Skip to main content

Magnetic Resonance Materials in Physics, Biology and Medicine OnlineFirst articles

18.04.2024 | Review

Magnetic resonance metrics for identification of cuprizone-induced demyelination in the mouse model of neurodegeneration: a review

Neurodegenerative disorders, including Multiple Sclerosis (MS), are heterogenous disorders which affect the myelin sheath of the central nervous system (CNS). Magnetic Resonance Imaging (MRI) provides a non-invasive method for studying …

verfasst von:
Emma Friesen, Kamya Hari, Maxina Sheft, Jonathan D. Thiessen, Melanie Martin

13.04.2024 | Research Article

Results of the 2023 ISBI challenge to reduce GABA-edited MRS acquisition time

Magnetic resonance spectroscopy (MRS) is a non-invasive technique to quantify metabolite concentrations in vivo. One metabolite of particular interest to the neuroscience community gamma-aminobutyric acid (GABA), the primary inhibitory …

verfasst von:
Rodrigo Pommot Berto, Hanna Bugler, Gabriel Dias, Mateus Oliveira, Lucas Ueda, Sergio Dertkigil, Paula D. P. Costa, Leticia Rittner, Julian P. Merkofer, Dennis M. J. van de Sande, Sina Amirrajab, Gerhard S. Drenthen, Mitko Veta, Jacobus F. A. Jansen, Marcel Breeuwer, Ruud J. G. van Sloun, Abdul Qayyum, Cristobal Rodero, Steven Niederer, Roberto Souza, Ashley D. Harris

10.04.2024 | Research Article

Spinet-QSM: model-based deep learning with schatten p-norm regularization for improved quantitative susceptibility mapping

Quantitative susceptibility mapping (QSM) is a magnetic resonance imaging (MRI) technique aimed at mapping the magnetic susceptibility of tissue from the gradient echo imaging phase [ 1 – 4 ], QSM has important clinical relevance because bulk …

verfasst von:
Vaddadi Venkatesh, Raji Susan Mathew, Phaneendra K. Yalavarthy

06.04.2024 | Research Article

Conversion map from quantitative parameter mapping to myelin water fraction: comparison with R1·R2* and myelin water fraction in white matter

Recently, for the diagnosis of white matter (WM) diseases such as multiple sclerosis, myelin water content has been regarded as an important potential factor. Magnetic resonance (MR) signal of myelin depends on the number of protons included in …

verfasst von:
Shun Kitano, Yuki Kanazawa, Masafumi Harada, Yo Taniguchi, Hiroaki Hayashi, Yuki Matsumoto, Kosuke Ito, Yoshitaka Bito, Akihiro Haga

05.04.2024 | Research Article

Quantifying H&E staining results, grading and predicting IDH mutation status of gliomas using hybrid multi-dimensional MRI

Glioma is the most common and malignant tumor in the central nervous system (CNS) [ 1 ]. The diagnosis of gliomas is based on an integrated morphological and molecular analysis [ 2 ]. The morphological analysis mainly relies on hematoxylin and …

verfasst von:
Wenbo Sun, Dan Xu, Huan Li, Sirui Li, Qingjia Bao, Xiaopeng Song, Daniel Topgaard, Haibo Xu

24.02.2024 | Research Article

Diffusion weighted imaging combining respiratory triggering and navigator echo tracking in the upper abdomen

Abdominal diffusion weighted imaging (DWI) has proven clinically useful in lesion detection and follow-up due to lesion conspicuity and non-invasive nature without contrast enhancement [ 1 – 3 ]. DWI has been found to be useful in detecting primary …

verfasst von:
Yoshihiko Tachikawa, Hiroshi Hamano, Naoya Chiwata, Hikaru Yoshikai, Kento Ikeda, Yasunori Maki, Yukihiko Takahashi, Makiko Koike

Open Access 23.02.2024 | Research Article

Impact of truncating diffusion MRI scans on diffusional kurtosis imaging

Diffusion magnetic resonance imaging (dMRI) is an imaging modality that provides sensitive biomarkers of brain microstructural properties. Due to its clinically feasible acquisition times, diffusion tensor imaging (DTI) is still the most used dMRI …

verfasst von:
Ana R. Fouto, Rafael N. Henriques, Marc Golub, Andreia C. Freitas, Amparo Ruiz-Tagle, Inês Esteves, Raquel Gil-Gouveia, Nuno A. Silva, Pedro Vilela, Patrícia Figueiredo, Rita G. Nunes

22.02.2024 | Review

Stop moving: MR motion correction as an opportunity for artificial intelligence

Subject motion is a long-standing problem of magnetic resonance imaging (MRI), which can seriously deteriorate the image quality. Various prospective and retrospective methods have been proposed for MRI motion correction, among which deep learning …

verfasst von:
Zijian Zhou, Peng Hu, Haikun Qi

13.02.2024 | Research Article

High-resolution prostate diffusion MRI using eddy current-nulled convex optimized diffusion encoding and random matrix theory-based denoising

Diffusion-weighted MRI (DWI) is one of the key components of multi-parametric (mp) MRI for diagnosis and grading of prostate cancer (PCa) [ 1 ]. Analysis of DWI signals, such as by mapping the apparent diffusion coefficient (ADC), can provide …

verfasst von:
Zhaohuan Zhang, Elif Aygun, Shu-Fu Shih, Steven S. Raman, Kyunghyun Sung, Holden H. Wu

