Article
Radiology, Nuclear Medicine & Medical Imaging
Liangyou Liu, Zhaotong Li, Zeru Zhang, Yifan Xia, Sha Li, Song Gao
Summary: The study aimed to identify a reliable diffusion gradient encoding scheme (DGES) based on the golden ratio (GR) to precisely estimate DTI parameters of partially acquired datasets due to subject motion, showing lower error propagation sensitivity compared to other encoding schemes.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2022)
Article
Computer Science, Artificial Intelligence
Alexis Reymbaut, Alex Valcourt Caron, Guillaume Gilbert, Filip Szczepankiewicz, Markus Nilsson, Simon K. Warfield, Maxime Descoteaux, Benoit Scherrer
Summary: Diffusion tensor imaging provides increased sensitivity to microstructural tissue changes compared to conventional anatomical imaging, but presents limited specificity. To address this issue, the DIAMOND model subdivides voxel content into diffusion compartments and estimates compartmental non-central matrix-variate Gamma distributions of diffusion tensors. Incorporating tensor-valued diffusion encoding, the Magic DIAMOND model demonstrates improved accuracy in estimating brain microstructural features, particularly in regions of fiber crossing.
MEDICAL IMAGE ANALYSIS
(2021)
Article
Multidisciplinary Sciences
Po-Wei Cheng, Tzi-Dar Chiueh, Jyh-Horng Chen
Summary: The proposed Coherent Wideband method can enhance neuro-architecture studies by separating multiple excited slices, and is applicable to any existing MRI instrument, even those without array coils. This method also improves scan efficiency and image quality, providing faster, higher resolution, thinner slice, or higher SNR imaging for precision neuro-architecture studies.
SCIENTIFIC REPORTS
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Alan Seth Barnett, M. Okan Irfanoglu, Bennett Landman, Baxter Rogers, Carlo Pierpaoli
Summary: This method uses diffusion measurements to map the spatial dependence of the magnetic field produced by the gradient coils of an MRI scanner with sufficient accuracy to correct errors in quantitative diffusion MRI. The results demonstrate substantial reduction in spatial inhomogeneity of computed mean diffusivities and values of fractional anisotropy, as well as elimination of artifactual directional bias in the tensor field due to gradient nonlinearity.
MAGNETIC RESONANCE IN MEDICINE
(2021)
Article
Neurosciences
Kulam Najmudeen Magdoom, Alexandru V. Avram, Joelle E. Sarlls, Gasbarra Dario, Peter J. Basser
Summary: Neural tissue microstructure plays a crucial role in various processes, and diffusion tensor distribution (DTD) MRI provides a new framework for investigating subvoxel heterogeneity. By employing pulsed field gradients (iPFG), the researchers developed a method to acquire multiple diffusion encoding (MDE) images and estimate DTD in the human brain. Through this technique, they were able to reveal microscopic anisotropy and capture complex white matter fiber organization, which could aid in improving neurological disease diagnosis.
Article
Engineering, Multidisciplinary
Zihan Wu, See Yenn Chong, Michael D. Todd
Summary: This article introduces a new damage visualization method using gradient vectors to extract features sensitive to defects, generating distinctive damage patterns through accumulated orientation maps. Combining this approach with conventional laser ultrasonic imaging techniques enables fast and robust damage identification and characterization.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2021)
Article
Engineering, Multidisciplinary
Yushu Xu, Yao Wang, Leixiang Bian, Songtong Han, ChaoPeng Luo, Hejun Jiang
Summary: This study proposes a real-time calibration method for misalignment errors of a magnetometer array. It uses a standard three-axis coil to generate an alternating current magnetic field with varied magnitudes and directions, and calibrates the misalignment errors by minimizing the difference between experimentally calibrated magnetic fields and theoretically calculated magnetic fields. Compared to conventional methods, this approach does not require expensive equipment or special environments, enabling real-time calibration in ambient conditions.
Article
Multidisciplinary Sciences
Kavon Karrobi, Anup Tank, Mohammad Ahsan Fuzail, Madhumathi Kalidoss, Karissa Tilbury, Muhammad Zaman, Jacopo Ferruzzi, Darren Roblyer
Summary: Cancer cells are sensitive to the physical properties of their microenvironment, which affect their downstream signaling and metabolic pathways. Using FLIM, researchers studied the metabolic changes in 3D breast spheroids embedded in collagen with different densities. The results showed that cells in contact with the extracellular matrix and those that migrated further exhibited metabolic shifts towards oxidative phosphorylation (OXPHOS).
