Paddy J. Slator
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View article: Low field combined diffusion-relaxation MRI for mapping placenta structure and function
Low field combined diffusion-relaxation MRI for mapping placenta structure and function Open
View article: Hierarchical Bayesian Modelling Improves Microstructural Parameter Mapping in Diffusion and Exchange MRI Data
Hierarchical Bayesian Modelling Improves Microstructural Parameter Mapping in Diffusion and Exchange MRI Data Open
Microstructure modelling quantifies subvoxel tissue features by combining an MRI acquisition with a mathematical model, which is typically fitted voxel-by-voxel with least-squares (LSQ) minimisation to give voxelwise maps of microstructura…
View article: Detection of periodontal bone loss and periodontitis from 2D dental radiographs via machine learning and deep learning: systematic review employing APPRAISE-AI and meta-analysis
Detection of periodontal bone loss and periodontitis from 2D dental radiographs via machine learning and deep learning: systematic review employing APPRAISE-AI and meta-analysis Open
Objectives Periodontitis is a serious periodontal infection that damages the soft tissues and bone around teeth and is linked to systemic conditions. Accurate diagnosis and staging, complemented by radiographic evaluation, are vital. This …
View article: MRI Parameter Mapping via Gaussian Mixture VAE: Breaking the Assumption of Independent Pixels
MRI Parameter Mapping via Gaussian Mixture VAE: Breaking the Assumption of Independent Pixels Open
We introduce and demonstrate a new paradigm for quantitative parameter mapping in MRI. Parameter mapping techniques, such as diffusion MRI and quantitative MRI, have the potential to robustly and repeatably measure biologically-relevant ti…
View article: A flexible generative algorithm for growing in silico placentas
A flexible generative algorithm for growing in silico placentas Open
The placenta is crucial for a successful pregnancy, facilitating oxygen exchange and nutrient transport between mother and fetus. Complications like fetal growth restriction and pre-eclampsia are linked to placental vascular structure abno…
View article: Placental multimodal <scp>MRI</scp> prior to spontaneous preterm birth <32 weeks' gestation: An observational study
Placental multimodal <span>MRI</span> prior to spontaneous preterm birth <32 weeks' gestation: An observational study Open
Objective To utilise combined diffusion‐relaxation MRI techniques to interrogate antenatal changes in the placenta prior to extreme preterm birth among both women with PPROM and membranes intact, and compare this to a control group who sub…
View article: ssVERDICT: Self‐supervised VERDICT‐MRI for enhanced prostate tumor characterization
ssVERDICT: Self‐supervised VERDICT‐MRI for enhanced prostate tumor characterization Open
Purpose Demonstrating and assessing self‐supervised machine‐learning fitting of the VERDICT (vascular, extracellular and restricted diffusion for cytometry in tumors) model for prostate cancer. Methods We derive a self‐supervised neural ne…
View article: Advanced magnetic resonance imaging detects altered placental development in pregnancies affected by congenital heart disease
Advanced magnetic resonance imaging detects altered placental development in pregnancies affected by congenital heart disease Open
Congenital heart disease (CHD) is the most common congenital malformation and is associated with adverse neurodevelopmental outcomes. The placenta is crucial for healthy fetal development and placental development is altered in pregnancy w…
View article: Advanced magnetic resonance imaging detects altered placental development in pregnancies affected by congenital heart disease
Advanced magnetic resonance imaging detects altered placental development in pregnancies affected by congenital heart disease Open
Congenital heart disease (CHD) is the most common congenital malformation and is associated with adverse neurodevelopmental outcomes. The placenta is crucial for healthy fetal development and placental development is altered in pregnancy w…
View article: Non-invasive mapping of human placenta microenvironments throughout pregnancy with diffusion-relaxation MRI
Non-invasive mapping of human placenta microenvironments throughout pregnancy with diffusion-relaxation MRI Open
By demonstrating direct observation of micro-scale placental structure and function, and revealing clear trends across pregnancy, our work contributes towards the development of robust imaging biomarkers for pregnancy complications and the…
View article: ssVERDICT: Self-Supervised VERDICT-MRI for Enhanced Prostate Tumour Characterisation
ssVERDICT: Self-Supervised VERDICT-MRI for Enhanced Prostate Tumour Characterisation Open
Purpose: Demonstrating and assessing self-supervised machine learning fitting of the VERDICT (Vascular, Extracellular and Restricted DIffusion for Cytometry in Tumours) model for prostate. Methods: We derive a self-supervised neural networ…
View article: Low-Field Combined Diffusion-Relaxation MRI for Mapping Placenta Structure and Function
Low-Field Combined Diffusion-Relaxation MRI for Mapping Placenta Structure and Function Open
Purpose Demonstrating quantitative multi-parametric mapping in the placenta with combined T2*-diffusion MRI at low-field (0.55T). Methods We present 57 placental MRI scans performed on a commercially available 0.55T scanner. We acquired th…
