Article
Radiology, Nuclear Medicine & Medical Imaging
Hyeongseok Kim, Hoyeon Lee, Seoyoung Lee, Young-Wook Choi, Young Jin Choi, Kee Hyun Kim, Wontaek Seo, Choul Woo Shin, Seungryong Cho
Summary: In this study, a dual-energy DBT imaging technique is proposed to enable breast compositional imaging at comparable scanning time and patient dose compared to single-energy DBT. The developed deep neural network successfully synthesized missing projections, and the material-selective images reconstructed from the synthesized data presented comparable compositional contrast. The proposed dual-energy DBT scheme is expected to substantially enhance mass malignancy detection accuracy, particularly in dense breasts.
Article
Radiology, Nuclear Medicine & Medical Imaging
Giulia Bicchierai, Simone Busoni, Paolo Tortoli, Silvia Bettarini, Federica Di Naro, Diego De Benedetto, Elena Savi, Chiara Bellini, Vittorio Miele, Jacopo Nori
Summary: This retrospective study compares the radiation dose received during CEDM, short and long protocol (CEDM SP and CEDM LP), with dose received during DM and DBT. The results show that CEDM SP results in higher radiation exposure compared with conventional DM and DBT but lower than the Combo mode. The dose administered during the CEDM SP is lower in patients with dense breasts regardless of their size.
ACADEMIC RADIOLOGY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Rossano Girometti, Anna Linda, Paola Conte, Michele Lorenzon, Isabella De Serio, Katerina Jerman, Viviana Londero, Chiara Zuiani
Summary: The study found that preoperative contrast-enhanced spectral mammography (CEM) had better ability to detect additional cancer lesions in breast cancer patients compared to digital mammography plus digital breast tomosynthesis (DM + DBT), especially in dense breasts. CEM and DM + DBT showed similar performance in cancer size assessment.
Article
Oncology
Natalia Siminiak, Anna Pasiuk-Czepczynska, Antonina Godlewska, Piotr Wojtys, Magdalena Olejnik, Joanna Michalak, Piotr Nowaczyk, Pawel Gajdzis, Dariusz Godlewski, Marek Ruchala, Rafal Czepczynski
Summary: This study evaluated the diagnostic performance of CEM and DBT in women recalled from a breast cancer screening program. The results showed that CEM and DBT had similar diagnostic accuracy and outperformed FFDM. CEM had a sensitivity of 97% and DBT had a sensitivity of 100%.
FRONTIERS IN ONCOLOGY
(2022)
Article
Oncology
Luca Nicosia, Anna Carla Bozzini, Filippo Pesapane, Anna Rotili, Irene Marinucci, Giulia Signorelli, Samuele Frassoni, Vincenzo Bagnardi, Daniela Origgi, Paolo De Marco, Ida Abiuso, Claudia Sangalli, Nicola Balestreri, Giovanni Corso, Enrico Cassano
Summary: Screening mammography is hindered by the poor sensitivity in dense breasts, leading to missed cancers. This study compared the Average Glandular Dose (AGD) and diagnostic performance of Contrast-Enhanced Mammography (CEM) versus Digital Mammography (DM) and DM plus Digital Breast Tomosynthesis (DBT) in the same group of patients. The results suggest that CEM can be used as an alternative method for breast cancer screening.
Article
Radiology, Nuclear Medicine & Medical Imaging
Laurie L. Fajardo, Stephen L. Hillis, Bin Zheng, Molly Donovan Wong, Muhammad U. Ghani, Farid H. Omoumi, Yuhua Li, Peter Jenkins, Michael E. Peterson, Xizeng Wu, Hong Liu
Summary: This pilot study compared the performance of a phase-sensitive breast tomosynthesis (PBT) system with a conventional digital breast tomosynthesis (DBT) system. The results showed that the PBT system had a 24% lower radiation dose compared with the DBT system, but with lower image quality. The diagnostic performance of the PBT system remains to be determined in larger studies.
Article
Medicine, General & Internal
Juan Tao, Hao Liao, Yuan Liu, Qingsong Peng, Wenying Zhu, Shuyi Peng, Jie Liu, Leqing Chen, Fan Yang
Summary: DBT-galactography showed higher sensitivity, specificity, and overall image quality compared to FFDM-galactography in the detection of ductal lesions, providing more confidence for clinical diagnosis within an acceptable radiation dose range.
Article
Radiology, Nuclear Medicine & Medical Imaging
Jikai Zhang, Maciej A. Mazurowski, Lars J. Grimm
Summary: Predicting a recall recommendation for DBT screening can be done using patient demographics and breast care factors extracted from the EMR. Factors such as history of breast cancer surgery, recent recall history, prior screening mammogram, and age were found to be associated with a recall recommendation.