SCIENTIFIC REPORTS
(2023)
Article
Chemistry, Analytical
Bo Wang, Guoquan Ren, Zhining Li, Qingzhu Li, Ziming Cai
Summary: This paper proposes an optimization method based on the Euler deconvolution localization method to address the issues faced by small target localization methods based on a magnetic gradient tensor. Simulation results show that the proposed method has higher accuracy compared to the improved Euler deconvolution method. Experimental results further validate that the proposed method is more precise and accurate compared to the Euler deconvolution and enhanced methods.
Article
Multidisciplinary Sciences
Lipeng Ning, Filip Szczepankiewicz, Markus Nilsson, Yogesh Rathi, Carl-Fredrik Westin
Summary: The study introduces a new approach for analyzing diffusion MRI data using tensor-valued encoding technique, which can better characterize tissue microstructure. Novel imaging indices are derived to distinguish different ensembles of diffusion processes. The effectiveness of the proposed method is demonstrated using synthetic data and in vivo data from the human brain.
SCIENTIFIC REPORTS
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Mihika Gangolli, Wen-Tung Wang, Neville D. Gai, Dzung L. Pham, John A. Butman
Summary: This study aimed to determine whether a diffusion gradient table can acquire data to estimate both dynamic and diffusion tensor imaging (DTI) metrics simultaneously. The results showed that using a nested cubes diffusion gradient table in a single acquisition can produce tensor-based and dynamic diffusion measurements.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2023)
Article
Neurosciences
Alexandru V. Avram, Kadharbatcha S. Saleem, Peter J. Basser
Summary: High-resolution imaging studies have shown that water diffusion in cortical tissue preferentially occurs along radial and tangential orientations. Based on this finding, a new imaging framework is proposed to visualize non-parametric diffusion tensor distributions. The framework allows efficient reconstruction of microscopic diffusion tensors and quantification of their shape and size characteristics. The framework is validated by comparing the results with histological observations, demonstrating its potential for analyzing the microstructure of brain tissue.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Jiyoon Yoo, Leevi Kerkela, Patrick W. Hales, Kiran K. Seunarine, Christopher A. Clark
Summary: This study successfully implemented a multidimensional diffusion-encoding protocol to image the microstructure of the healthy hippocampus at high resolution, revealing orientation dispersion in hippocampal tissue. The reproducibility of q-space trajectory imaging metrics was comparable to DTI, providing reference values for microstructural metrics in the healthy hippocampus.
MAGNETIC RESONANCE IN MEDICINE
(2022)
Article
Geochemistry & Geophysics
A. T. Krzyzak, W. Mazur, A. Fheed, W. P. Weglarz
Summary: This study explores the application of diffusion tensor imaging (DTI) in the characterization of rock core samples, demonstrating its potential in studying the pore space characteristics through analysis of DT parameters and visualization results. The introduction of a new parameter, principal diffusion tracts, provides additional information to understand the microgeometry of the sample's pore network. The study also showcases the potential applications of DTI in determining pore size distribution, tortuosity, and conductivity.
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
(2022)
Article
Cardiac & Cardiovascular Systems
David E. Sosnovik, Marielle Scherrer-Crosbie
Summary: Major advances in biomedical imaging have allowed noninvasive observation of physiological, cellular, and molecular processes in small animal models, providing valuable insights for medical research and clinical applications.
CIRCULATION RESEARCH
(2022)
Article
Geosciences, Multidisciplinary
Adam Fheed, Krzysztof Klodowski, Artur Krzyzak
JOURNAL OF APPLIED GEOPHYSICS
(2020)
Article
Chemistry, Physical
Artur T. Krzyzak, Weronika Mazur, Jacek Matyszkiewicz, Alicia Kochman
JOURNAL OF PHYSICAL CHEMISTRY C
(2020)
Article
Chemistry, Applied
Artur T. Krzyzak, Iwona Habina-Skrzyniarz, Grzegorz Machowski, Weronika Mazur
MICROPOROUS AND MESOPOROUS MATERIALS
(2020)
Article
Chemistry, Physical
Joanna Mastalska-Poplawska, Agata Stempkowska, Iwona Habina-Skrzyniarz, Artur T. Krzyak, Pawel Rutkowski, Piotr Izak, Jakub Rudny, Tomasz Gawenda
Article
Cell Biology
Weronika Mazur, Artur T. Krzyzak
Article
Medicine, General & Internal
Weronika Mazur, Malgorzata Urbanczyk-Zawadzka, Robert Banys, Rafal Obuchowicz, Mariusz Trystula, Artur T. Krzyzak
Summary: This study applied BSD-DTI method to perform diffusion tensor imaging for PAD, utilizing a new DTI technique to evaluate diffusion changes in calf muscles. By adjusting scanning parameters and calibrating using the BSD method, systematic errors were effectively reduced, allowing for high-resolution scans in a short period of time.
