keyword
https://read.qxmd.com/read/38102776/self-calibrated-subspace-reconstruction-for-multidimensional-mr-fingerprinting-for-simultaneous-relaxation-and-diffusion-quantification
#21
JOURNAL ARTICLE
Zhilang Qiu, Siyuan Hu, Walter Zhao, Ken Sakaie, Jessie E P Sun, Mark A Griswold, Derek K Jones, Dan Ma
PURPOSE: To propose a new reconstruction method for multidimensional MR fingerprinting (mdMRF) to address shading artifacts caused by physiological motion-induced measurement errors without navigating or gating. METHODS: The proposed method comprises two procedures: self-calibration and subspace reconstruction. The first procedure (self-calibration) applies temporally local matrix completion to reconstruct low-resolution images from a subset of under-sampled data extracted from the k-space center...
December 15, 2023: Magnetic Resonance in Medicine
https://read.qxmd.com/read/38102606/3d-mr-fingerprinting-derived-myelin-water-fraction-characterizing-brain-development-and-leukodystrophy
#22
JOURNAL ARTICLE
Hyun Gi Kim, Dongyeob Han, Jimin Kim, Jeong-Sun Choi, Kyung-Ok Cho
BACKGROUND: Magnetic resonance fingerprinting (MRF) enables fast myelin quantification via the myelin water fraction (MWF), offering a noninvasive method to assess brain development and disease. However, MRF-derived MWF lacks histological evaluation and remains unexamined in relation to leukodystrophy. This study aimed to access MRF-derived MWF through histology in mice and establish links between myelin, development, and leukodystrophy in mice and children, demonstrating its potential applicability in animal and human studies...
December 15, 2023: Journal of Translational Medicine
https://read.qxmd.com/read/38098428/deep-image-prior-cine-mr-fingerprinting-with-b-1-spin-history-correction
#23
JOURNAL ARTICLE
Jesse I Hamilton, Gastão Lima da Cruz, Imran Rashid, Jonathan Walker, Sanjay Rajagopalan, Nicole Seiberlich
PURPOSE: To develop a deep image prior (DIP) reconstruction for B1 + -corrected 2D cine MR fingerprinting (MRF). METHODS: The proposed method combines low-rank (LR) modeling with a DIP to generate cardiac phase-resolved parameter maps without motion correction, employing self-supervised training to enforce consistency with undersampled spiral k-space data. Two implementations were tested: one approach (DIP) for cine T1 , T2 , and M0 mapping, and a second approach (DIP with effective B1 + estimation [DIP-B1]) that also generated an effective B1 + map to correct for errors due to RF transmit inhomogeneities, through-plane motion, and blood flow...
December 14, 2023: Magnetic Resonance in Medicine
https://read.qxmd.com/read/38083275/dynamic-magnetic-resonance-vascular-fingerprinting-during-hypercapnia-for-quantitative-and-multiparametric-cerebrovascular-reactivity-measures
#24
JOURNAL ARTICLE
Gregory J Wheeler, Quimby N Lee, Audrey P Fan
Magnetic resonance fingerprinting (MRF) represents a potential paradigm shift in MR image acquisition, reconstruction, and analysis using computational biophysical modelling in parallel to image acquisition. Its flexibility allows for examination of cerebrovascular metrics through MR vascular fingerprinting (MRvF), and this has been extended even further to produce quantitative cerebral blood volume (CBV), microvascular vessel radius, and tissue oxygen saturation (SO2 ) maps of the whole brain simultaneously every few seconds...
July 2023: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://read.qxmd.com/read/38057971/quantitative-brain-mapping-using-magnetic-resonance-fingerprinting-on-a-50-mt-portable-mri-scanner
#25
JOURNAL ARTICLE
Liang Xuan, Yuxiang Zhang, Jiamin Wu, Yucheng He, Zheng Xu
Ultralow-field magnetic resonance imaging (ULF-MRI) has broad application prospects because of its portable hardware system and low cost. However, the low B0 magnitude of ULF-MRI results in a reduced signal-to-noise ratio in qualitative images compared with that of commercial high-field MRI, which can affect the visibility and delineation of tissues and lesions. In this work, a magnetic resonance fingerprinting (MRF) approach is applied to a homemade 50-mT ULF-MRI scanner to achieve efficient quantitative brain imaging, which is an original and promising disease-diagnosis approach for portable MRI systems...