EUROPEAN JOURNAL OF RADIOLOGY
(2023)
Review
Computer Science, Artificial Intelligence
Jun Bai, Russell Posner, Tianyu Wang, Clifford Yang, Sheida Nabavi
Summary: The recent reintroduction of deep learning has revolutionized diagnostic imaging interpretation, while the technology used for image acquisition is also undergoing a revolution. Digital breast tomosynthesis (DBT) has transformed the field of breast imaging and is rapidly replacing traditional two-dimensional mammography.
MEDICAL IMAGE ANALYSIS
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Zhongxing Zhou, Liqiang Ren, Kishore Rajendran, Felix E. Diehn, Joel G. Fletcher, Cynthia H. McCollough, Lifeng Yu
Summary: This study demonstrates the feasibility of simultaneous dual-contrast imaging in a large animal using a newly developed multi-energy computed tomography (MECT) system. The study investigates two imaging tasks: head/neck CT angiography (CTA)/CT venography (CTV) with iodine and gadolinium, and small bowel imaging with iodine and bismuth. The results show that the dual-source MECT system can clearly distinguish different contrast materials and achieve better delineation and classification in small bowel imaging compared to head/neck CTA/CTV.
Article
Engineering, Biomedical
Muhammad U. Ghani, Laurie L. Fajardo, Farid Omoumi, Aimin Yan, Peter Jenkins, Molly Wong, Yuhua Li, Michael E. Peterson, Edward J. Callahan, Stephen L. Hillis, Bin Zheng, Xizeng Wu, Hong Liu
Summary: Research on phase-sensitive x-ray imaging technology continues due to its ability to visualize weakly absorbing details in biology and medicine. A high-energy phase sensitive breast tomosynthesis system has been developed and tested in patient imaging, showing promise for acquiring breast images at lower radiation doses.
PHYSICS IN MEDICINE AND BIOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Shimaa Abdalla Ahmed, Marwa Samy, Ahmed M. Ali, Ramy A. Hassan
Summary: DBT-detected breast lesions are less likely to be malignant than DM-detected ones, but the risk is not low enough to skip biopsy. A negative MRI correlation in sonographically occult breast lesions is significantly associated with benign outcomes, avoiding unnecessary interventions.
Article
Oncology
Veronica Rizzo, Giuliana Moffa, Endi Kripa, Claudia Caramanico, Federica Pediconi, Francesca Galati
Summary: The study retrospectively analyzed 84 female patients with diagnosed breast cancer, finding that Dynamic Contrast Enhanced Magnetic Resonance Imaging (DCE-MRI) was the most sensitive imaging technique for preoperative staging of breast cancer. However, Unenhanced Magnetic Resonance Imaging combined with Digital Breast Tomosynthesis (UE-MRI+DBT) demonstrated good sensitivity and accuracy in lesion detection and tumor size assessment as well.
FRONTIERS IN ONCOLOGY
(2021)
Proceedings Paper
Optics
Hyeongseok Kim, Hoyeon Lee, Seoyoung Lee, Young-Wook Choi, Young Jin Choi, Kee Hyun Kim, Wontaek Seo, Choul Woo Shin, Seungryong Cho
Summary: Digital breast tomosynthesis is a widely used breast imaging technique that provides quasi-3D positional information of the breast anatomy. Breast density has a strong impact on the diagnostic performance of tomosynthesis. The investigation of dual-energy tomosynthesis aims to improve its diagnostic performance by acquiring both high- and low-energy projections.
MEDICAL IMAGING 2022: PHYSICS OF MEDICAL IMAGING
(2022)
Article
Engineering, Biomedical
N. W. Marshall, L. Cockmartin, H. Bosmans
Summary: Part II of this study presents constancy tests for artifacts, image uniformity, exposure time, and phantom-based dosimetry in mammography systems with contrast enhanced mammography (CEM) capability. The study evaluates the uniformity and signal-to-noise ratio of images taken with different phantom compositions and assesses the mean glandular dose (MGD) as a function of simulated breast thickness. The results show that image uniformity is superior for low energy images compared to high energy images, and the MGD is lower for high energy images than for low energy images.
PHYSICS IN MEDICINE AND BIOLOGY
(2023)
Article
Computer Science, Interdisciplinary Applications
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
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
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
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
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.
Article
Physics, Applied
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
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
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
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
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
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
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
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
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.
Article
Engineering, Environmental
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)