Arterial spin labelling perfusion MRI: enhanced processing and automated quality control

QR Code

Arterial spin labelling perfusion MRI: enhanced processing and automated quality control

Bibliographic Details
Main Author:	Hu, Jian
Format:	Thesis (University of Nottingham only)
Language:	English
Published:	2025
Subjects:	arterial spin labelling quality control deep learning
Online Access:	https://eprints.nottingham.ac.uk/80717/

Similar Items

Clinical applications of perfusion-weighted magnetic resonance imaging in neurological disorders
by: Falah, Yasser
Published: (2019)

Development of MRI techniques for the assessment of chronic kidney disease
by: Buchanan, Charlotte E.
Published: (2016)

Multiparametric renal magnetic resonance imaging: validation, interventions, and alterations in chronic kidney disease
by: Cox, Eleanor F., et al.
Published: (2017)

Understanding haemodynamics in neurodegenerative disease
by: Dury, R.J.
Published: (2018)

Multi organ assessment of compensated cirrhosis patients using quantitative magnetic resonance imaging
by: Bradley, Christopher R., et al.
Published: (2018)

Ultra-high-field arterial spin labeling MRI for non-contrast assessment of cortical lesion perfusion in multiple sclerosis
by: Drury, Richard J., et al.
Published: (2018)

Non-equilibrium dynamics in quantum and classical many-body spin systems: strong zero modes and large deviations
by: Vasiloiu, Loredana Mihaela
Published: (2020)

Tuning the interactions between electron spins in fullerene-based triad systems
by: Lebedeva, Maria A., et al.
Published: (2014)

The strain manipulation of nickel and permalloy spin valves
by: Al-Qayoudhi, Mohammed Salim
Published: (2020)

Molecular properties in the Tamm–Dancoff approximation: indirect nuclear spin–spin coupling constants
by: Cheng, Chi Y., et al.
Published: (2015)

Effects of food labels on consumers purchasing behavior in Malaysia
by: Abdul Latiff, Zul Ariff
Published: (2013)

Studies of spin-orbit coupling phenomena in magnetic semiconductors
by: Howells, Bryn
Published: (2015)

Evaluation Of Pseudocontinuous Arterial Spin Labeling Technique In 1.5 T Mri: A Phantom Study
by: Yusoff, Norain Liyana
Published: (2015)

New MRI contrast agents through spin exchange optical pumping of noble gases with a nuclear electric quadrupole moment
by: Six, Joseph
Published: (2014)

Spin asymmetries for electron-thallium scattering calculated with the relativistic convergentclose-coupling method
by: Bostock, Christopher, et al.
Published: (2014)

Photoaffinity labeling of plasma proteins
by: Chuang, Victor, et al.
Published: (2013)

Deep Learning Using Tiny Domain-Specific Datasets with Sparse Labels
by: Smith, Thomas J
Published: (2021)

Achieving transparency in carbon labelling for construction materials – lessons from current assessment standards and carbon labels
by: Wu, Peng, et al.
Published: (2014)

Consumer testing of the acceptability and effectiveness of front-of-pack food labelling systems for the Australian grocery market
by: Kelly, B., et al.
Published: (2009)

Effective spin physics in two-dimensional cavity QED arrays
by: Minář, Jiří, et al.
Published: (2017)

Automated processing pipeline for neonatal diffusion MRI in the developing Human Connectome Project
by: Bastiani, Matteo, et al.
Published: (2018)

Coronary computed tomography angiography in coronary artery disease: a systematic review of image quality, diagnostic value and radiation dose.
by: Sun, Zhonghua
Published: (2013)

Spin Dynamics of Polarised Fermi-liquid 3He
by: Nyman, Robert Andrew
Published: (2003)

Qualitative Analysis of the UK University Spin-Out Company Formation and Early Development Process
by: Igata, Eishi
Published: (2005)

An investigation of deep learning for image processing applications
by: Hou, Xianxu
Published: (2018)

Field-cycling NMR investigations of nuclear spin relaxation and proton tunnelling
by: wu, weimin
Published: (2006)

The impact of elevated pulmonary artery pressure on exercise responses
by: Fowler, Robin
Published: (2012)

Physiological underpinnings of healthy brain ageing
by: Watt, Jodi K.
Published: (2022)

Multislice CT angiography assessment of left coronary artery: Correlation between bifurcation angle, dimensions and development of coronary artery disease
by: Sun, Zhonghua, et al.
Published: (2011)

Deep learning approach with image noise reduction to determine planting density and defected paddy seedlings
by: Mohamed Anuar, Mohamed Marzhar
Published: (2022)

Structure of ancient glass by 29Si magic angle spinning NMR
by: Bradford, Henry, et al.
Published: (2018)

Spin polarization of carriers in InGaAs self-assembled quantum rings inserted in GaAs-AlGaAs resonant tunneling devices
by: Gordo, V. Orsi, et al.
Published: (2017)

Self-labeling techniques for semi-supervised time series classification: an empirical study
by: González, Mabel, et al.
Published: (2017)

Deep tissue analysis: advancing optical techniques with interpretable deep learning and aberration correction
by: Kok, Yong En
Published: (2025)

Towards uncertainty-aware and label-efficient machine learning of human expressive behaviour
by: Tellamekala, Mani Kumar
Published: (2022)

Interaction of gene polymorphisms in the risk of coronary artery disease and random amplified polymorphic DNA analysis of coronary artery disease
by: Chu, Wern Cui
Published: (2015)

Synthesis, crystal structures and magnetic properties of composites incorporating an Fe(II) spin crossover complex and polyoxometalates
by: Kuramochi, Satoshi, et al.
Published: (2017)

Optimal scanning protocols of 64-slice CT angiography in coronary artery stents: An in vitro phantom study
by: Almutairi, A., et al.
Published: (2009)

Improving performance of automated coronary arterial tree center-line extraction, stent localization and tracking
by: Boroujeni, Farsad Zamani
Published: (2012)

Development of convenient quality control analysis method and improvement on the radiochemical yield using F-18-Labelled choline
by: Hassan, Muhammad Hishar
Published: (2016)