Cargando…

LARO: Learned acquisition and reconstruction optimization to accelerate quantitative susceptibility mapping

Quantitative susceptibility mapping (QSM) involves acquisition and reconstruction of a series of images at multi-echo time points to estimate tissue field, which prolongs scan time and requires specific reconstruction technique. In this paper, we present our new framework, called Learned Acquisition...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zhang, Jinwei, Spincemaille, Pascal, Zhang, Hang, Nguyen, Thanh D., Li, Chao, Li, Jiahao, Kovanlikaya, Ilhami, Sabuncu, Mert R., Wang, Yi
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10021353/ https://www.ncbi.nlm.nih.gov/pubmed/36669747 http://dx.doi.org/10.1016/j.neuroimage.2023.119886

Ejemplares similares

Spatially Adaptive Regularization in Total Field Inversion for Quantitative Susceptibility Mapping
por: Balasubramanian, Priya S., et al.
Publicado: (2020)

Psychological Aspect of the Laros Case, on the Trial of Allen C. Laros, at Easton, Pennsylvania, U.S.A., for the Murder of His Father, Martin Laros, by Poison, the Defence Being Based upon the Allegation of Epileptic Insanity
por: Mann, Edward C.
Publicado: (1880)

QSMRim-Net: Imbalance-aware learning for identification of chronic active multiple sclerosis lesions on quantitative susceptibility maps
por: Zhang, Hang, et al.
Publicado: (2022)

The Laro Kwo Project: A train the trainer model combined with mobile health technology for community health workers in Northern Uganda
por: Ebbs, Daniel, et al.
Publicado: (2023)

Cranial MRI findings in acute disseminated encephalomyelitis
por: Dirik, Eray, et al.
Publicado: (1994)

ALL-Net: Anatomical information lesion-wise loss function integrated into neural network for multiple sclerosis lesion segmentation
por: Zhang, Hang, et al.
Publicado: (2021)

Quantitative transport mapping (QTM) of the kidney with an approximate microvascular network
por: Zhou, Liangdong, et al.
Publicado: (2020)

Validation of MRI quantitative susceptibility mapping of superparamagnetic iron oxide nanoparticles for hyperthermia applications in live subjects
por: Deh, Kofi, et al.
Publicado: (2020)

Comparison of reconstruction and acquisition choices for quantitative T2* maps and synthetic contrasts
por: Ruuth, Riikka, et al.
Publicado: (2018)

A Pilot Study of Quantitative MRI Measurements of Ventricular Volume and Cortical Atrophy for the Differential Diagnosis of Normal Pressure Hydrocephalus
por: Moore, Dana W., et al.
Publicado: (2012)

Increased risk for cerebral small vessel disease is associated with quantitative susceptibility mapping in HIV infected and uninfected individuals
por: Murray, Kyle D., et al.
Publicado: (2021)

Free breathing three-dimensional cardiac quantitative susceptibility mapping for differential cardiac chamber blood oxygenation – initial validation in patients with cardiovascular disease inclusive of direct comparison to invasive catheterization
por: Wen, Yan, et al.
Publicado: (2019)

Initial Experience of Challenge-Free MRI-Based Oxygen Extraction Fraction Mapping of Ischemic Stroke at Various Stages: Comparison With Perfusion and Diffusion Mapping
por: Zhang, Shun, et al.
Publicado: (2020)

Quantitative susceptibility mapping using multi-channel convolutional neural networks with dipole-adaptive multi-frequency inputs
por: Si, Wenbin, et al.
Publicado: (2023)

Recommended Implementation of Quantitative Susceptibility Mapping for Clinical Research in The Brain: A Consensus of the ISMRM Electro-Magnetic Tissue Properties Study Group
por: Bilgic, Berkin, et al.
Publicado: (2023)

Magnetic Resonance Spectroscopy, Positron Emission Tomography and Radiogenomics—Relevance to Glioma
por: Chiang, Gloria C., et al.
Publicado: (2018)