December 6, 2023: NMR in Biomedicine
https://read.qxmd.com/read/38033290/from-intuition-to-ai-evolution-of-small-molecule-representations-in-drug-discovery
#26
JOURNAL ARTICLE
Miles McGibbon, Steven Shave, Jie Dong, Yumiao Gao, Douglas R Houston, Jiancong Xie, Yuedong Yang, Philippe Schwaller, Vincent Blay
Within drug discovery, the goal of AI scientists and cheminformaticians is to help identify molecular starting points that will develop into safe and efficacious drugs while reducing costs, time and failure rates. To achieve this goal, it is crucial to represent molecules in a digital format that makes them machine-readable and facilitates the accurate prediction of properties that drive decision-making. Over the years, molecular representations have evolved from intuitive and human-readable formats to bespoke numerical descriptors and fingerprints, and now to learned representations that capture patterns and salient features across vast chemical spaces...
November 22, 2023: Briefings in Bioinformatics
https://read.qxmd.com/read/37999629/mr-fingerprinting-for-contrast-agent-free-and-quantitative-characterization-of-focal-liver-lesions
#27
JOURNAL ARTICLE
Shohei Fujita, Katsuhiro Sano, Gastao Cruz, Carlos Velasco, Hideo Kawasaki, Yuki Fukumura, Masami Yoneyama, Akiyoshi Suzuki, Kotaro Yamamoto, Yuichi Morita, Takashi Arai, Issei Fukunaga, Wataru Uchida, Koji Kamagata, Osamu Abe, Ryohei Kuwatsuru, Akio Saiura, Kenichi Ikejima, René Botnar, Claudia Prieto, Shigeki Aoki
Purpose To evaluate the feasibility of liver MR fingerprinting (MRF) for quantitative characterization and diagnosis of focal liver lesions. Materials and Methods This single-site, prospective study included 89 participants (mean age, 62 years ± 15 [SD]; 45 women, 44 men) with various focal liver lesions who underwent MRI between October 2021 and August 2022. The participants underwent routine clinical MRI, non-contrast-enhanced liver MRF, and reference quantitative MRI with a 1.5-T MRI scanner. The bias and repeatability of the MRF measurements were assessed using linear regression, Bland-Altman plots, and coefficients of variation...
November 2023: Radiology. Imaging cancer
https://read.qxmd.com/read/37936887/brainstem-tumors-in-children-a-monocentric-series-in-the-light-of-genetic-and-bio-molecular-progress-in-pediatric-neuro-oncology
#28
JOURNAL ARTICLE
Rel Gerald Boukaka, Pierre-Aurélien Beuriat, Federico Di Rocco, Alexandre Vasiljevic, Alexandru Szathmari, Carmine Mottolese
INTRODUCTION: Brainstem tumors represent a challenge. Their management and prognosis vary according to anatomopathological findings and genetic and bio-molecular fingerprints. We present our experience with pediatric brainstem tumors. MATERIAL AND METHODS: All patients admitted for a brainstem tumor at the Pediatric Neurosurgical Unit at Hôpital Femme Mère Enfant hospital between January 1997 and December 2019 were considered. Patients data were obtained through a retrospective review of the medical records; follow-up was from the last outpatient consultation...
