Article
Biophysics
Li Feng
Summary: This paper proposes a highly accelerated 4D dynamic MRI framework with subsecond temporal resolution to reduce intraframe motion blurring. The method combines radial sampling and tailored reconstruction. The proposed approach enables highly-accelerated 4D dynamic imaging at subsecond temporal resolution, and it has been successfully tested in abdominal motion phantom and dynamic contrast-enhanced MRI.
NMR IN BIOMEDICINE
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Marjolein Piek, Daniel Ryd, Johannes Toger, Frederik Testud, Erik Hedstrom, Anthony H. Aletras
Summary: This study explores a fetal 3D cardiovascular cine acquisition using radial image acquisition and compressed-sensing reconstruction, and compares it with conventional multislice 2D imaging. Results show that the 3D imaging has shorter scan time but lower image quality and contrast compared to the standard 2D imaging.
MAGNETIC RESONANCE IN MEDICINE
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Felix N. Harder, Johannes Budjan, Marcel D. Nickel, Robert Grimm, Hubertus Pietsch, Stefan O. Schoenberg, Gregor Jost, Ulrike I. Attenberger
Summary: The study compared the performance of two CS-accelerated MRI sequences for dynamic liver imaging and found similar results in terms of image quality, contrast enhancement, and presence of artifacts.
INVESTIGATIVE RADIOLOGY
(2021)
Article
Computer Science, Artificial Intelligence
Ville-Veikko Wettenhovi, Ville Kolehmainen, Mikko Kettunen, Olli Grohn, Marko Vauhkonen
Summary: We propose a state estimation approach for time-varying magnetic resonance imaging using a priori information. The method models the time-dependent image reconstruction problem with separate state evolution and observation models and utilizes the Kalman filter and steady-state Kalman smoother to compute state estimates. The results show that the proposed approach with data-driven process noise covariance can improve both spatial and temporal resolution.
JOURNAL OF MATHEMATICAL IMAGING AND VISION
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yu Y. Li, Pengyue Zhang, Shams Rashid, Yang J. Cheng, Wenhui Li, William Schapiro, Kathleen Gliganic, Ann-Marie Yamashita, Marie Grgas, Elizabeth Haag, J. Jane Cao
Summary: MRI can measure cardiac response to exercise stress, but has limitations in quantifying fast and unstable cardiac dynamics. A new real-time MRI technique was developed for improved quantitative performance in exercise stress cardiac MRI. Fourier-series reconstruction effectively addressed data insufficiency due to MRI speed limitation.
MAGNETIC RESONANCE IMAGING
(2021)
Article
Biophysics
Claudia Calcagno, John A. David, Abdallah G. Motaal, Bram F. Coolen, Thijs Beldman, Alexandra Corbin, Arnav Kak, Sarayu Ramachandran, Alison Pruzan, Arthi Sridhar, Raphael Soler, Christopher M. Faries, Zahi A. Fayad, Willem J. M. Mulder, Gustav J. Strijkers
Summary: This study presents a self-gated, dynamic contrast-enhanced magnetic resonance imaging technique to assess the longitudinal changes in endothelial permeability in the aortic root of atherosclerotic mice. The washout rate of contrast agent was found to be significantly correlated with diet duration and macrophage density.
NMR IN BIOMEDICINE
(2023)
Article
Engineering, Biomedical
KyungPyo Hong, Florian Schiffers, Amanda L. DiCarlo, Cynthia K. Rigsby, Hassan Haji-Valizadeh, Daniel C. Lee, Michael Markl, Aggelos K. Katsaggelos, Daniel Kim
Summary: The study developed a method to accelerate compressed sensing reconstruction of subsampled radial k-space data without significant loss in image quality. Comparison showed that the method outperformed other techniques in reconstructing subsampled real-time cine and cardiac perfusion datasets.
PHYSICS IN MEDICINE AND BIOLOGY
(2021)
Article
Clinical Neurology
A. Pires, G. Nayak, E. Zan, M. Hagiwara, O. Gonen, G. Fatterpekar
Summary: This study aimed to evaluate the accuracy of qualitative and quantitative metrics derived from dynamic contrast-enhanced MR imaging in differentiating paragangliomas and schwannomas in the jugular foramen. The results showed that there was a statistically significant difference between paragangliomas and schwannomas in terms of various parameters, and a univariate logistic model using wash-in rate as a variable was able to correctly predict all observed lesions.
AMERICAN JOURNAL OF NEURORADIOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Ping N. Wang, Julia V. Velikina, Roberta M. Strigel, Leah C. Henze Bancroft, Alexey A. Samsonov, Ty A. Cashen, Kang Wang, Frederick Kelez, Kevin M. Johnson, Frank R. Korosec, Ali Ersoz, James H. Holmes
Summary: The MOCCO reconstruction was able to capture rapid lesion kinetics and provide high image quality across a range of optimal regularization values. In comparison, the CS-TV method demonstrated either high spatial resolution with reduced temporal accuracy at large regularization values or recovery of rapid lesion kinetics with reduced image quality at low regularization values. Simulations showed that MOCCO with radial acquisition is a robust imaging technique for improving temporal fidelity while maintaining high spatial resolution and image quality in bilateral breast DCE MRI.