Article
Biochemistry & Molecular Biology
Grzegorz Stoch, Artur T. Krzyzak
Summary: In this study, relaxometric NMR investigations were conducted on MCM-41 and SBA-15 model systems in various saturation states using the Inverse Laplace Transform (ILT) and regularization technique. The research aimed to understand the dynamics of water molecules in mesoporous silica materials in different geometries through relaxation spectra analysis.
Article
Biochemistry & Molecular Biology
Marc Wagemann, Natalia Radzik, Artur Krzyzak, Alina Adams
Summary: Metal-organic frameworks (MOFs) have great potential as an efficient alternative for solvent separation and purification procedures. A new method using low-field proton nuclear magnetic resonance (NMR) relaxometry has been introduced to investigate the efficiency of MOF materials for separating binary solvent mixtures, with reliability demonstrated through comparison with traditional H-1 liquid-state NMR spectroscopy.
Article
Cell Biology
Artur T. Krzyzak, Iwona Habina-Skrzyniarz, Weronika Mazur, Maciej Sulkowski, Marta Kot, Marcin Majka
Summary: The biophysical characterization of mesenchymal stem cells (MSCs) is crucial for the development of MSC-based therapies. This study employed nuclear magnetic resonance (NMR) to analyze the MR properties of Wharton Jelly MSCs in a low magnetic field. The results provide specific MR parameters that can aid in tracking MSCs in vivo.
JOURNAL OF CELLULAR AND MOLECULAR MEDICINE
(2022)
Article
Geosciences, Multidisciplinary
Aliya Mukhametdinova, Iwona Habina-Skrzyniarz, Andrey Kazak, Artur Krzyzak
Summary: The study examines NMR analysis of fluid saturation in organic mudstones and modifies interpretation schemes for better results. By comparing existing schemes, a custom interpretation scheme is proposed that is best suited for petrophysical and geochemical data. The impact of mineral composition and geochemical properties on signal interpretation is also analyzed.
MARINE AND PETROLEUM GEOLOGY
(2021)
Article
Geochemistry & Geophysics
A. T. Krzyzak, W. Mazur, A. Fheed, W. P. Weglarz
Summary: This study explores the application of diffusion tensor imaging (DTI) in the characterization of rock core samples, demonstrating its potential in studying the pore space characteristics through analysis of DT parameters and visualization results. The introduction of a new parameter, principal diffusion tracts, provides additional information to understand the microgeometry of the sample's pore network. The study also showcases the potential applications of DTI in determining pore size distribution, tortuosity, and conductivity.
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
(2022)
Article
Green & Sustainable Science & Technology
Anna Sowizdzal, Grzegorz Machowski, Artur Krzyzak, Edyta Puskarczyk, Paulina Krakowska-Madejska, Anna Chmielowska
Summary: The petrophysical evaluation of the Lower Permian formation was conducted to assess its suitability as a geothermal reservoir for CO2-EGS. Effusive rocks were found to have the most potential, making them an ideal choice for geothermal reservoirs.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Cardiac & Cardiovascular Systems
Iwona Habina-Skrzyniarz, Artur T. Krzyzak
Summary: In this study, model cell suspensions were characterized using low-field 1H NMR relaxometry. A multi-parametric characterization based on independent 2D T1-T2 and D-T2 measurements was implemented to obtain a set of MR parameters as a specific signature for model cells.
POSTEPY W KARDIOLOGII INTERWENCYJNEJ
(2022)
Review
Cardiac & Cardiovascular Systems
Weronika Mazur, Artur T. Krzyzak, Franciszek Hennel
Summary: Diffusion-weighted magnetic resonance imaging (DWI) is a powerful diagnostic tool that can differentiate between different tissue types and visualize their conditions. Diffusion tensor imaging (DTI) provides information about microstructure. Cardiac DWI/DTI has promising clinical relevance and may improve clinical diagnosis of heart diseases.
POSTEPY W KARDIOLOGII INTERWENCYJNEJ
(2022)
Article
Cardiac & Cardiovascular Systems
Weronika Mazur, Malgorzata Urbanczyk-Zawadzka, Lukasz Czyz, Ewa Kwiecien, Robert Banys, Piotr Musialek, Artur T. Krzyzak
Summary: The study applied spin-echo echo planar imaging (SE-EPI) to diffusion tensor imaging (DTI) in patients with acute myocardial infarction (AMI). By using a specific method and algorithm, the study successfully obtained diffusion-weighted imaging (DWI) images showing infarct zones and quantitatively evaluated diffusion tensor parameters. The results demonstrated that the method is suitable for qualitative assessment of infarction severity and can approach the diffusion tensor parameter values reported for the myocardium, despite the lack of motion compensation blocks in the SE-EPI sequence.
POSTEPY W KARDIOLOGII INTERWENCYJNEJ
(2022)