2023: Frontiers in Pediatrics
https://read.qxmd.com/read/37936313/dti-mr-fingerprinting-for-rapid-high-resolution-whole-brain-t-1-t-2-proton-density-adc-and-fractional-anisotropy-mapping
#29
JOURNAL ARTICLE
Xiaozhi Cao, Congyu Liao, Zihan Zhou, Zheng Zhong, Zhitao Li, Erpeng Dai, Siddharth Srinivasan Iyer, Ariel J Hannum, Mahmut Yurt, Sophie Schauman, Quan Chen, Nan Wang, Jintao Wei, Yifan Yan, Hongjian He, Stefan Skare, Jianhui Zhong, Adam Kerr, Kawin Setsompop
PURPOSE: This study aims to develop a high-efficiency and high-resolution 3D imaging approach for simultaneous mapping of multiple key tissue parameters for routine brain imaging, including T1 , T2 , proton density (PD), ADC, and fractional anisotropy (FA). The proposed method is intended for pushing routine clinical brain imaging from weighted imaging to quantitative imaging and can also be particularly useful for diffusion-relaxometry studies, which typically suffer from lengthy acquisition time...
November 7, 2023: Magnetic Resonance in Medicine
https://read.qxmd.com/read/37929695/deep-learning-assisted-preclinical-mr-fingerprinting-for-sub-millimeter-t-1-and-t-2-mapping-of-entire-macaque-brain
#30
JOURNAL ARTICLE
Yuning Gu, Yongsheng Pan, Zhenghan Fang, Lei Ma, Yuran Zhu, Charlie Androjna, Kai Zhong, Xin Yu, Dinggang Shen
PURPOSE: Preclinical MR fingerprinting (MRF) suffers from long acquisition time for organ-level coverage due to demanding image resolution and limited undersampling capacity. This study aims to develop a deep learning-assisted fast MRF framework for sub-millimeter T1 and T2 mapping of entire macaque brain on a preclinical 9.4 T MR system. METHODS: Three dimensional MRF images were reconstructed by singular value decomposition (SVD) compressed reconstruction...
November 6, 2023: Magnetic Resonance in Medicine
https://read.qxmd.com/read/37894707/barium-lanthanum-oxide-nanosheets-in-photocatalytic-and-forensic-applications-one-pot-synthesis-and-characterization
#31
JOURNAL ARTICLE
Sanjay S Majani, Meghana, Sowmyashree S H, Sowjanyashree J, Sahaja Umesh, Chandan Shivamallu, Muzaffar Iqbal, Raghavendra G Amachawadi, Venkatachalaiah K N, Shiva Prasad Kollur
The present work elucidates the fabrication of Barium Lanthanum Oxide nanosheets (BaLa2 O4 NSs) via a simple one-pot precipitation method. The acquired results show an orthorhombic crystal system with an average crystallite size of 27 nm. The morphological studies revealed irregular-shaped sheets stacked together in a layered structure, with the confirmation of the precursor elements. The diffused reflectance studies revealed a strong absorption between 200 nm and 350 nm, from which the band-gap energy was evaluated to be 4...
October 23, 2023: Molecules: a Journal of Synthetic Chemistry and Natural Product Chemistry
https://read.qxmd.com/read/37885320/repeatability-of-quantitative-knee-cartilage-t-1-t-2-and-t-1%C3%AF-mapping-with-3d-mri-fingerprinting
#32
JOURNAL ARTICLE
Xiaoxia Zhang, Hector L de Moura, Anmol Monga, Marcelo V W Zibetti, Richard Kijowski, Ravinder R Regatte
BACKGROUND: Three-dimensional MR fingerprinting (3D-MRF) techniques have been recently described for simultaneous multiparametric mapping of knee cartilage. However, investigation of repeatability remains limited. PURPOSE: To assess the intra-day and inter-day repeatabilities of knee cartilage T1 , T2 , and T1ρ maps using a 3D-MRF sequence for simultaneous measurement. STUDY TYPE: Prospective. SUBJECTS: Fourteen healthy subjects (35...