Are quantitative features of lung nodules reproducible at different CT acquisition and reconstruction parameters?
por: Erdal, Barbaros S., et al.
Publicado: (2020)

How Accurate Is MOLLI T1 Mapping In Vivo? Validation by Spin Echo Methods
por: Cooper, Mitchell A., et al.
Publicado: (2014)

Morphology-adaptive total variation for the reconstruction of quantitative susceptibility map from the magnetic resonance imaging phase
por: Guo, Li, et al.
Publicado: (2018)

Machine learning and medical imaging
por: Wu, Guorong, et al.
Publicado: (2016)

Prediction of Lung Shunt Fraction for Yttrium-90 Treatment of Hepatic Tumors Using Dynamic Contrast Enhanced MRI with Quantitative Perfusion Processing
por: Zhang, Qihao, et al.
Publicado: (2022)

Evaluation of multi-channel phase reconstruction methods for quantitative susceptibility mapping on postmortem human brain
por: Otsuka, Fábio Seiji, et al.
Publicado: (2023)

Imaging the Centromedian Thalamic Nucleus Using Quantitative Susceptibility Mapping
por: Li, Jun, et al.
Publicado: (2020)

MRI assessment of the effects of acetazolamide and external lumbar drainage in idiopathic Normal Pressure Hydrocephalus
por: Ivkovic, Milos, et al.
Publicado: (2015)

Iron deposition in Parkinson’s disease by quantitative susceptibility mapping
por: Chen, Qiqi, et al.
Publicado: (2019)

Quantitative Susceptibility Mapping in Parkinson's Disease
por: Langkammer, Christian, et al.
Publicado: (2016)

Quantitative susceptibility mapping in atypical Parkinsonisms
por: Mazzucchi, Sonia, et al.
Publicado: (2019)

Editorial: Quantitative Susceptibility Mapping in Neurodegeneration
por: Yan, Fuhua, et al.
Publicado: (2021)

Personalized visual encoding model construction with small data
por: Gu, Zijin, et al.
Publicado: (2022)

Disease correlates of rim lesions on quantitative susceptibility mapping in multiple sclerosis
por: Marcille, Melanie, et al.
Publicado: (2022)

Quantitative Evaluation of Oxygen Extraction Fraction Changes in the Monkey Brain during Acute Stroke by Using Quantitative Susceptibility Mapping
por: Meng, Yuguang, et al.
Publicado: (2023)

Sub‐voxel quantitative susceptibility mapping for assessing whole‐brain magnetic susceptibility from ages 4 to 80
por: Lao, Guoyan, et al.
Publicado: (2023)

Editorial: Quantitative susceptibility mapping: technical advances and clinical applications
por: Wei, Hongjiang, et al.
Publicado: (2023)

Machine learning based multi-modal prediction of future decline toward Alzheimer’s disease: An empirical study
por: Karaman, Batuhan K., et al.
Publicado: (2022)

Modulating human brain responses via optimal natural image selection and synthetic image generation
por: Gu, Zijin, et al.
Publicado: (2023)

Human brain responses are modulated when exposed to optimized natural images or synthetically generated images
por: Gu, Zijin, et al.
Publicado: (2023)

Diagnostic accuracy of semiautomatic lesion detection plus quantitative susceptibility mapping in the identification of new and enhancing multiple sclerosis lesions
por: Zhang, Shun, et al.
Publicado: (2018)

Quantitative susceptibility mapping and blood neurofilament light chain differentiate between parkinsonian disorders
por: Zhang, Piao, et al.
Publicado: (2022)

Improved Acquisition and Reconstruction for Wavelength-Resolved Neutron Tomography †
por: Venkatakrishnan, Singanallur, et al.
Publicado: (2021)

Structure Prior Effects in Bayesian Approaches of Quantitative Susceptibility Mapping
por: Wang, Shuai, et al.
Publicado: (2016)

Cannot write session to /tmp/vufind_sessions/sess_rdq7n9k7dsmvhtcg5mo4tdeqsb