MAGNETIC RESONANCE IN MEDICINE
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Ping Ni Wang, Julia V. Velikina, Leah C. Henze Bancroft, Alexey A. Samsonov, Frederick Kelcz, Roberta M. Strigel, James H. Holmes
Summary: In this study, we evaluated the MOCCO reconstruction method for high spatial and temporal resolution breast DCE imaging. The results showed that MOCCO was able to accurately reconstruct curves with different temporal contrast enhancement, resulting in a more accurate measurement of PK parameters compared to conventional low-rank reconstruction and compressed sensing methods.
Article
Radiology, Nuclear Medicine & Medical Imaging
Akos Varga-Szemes, Moritz Halfmann, U. Joseph Schoepf, Ning Jin, Anton Kilburg, Danielle M. Dargis, Christoph Duber, Amir Ese, Gilberto Aquino, Fei Xiong, Karl-Friedrich Kreitner, Michael Markl, Tilman Emrich
Summary: This study compared conventional and compressed sensing (CS) based highly accelerated 4D flow imaging in intracardiac flow measurements. The results showed that CS acceleration significantly reduced the acquisition time and had good agreement with conventional acceleration in most measurements. However, CS technique showed underestimation errors in diastolic function evaluation.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2023)
Article
Biophysics
Peter J. Niedbalski, Zackary I. Cleveland
Summary: Hyperpolarized Xe-129 MRI is used to noninvasively probe lung structure and function in preclinical settings with small animals. To address issues of signal decay and image quality degradation, constant flip angle imaging and keyhole reconstruction techniques are used to maintain signal intensity consistency and generate flip angle maps for quantitative image correction.
NMR IN BIOMEDICINE
(2021)
Article
Engineering, Biomedical
Yuhan Hu, Xinlin Zhang, Dicheng Chen, Zhiping Yan, Xiaoyong Shen, Gen Yan, Lin Ou-yang, Jianzhong Lin, Jiyang Dong, Xiaobo Qu
Summary: In this paper, a new parallel CS reconstruction model for DCE-MRI is proposed to improve reconstruction quality by adjusting the importance of time and space sparsity. The results demonstrate that the proposed method achieves the lowest reconstruction error and highest image structural similarity at high acceleration rates.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Martin Aleksiev, Martin Kraemer, Nicholas M. Brisson, Marta B. Maggioni, Georg N. Duda, Juergen R. Reichenbach
Summary: This study utilized an MRI-safe device guiding knee motion and a rotary encoder in the MRI measurements of multiple knee flexion-extension cycles. The reproducibility of knee motion was investigated. Real-time and CINE mode anatomical images were reconstructed for different knee flexion angles by synchronizing encoder information with MRI data and performing flexion angle selective gating across multiple motion cycles. It was found that angle windows between 0.5 degrees and 3 degrees exhibited acceptable image sharpness without significant motion-induced blurring. The flexible retrospective image reconstruction allowed for reduction in the number of motion cycles included in the reconstruction and investigation of the influence of acquisition time on image quality. This study demonstrated the ability to acquire whole-knee 3D dynamic imaging using a retrospectively gated 3D cone UTE sequence.
MAGNETIC RESONANCE IMAGING
(2022)
Article
Biochemical Research Methods
James P. McLean, Christine P. Hendon
Summary: The study introduces a compressed sensing algorithm and sampling strategy to reconstruct 3-D OCT images from as little as 10% of the original data, demonstrating reconstruction for clinically relevant tissue types. The proposed method reduces scan time and improves image sparsity by reconstructing the difference between adjacent b-scans and applying Gaussian filtering iteratively.
BIOMEDICAL OPTICS EXPRESS
(2021)
Review
Biophysics
Li Feng, Dan Ma, Fang Liu
Summary: This paper discusses the applications of deep learning in rapid MR relaxometry and reviews emerging deep-learning-based techniques that can improve MR relaxometry in terms of imaging speed, image quality, and quantification robustness.
NMR IN BIOMEDICINE
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Zhitao Li, Xiang Xu, Yang Yang, Li Feng
Summary: MP-GRASP demonstrates good robustness to B-1 inhomogeneity in both phantom and brain experiments, with longitudinal variability below 2.5% and 2%, respectively. The T-1 values estimated from MP-GRASP show high accuracy compared to IR-SE imaging.
MAGNETIC RESONANCE IN MEDICINE
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Jonghyun Bae, Zhengnan Huang, Florian Knoll, Krzysztof Geras, Terlika Pandit Sood, Li Feng, Laura Heacock, Linda Moy, Sungheon Gene Kim
Summary: This study develops a deep learning approach to estimate the local capillary-level input function (CIF) for pharmacokinetic model analysis of DCE-MRI. The results show that the proposed approach using CIF estimation can detect malignancy in clinical settings without the need for manual measurement of arterial input function (AIF).