October 26, 2023: Journal of Magnetic Resonance Imaging: JMRI
https://read.qxmd.com/read/37867467/bi-component-dictionary-matching-for-mr-fingerprinting-for-efficient-quantification-of-fat-fraction-and-water-t-1-in-skeletal-muscle
#33
JOURNAL ARTICLE
Constantin Slioussarenko, Pierre-Yves Baudin, Harmen Reyngoudt, Benjamin Marty
PURPOSE: To propose an efficient bi-component MR fingerprinting (MRF) fitting method using a Variable Projection (VARPRO) strategy, applied to the quantification of fat fraction (FF) and water T1 ( <mml:math xmlns:mml="https://www.w3.org/1998/Math/MathML"> <mml:semantics><mml:mrow><mml:mi>T</mml:mi> <mml:msub><mml:mn>1</mml:mn> <mml:mrow><mml:msub><mml:mi>H</mml:mi> <mml:mn>2</mml:mn></mml:msub> <mml:mn>0</mml:mn></mml:mrow> </mml:msub> </mml:mrow> <mml:annotation>$$ \mathrm{T}{1}_{{\mathrm{H}}_20} $$</mml:annotation></mml:semantics> </mml:math> ) in skeletal muscle tissues...
October 23, 2023: Magnetic Resonance in Medicine
https://read.qxmd.com/read/37837891/white-matter-changes-measured-by-multi-component-mr-fingerprinting-in-multiple-sclerosis
#34
JOURNAL ARTICLE
Martijn A Nagtegaal, Ingo Hermann, Sebastian Weingärtner, Eloy Martinez-Heras, Elisabeth Solana, Sara Llufriu, Achim Gass, Dirk H J Poot, Matthias J P van Osch, Frans M Vos, Jeroen de Bresser
T2 -hyperintense lesions are the key imaging marker of multiple sclerosis (MS). Previous studies have shown that the white matter surrounding such lesions is often also affected by MS. Our aim was to develop a new method to visualize and quantify the extent of white matter tissue changes in MS based on relaxometry properties. We applied a fast, multi-parametric quantitative MRI approach and used a multi-component MR Fingerprinting (MC-MRF) analysis. We assessed the differences in the MRF component representing prolongedrelaxation time between patients with MS and controls and studied the relation between this component's volume and structural white matter damage identified on FLAIR MRI scans in patients with MS...
October 11, 2023: NeuroImage: Clinical
https://read.qxmd.com/read/37760114/emerging-trends-in-fast-mri-using-deep-learning-reconstruction-on-undersampled-k-space-data-a-systematic-review
#35
REVIEW
Dilbag Singh, Anmol Monga, Hector L de Moura, Xiaoxia Zhang, Marcelo V W Zibetti, Ravinder R Regatte
Magnetic Resonance Imaging (MRI) is an essential medical imaging modality that provides excellent soft-tissue contrast and high-resolution images of the human body, allowing us to understand detailed information on morphology, structural integrity, and physiologic processes. However, MRI exams usually require lengthy acquisition times. Methods such as parallel MRI and Compressive Sensing (CS) have significantly reduced the MRI acquisition time by acquiring less data through undersampling k-space. The state-of-the-art of fast MRI has recently been redefined by integrating Deep Learning (DL) models with these undersampled approaches...
August 26, 2023: Bioengineering
https://read.qxmd.com/read/37749847/simultaneous-perfusion-diffusion-t-2-and-t-1-mapping-with-mr-fingerprinting
#36
JOURNAL ARTICLE
Hongli Fan, Lisa Bunker, Zihan Wang, Alexandra Zezinka Durfee, Doris Lin, Vivek Yedavalli, Yulin Ge, Xiaohong Joe Zhou, Argye E Hillis, Hanzhang Lu
PURPOSE: Quantitative mapping of brain perfusion, diffusion, T2 *, and T1 has important applications in cerebrovascular diseases. At present, these sequences are performed separately. This study aims to develop a novel MRI technique to simultaneously estimate these parameters. METHODS: This sequence to measure perfusion, diffusion, T2 *, and T1 mapping with magnetic resonance fingerprinting (MRF) was based on a previously reported MRF-arterial spin labeling (ASL) sequence, but the acquisition module was modified to include different TEs and presence/absence of bipolar diffusion-weighting gradients...