13.02.2024 | Research Article

Linearity and bias of proton density fat fraction across the full dynamic range of 0–100%: a multiplatform, multivendor phantom study using 1.5T and 3T MRI at two sites

Proton Density Fat Fraction (PDFF) has become an established and widely accepted quantitative MRI biomarker of tissue fat content, gaining initial popularity for liver applications [ 1 – 4 ]. Chemical-shift-encoded (CSE) multi-echo Dixon-based …

verfasst von:
Houchun H. Hu, Henry Szu-Meng Chen, Diego Hernando

Open Access 01.02.2024 | Research Article

Automated abdominal adipose tissue segmentation and volume quantification on longitudinal MRI using 3D convolutional neural networks with multi-contrast inputs

Adipose tissue (AT) is a long-term energy depot that can release fatty acids to satisfy the body’s energy needs [ 1 ]. Increased AT volume is highly associated with escalating incidences of overweight/obesity [ 2 ]. There are two main compartments …

verfasst von:
Sevgi Gokce Kafali, Shu-Fu Shih, Xinzhou Li, Grace Hyun J. Kim, Tristan Kelly, Shilpy Chowdhury, Spencer Loong, Jeremy Moretz, Samuel R. Barnes, Zhaoping Li, Holden H. Wu

21.11.2023 | Research Article

Learning to deep learning: statistics and a paradigm test in selecting a UNet architecture to enhance MRI

In the field of magnetic resonance (MR), there is an ever-growing body of work in deep learning (DL) techniques [ 1 – 5 ], including feed-forward convolutional neural networks (CNN) [ 5 – 7 ], UNets [ 4 , 8 – 14 ], and generative adversarial …

verfasst von:
Rishabh Sharma, Panagiotis Tsiamyrtzis, Andrew G. Webb, Ernst L. Leiss, Nikolaos V. Tsekos

21.11.2023 | Research Article

Improvement of image quality in diffusion-weighted imaging with model-based deep learning reconstruction for evaluations of the head and neck

Diffusion-weighted imaging (DWI) is an important modality for evaluations of the head and neck due to its ability to detect lesions, differentiate between benign and malignant lesions, and predict treatment outcomes [ 1 – 4 ]. Single-shot …

verfasst von:
Noriyuki Fujima, Junichi Nakagawa, Hiroyuki Kameda, Yohei Ikebe, Taisuke Harada, Yukie Shimizu, Nayuta Tsushima, Satoshi Kano, Akihiro Homma, Jihun Kwon, Masami Yoneyama, Kohsuke Kudo

18.11.2023 | Research Article

Compressed SVD-based L + S model to reconstruct undersampled dynamic MRI data using parallel architecture

Magnetic resonance imaging (MRI) is a versatile medical imaging modality used to produce images of the structure and physiological processes of the human body. In clinics, MRI is a highly demanded imaging method due to its non-ionizing effect …

verfasst von:
Muhammad Shafique, Sohaib Ayaz Qazi, Hammad Omer

Open Access 16.11.2023 | Review

Physiological confounders of renal blood flow measurement

Renal blood flow (RBF) has an important role in providing high capillary pressure to drive glomerular filtration and maintain oxygen supply to meet the demands of renal metabolism. A well-recognized feature of the renal circulation is its ability …

verfasst von:
Bashair Alhummiany, Kanishka Sharma, David L. Buckley, Kywe Kywe Soe, Steven P. Sourbron

15.09.2023 | Research Article

Comparison of convolutional-neural-networks-based method and LCModel on the quantification of in vivo magnetic resonance spectroscopy

Magnetic resonance spectroscopy (MRS) serves as a noninvasive tool for assessing biochemical information within the brain, finding wide application in various neurological and psychiatric studies [ 1 – 4 ]. However, MRS quantification poses …

verfasst von:
Yu-Long Huang, Yi-Ru Lin, Shang-Yueh Tsai

07.03.2018

Toward faster inference of micron-scale axon diameters using Monte Carlo simulations

Recent advances in the development of the capabilities of diffusion MRI have allowed MRI to infer the sizes of compartments in samples that are on the order of micrometers in diameter. There has been a growing interest in using oscillating …

24.02.2018

Vessel radius mapping in an extended model of transverse relaxation

Signal intensities of biological tissues in magnetic resonance imaging depend on tissue-specific parameters such as proton spin densities and proton dephasing characteristics. They can be analyzed with spin density-weighted, longitudinal $$T_1$$ T …

20.02.2018

The impact of fibre orientation on T1-relaxation and apparent tissue water content in white matter

The investigation of the human brain microstructure in vivo is a field of great interest in the neuroimaging community. I.e., T 2 * mapping using gradient echo (GE) acquisitions have become a widely used tool for quantitative brain mapping in many …

20.02.2018

Gestational and lactational exposure to dichlorinated bisphenol A induces early alterations of hepatic lipid composition in mice

Bisphenol A [2,2-bis(4-hydroxyphenyl)propane] (BPA) is an endocrine disrupting chemical extensively used as a raw material in the production of epoxy resin and polycarbonate plastics. BPA is also found in paper (e.g. thermal paper and carbonless …