sodium fluoride and hydrogen chloride, and using a minimally intensive layer delamination method in a cold environment. Additionally, sonication and washing methods were optimized for intercalation and delamination, resulting in a characterized crystal structure of Cr2C.

JOURNAL OF MATERIALS RESEARCH (2021)

Article Multidisciplinary Sciences

Large Magnetoresistance in Scandium Nitride Magnetic Tunnel Junctions Using First Principles

Suyogya Karki, Vivian Rogers, Priyamvada Jadaun, Daniel S. Marshall, Jean Anne C. Incorvia

Summary: The study suggests that scandium nitride could be a potential barrier material for spintronic devices, as it shows high magnetoresistance compared to magnesium oxide.

ADVANCED THEORY AND SIMULATIONS (2021)

Article Engineering, Electrical & Electronic

Domain Wall Leaky Integrate-and-Fire Neurons With Shape-Based Configurable Activation Functions

Wesley H. Brigner, Naimul Hassan, Xuan Hu, Christopher H. Bennett, Felipe Garcia-Sanchez, Can Cui, Alvaro Velasquez, Matthew J. Marinella, Jean Anne C. Incorvia, Joseph S. Friedman

Summary: CMOS devices are not suitable for analog applications, while spintronic devices are well suited. However, a large number of spintronic devices still require the use of CMOS, which decreases system efficiency. This study improves the activation functions of spintronic devices to enable better neural network learning and recognition.

IEEE TRANSACTIONS ON ELECTRON DEVICES (2022)

Article Multidisciplinary Sciences

Metaplastic and energy-efficient biocompatible graphene artificial synaptic transistors for enhanced accuracy neuromorphic computing

Dmitry Kireev, Samuel Liu, Harrison Jin, T. Patrick Xiao, Christopher H. Bennett, Deji Akinwande, Jean Anne C. Incorvia

Summary: In this work, biocompatible bilayer graphene-based artificial synaptic transistors (BLAST) capable of mimicking synaptic behavior are reported. The devices exhibit high energy efficiency and long-term potentiation, and show unique metaplasticity which outperforms ideal linear synapses in classic image classification tasks. These devices are powerful candidates for bio-interfaced online learning, bridging the gap between artificial and biological neural networks.

NATURE COMMUNICATIONS (2022)

Article Engineering, Electrical & Electronic

Logical and Physical Reversibility of Conservative Skyrmion Logic

Xuan Hu, Benjamin W. Walker, Felipe Garcia-Sanchez, Alexander J. Edwards, Peng Zhou, Jean Anne C. Incorvia, Alexandru Paler, Michael P. Frank, Joseph S. Friedman

Summary: This letter evaluates the logical and physical reversibility of skyrmion logic paradigm and addresses the limitations that need to be overcome for achieving dissipation-free computation.

IEEE MAGNETICS LETTERS (2022)

Proceedings Paper Engineering, Electrical & Electronic

Quantized Domain-Wall Magnetic Tunnel Junction (DW-MTJ) Neural Networks Optimized for Rapid, Energy Efficient Edge Inference

Christopher H. Bennett, Samuel Liu, T. Patrick Xiao, Otitoaleke Akinola, Alexander Edwards, Wesley Brigner, Can Cui, Thomas Leonard, Mashid Alamdar, Naimul Hassan, Robin Jacobs-Gedrim, Joseph S. Friedman, Jean Anne Incorvia, Matthew J. Marinella

2021 IEEE 16TH NANOTECHNOLOGY MATERIALS AND DEVICES CONFERENCE (NMDC 2021) (2021)

Article Engineering, Electrical & Electronic

Controllable Reset Behavior in Domain Wall-Magnetic Tunnel Junction Artificial Neurons for Task-Adaptable Computation

Samuel Liu, Christopher H. Bennett, Joseph S. Friedman, Matthew J. Marinella, David Paydarfar, Jean Anne C. Incorvia

Summary: The study demonstrates that edgy-relaxed behavior in DW-MTJ artificial neurons can improve classification accuracy and rate for ordered datasets while maintaining accuracy for randomized datasets. This letter provides methods for flexible adaptation of artificial spintronic neurons to different datasets.

IEEE MAGNETICS LETTERS (2021)

Review Chemistry, Multidisciplinary

Silver chalcogenide nanoparticles: a review of their biomedical applications

Lenitza M. Nieves, Katherine Mossburg, Jessica C. Hsu, Andrew D. A. Maidment, David P. Cormode

Summary: Silver chalcogenide nanoparticles have attracted significant attention for their excellent performance in both electronics and biomedical applications. Recent advancements have shown their potential in various biomedical fields such as bio-imaging and theranostics. The development of different synthetic approaches has further expanded the applications of silver chalcogenide nanoparticles in biomedicine.

NANOSCALE (2021)

Article Engineering, Environmental

Role of Electrostatics in the Heterogeneous Interaction of Two-Dimensional Engineered MoS2 Nanosheets and Natural Clay Colloids: Influence of pH and Natural Organic Matter

Indu Venu Sabaraya, Hyunjung Shin, Xintong Li, Rushmia Hoq, Jean Anne C. Incorvia, Mary Jo Kirisits, Navid B. Saleh

Summary: This study investigates the aggregation behavior of MoS2 nanosheets with natural geocolloids and finds that pH and particle ratios play crucial roles in modulating system stability, while Suwannee River humic acid drastically suppresses heteroaggregation. The results suggest that these heterogeneous systems are highly stable under environmentally relevant conditions, which may enhance cellular uptake and long-distance transport of MoS2.

ENVIRONMENTAL SCIENCE & TECHNOLOGY (2021)

暂无数据