September 25, 2023: Magnetic Resonance in Medicine
https://read.qxmd.com/read/37732574/-screening-and-obataining-of-aptamers-for-the-blood-group-antigen-binding-adhesin-baba-to-block-helicobacter-pylori-h-pylori-colonization-in-the-stomach-of-mice
#37
JOURNAL ARTICLE
Yuan Yuan, Weipeng Li, Xiaojing Zhou, Weili Sun, Xiaolei Tang
Objective To explore the aptamer specific binding blood group antigen-binding adhesin (BabA) of Helicobacter pylori (H.pylori) for blocking of H.pylori adhering host cell. Methods H.pylori strain was cultured and its genome was extracted as templates to amplify the BabA gene by PCR with designed primers. The BabA gene obtained was cloned and constructed into prokaryotic expression plasmid, which was induced by isopropyl beta-D-galactoside (IPTG) and purified as target. The single stranded DNA (ssDNA) aptamers that specifically bind to BabA were screened by SELEX...
September 2023: Xi Bao Yu Fen Zi Mian Yi Xue za Zhi, Chinese Journal of Cellular and Molecular Immunology
https://read.qxmd.com/read/37717382/quantitative-t1-mapping-detects-blood-brain-barrier-breakdown-in-apparently-non-enhancing-multiple-sclerosis-lesions
#38
JOURNAL ARTICLE
Graziella Donatelli, Paolo Cecchi, Gianmichele Migaleddu, Matteo Cencini, Paolo Frumento, Claudio D'Amelio, Luca Peretti, Guido Buonincontri, Livia Pasquali, Michela Tosetti, Mirco Cosottini, Mauro Costagli
OBJECTIVES: The disruption of the blood-brain barrier (BBB) is a key and early feature in the pathogenesis of demyelinating multiple sclerosis (MS) lesions and has been neuropathologically demonstrated in both active and chronic plaques. The local overt BBB disruption in acute demyelinating lesions is captured as signal hyperintensity in post-contrast T1-weighted images because of the contrast-related shortening of the T1 relaxation time. On the contrary, the subtle BBB disruption in chronic lesions is not visible at conventional radiological evaluation but it might be of clinical relevance...
September 12, 2023: NeuroImage: Clinical
https://read.qxmd.com/read/37714527/fast-high-resolution-electric-properties-tomography-using-three-dimensional-quantitative-transient-state-imaging-based-water-fraction-estimation
#39
JOURNAL ARTICLE
Matteo Cencini, Marta Lancione, Rosa Pasquariello, Luca Peretti, Carolin M Pirkl, Rolf F Schulte, Guido Buonincontri, Alessandro Arduino, Luca Zilberti, Laura Biagi, Michela Tosetti
In this study, we aimed to develop a fast and robust high-resolution technique for clinically feasible electrical properties tomography based on water content maps (wEPT) using Quantitative Transient-state Imaging (QTI), a multiparametric transient state-based method that is similar to MR fingerprinting. Compared with the original wEPT implementation based on standard spin-echo acquisition, QTI provides robust electrical properties quantification towards B1 + inhomogeneities and full quantitative relaxometry data...
September 15, 2023: NMR in Biomedicine
https://read.qxmd.com/read/37669779/fast-deep-learning-reconstruction-techniques-for-preclinical-magnetic-resonance-fingerprinting
#40
JOURNAL ARTICLE
Raffaella Fiamma Cabini, Leonardo Barzaghi, Davide Cicolari, Paolo Arosio, Stefano Carrazza, Silvia Figini, Marta Filibian, Andrea Gazzano, Rolf Krause, Manuel Mariani, Marco Peviani, Anna Pichiecchio, Diego Ulisse Pizzagalli, Alessandro Lascialfari
We propose a deep learning (DL) model and a hyperparameter optimization strategy to reconstruct T1 and T2 maps acquired with the magnetic resonance fingerprinting (MRF) methodology. We applied two different MRF sequence routines to acquire images of ex vivo rat brain phantoms using a 7-T preclinical scanner. Subsequently, the DL model was trained using experimental data, completely excluding the use of any theoretical MRI signal simulator. The best combination of the DL parameters was implemented by an automatic hyperparameter optimization strategy, whose key aspect is to include all the parameters to the fit, allowing the simultaneous optimization of the neural network architecture, the structure of the DL model, and the supervised learning algorithm...
September 5, 2023: NMR in Biomedicine
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