MAGNETIC RESONANCE IN MEDICINE
(2022)
Article
Biophysics
Li Feng
Summary: This paper proposes a highly accelerated 4D dynamic MRI framework with subsecond temporal resolution to reduce intraframe motion blurring. The method combines radial sampling and tailored reconstruction. The proposed approach enables highly-accelerated 4D dynamic imaging at subsecond temporal resolution, and it has been successfully tested in abdominal motion phantom and dynamic contrast-enhanced MRI.
NMR IN BIOMEDICINE
(2023)
Editorial Material
Radiology, Nuclear Medicine & Medical Imaging
Stefano Mandija, Chao Ma, Ruiliang Bai, Li Feng, Francesco Giganti, Andrada Ianus, Hong-Hsi Lee, Fei Li, Thomas Welton, Fernando Calamante
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Angela Tong, Barun Bagga, Robert Petrocelli, Paul Smereka, Abhinav Vij, Kun Qian, Robert Grimm, Ali Kamen, Mahesh B. Keerthivasan, Marcel Dominik Nickel, Heinrich von Busch, Hersh Chandarana
Summary: This study compared conventional bpMRI with bpMRI including deep learning-accelerated T2WI in diagnosing prostate cancer. The results showed that deep learning-accelerated T2WI can be used to reduce scan time for bpMRI.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Valentin Fauveau, Adam Jacobi, Adam Bernheim, Michael Chung, Thomas Benkert, Zahi A. Fayad, Li Feng
Summary: Recovered COVID-19 patients may develop long-COVID symptoms in the lung. A spiral ultrashort echo time MRI sequence (Spiral-VIBE-UTE) showed promising performance in post-COVID patients compared to CT, with the highest image quality scores achieved using the line in partition reordering scheme in an inspiratory breath-holding position.
MAGNETIC RESONANCE IMAGING
(2023)
Letter
Radiology, Nuclear Medicine & Medical Imaging
Stefano Mandija, Chao Ma, Ruiliang Bai, Li Feng, Francesco Giganti, Andrada Ianus, Hong-Hsi Lee, Fei Li, Thomas Welton, Fernando Calamante
MAGNETIC RESONANCE IN MEDICINE
(2023)
Article
Biophysics
Nian Wang, Surendra Maharjan, Andy P. Tsai, Peter B. Lin, Yi Qi, Abigail Wallace, Megan Jewett, Fang Liu, Gary E. Landreth, Adrian L. Oblak
Summary: High-resolution MRI provides unique image contrasts to probe tissue microstructure, but validation with histology is essential due to differences in spatial resolution and image contrast. To validate MRI metrics, whole mouse brain imaging was performed at high resolution using the Allen Mouse Brain Common Coordinate Framework (CCFv3). Comparison between MRI metrics and histology revealed regional and metric-dependent correlations. Integrating different imaging modalities in a common space improves our understanding of brain complexity at different scales.
NMR IN BIOMEDICINE
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Haoyang Pei, Ding Xia, Xiang Xu, Yang Yang, Yao Wang, Fang Liu, Li Feng
Summary: This work proposes a novel deep learning-assisted LLIR MRI approach for rapid 3D T-1 mapping without time delay, achieving accurate T-1 estimation.
MAGNETIC RESONANCE IN MEDICINE
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Li Feng
Summary: This study proposes a framework called live-view golden-angle radial sparse parallel (GRASP) MRI for low-latency and high-fidelity real-time volumetric MRI. The framework places the burden of acquisition and reconstruction in the off-view stage, enabling low-latency real-time 3D imaging in the live-view stage. The accuracy of live-view GRASP MRI and the robustness of 2D navigators for characterizing respiratory variations and/or body movements were assessed.
MAGNETIC RESONANCE IN MEDICINE
(2023)
Editorial Material
Radiology, Nuclear Medicine & Medical Imaging
Angela Tong, Kirti Magudia
Article
Radiology, Nuclear Medicine & Medical Imaging
Albert Jang, Paul K. Han, Chao Ma, Georges El Fakhri, Nian Wang, Alexey Samsonov, Fang Liu
Summary: A method of inducing Bloch-Siegert shift and magnetization transfer simultaneously is introduced, and its application in measuring binary spin-bath model parameters is demonstrated. The method is validated through simulations and experiments, showing that it can estimate spin-bath parameters free from B-1(+) bias.
MAGNETIC RESONANCE IN MEDICINE
(2023)
Article
Biophysics
Mingyue Zhao, Daming Shen, Lexiaozi Fan, Kyungpyo Hong, Li Feng, Brandon C. Benefield, Bradley D. Allen, Daniel C. Lee, Daniel Kim
Summary: Incorporating view sharing and k-space weighted contrast into a GRASP-Pro reconstruction improved spatial resolution of the single-shot, multi-TI LGE pulse sequence. The improved 25-fold accelerated, single-shot LGE sequence produced clinically acceptable image quality, multi-TI reconstruction, and accurate myocardial scar volume quantification.
NMR IN BIOMEDICINE
(2023)