View article: Assessing within‐subject rates of change of placental MRI diffusion metrics in normal pregnancy
Assessing within‐subject rates of change of placental MRI diffusion metrics in normal pregnancy Open
Purpose Studying placental development informs when development is abnormal. Most placental MRI studies are cross‐sectional and do not study the extent of individual variability throughout pregnancy. We aimed to explore how diffusion MRI m…
View article: Validation of deep learning techniques for quality augmentation in diffusion MRI for clinical studies
Validation of deep learning techniques for quality augmentation in diffusion MRI for clinical studies Open
The objective of this study is to evaluate the efficacy of deep learning (DL) techniques in improving the quality of diffusion MRI (dMRI) data in clinical applications. The study aims to determine whether the use of artificial intelligence…
View article: Validation of Deep Learning Techniques for Quality Augmentation in Diffusion MRI for Clinical Studies
Validation of Deep Learning Techniques for Quality Augmentation in Diffusion MRI for Clinical Studies Open
View article: Multi‐modal <scp>MRI</scp> reveals changes in placental function following preterm premature rupture of membranes
Multi‐modal <span>MRI</span> reveals changes in placental function following preterm premature rupture of membranes Open
Purpose Preterm premature rupture of membranes complicates up to 40% of premature deliveries. Fetal infection may occur in the absence of maternal symptoms, delaying diagnosis and increasing morbidity and mortality. A noninvasive antenatal…
View article: Experimental Design for Multi-Channel Imaging via Task-Driven Feature Selection
Experimental Design for Multi-Channel Imaging via Task-Driven Feature Selection Open
This paper presents a data-driven, task-specific paradigm for experimental design, to shorten acquisition time, reduce costs, and accelerate the deployment of imaging devices. Current approaches in experimental design focus on model-parame…
View article: Fitting a Directional Microstructure Model to Diffusion-Relaxation MRI Data with Self-Supervised Machine Learning
Fitting a Directional Microstructure Model to Diffusion-Relaxation MRI Data with Self-Supervised Machine Learning Open
Machine learning is a powerful approach for fitting microstructural models to diffusion MRI data. Early machine learning microstructure imaging implementations trained regressors to estimate model parameters in a supervised way, using synt…
View article: Differentiating False Positive Lesions from Clinically Significant Cancer and Normal Prostate Tissue Using VERDICT MRI and Other Diffusion Models
Differentiating False Positive Lesions from Clinically Significant Cancer and Normal Prostate Tissue Using VERDICT MRI and Other Diffusion Models Open
False positives on multiparametric MRIs (mp-MRIs) result in many unnecessary invasive biopsies in men with clinically insignificant diseases. This study investigated whether quantitative diffusion MRI could differentiate between false posi…
View article: Differentiating False Positive Lesions from Clinically Significant Cancer and Normal Prostate Tissue using VERDICT MRI and Other Diffusion Models
Differentiating False Positive Lesions from Clinically Significant Cancer and Normal Prostate Tissue using VERDICT MRI and Other Diffusion Models Open
False positives on multiparametric (mp)-MRI result in a large number of unnecessary biopsies in men with clinically insignificant diseases. This study investigates whether quantitative diffusion MRI can improve differentiation between fals…
View article: Combined diffusion‐relaxometry microstructure imaging: Current status and future prospects
Combined diffusion‐relaxometry microstructure imaging: Current status and future prospects Open
Microstructure imaging seeks to noninvasively measure and map microscopic tissue features by pairing mathematical modeling with tailored MRI protocols. This article reviews an emerging paradigm that has the potential to provide a more deta…
View article: An efficient and combined placental ‐ADC acquisition in pregnancies with and without pre‐eclampsia
An efficient and combined placental ‐ADC acquisition in pregnancies with and without pre‐eclampsia Open
Purpose To provide a new approach to jointly assess microstructural and molecular properties of the human placenta in vivo fast and efficiently and to present initial evidence in cohorts of healthy pregnancies and those affected by pre‐ecl…
View article: Data-Driven multi-Contrast spectral microstructure imaging with InSpect: INtegrated SPECTral component estimation and mapping
Data-Driven multi-Contrast spectral microstructure imaging with InSpect: INtegrated SPECTral component estimation and mapping Open
We introduce and demonstrate an unsupervised machine learning technique for spectroscopic analysis of quantitative MRI experiments. Our algorithm supports estimation of one-dimensional spectra from single-contrast data, and multidimensiona…
View article: Anisotropy in the Human Placenta in Pregnancies Complicated by Fetal Growth Restriction
Anisotropy in the Human Placenta in Pregnancies Complicated by Fetal Growth Restriction Open
The placenta has a unique structure, which enables the transfer of oxygen and nutrients from the mother to the developing fetus. Abnormalities in placental structure are associated with major complications of pregnancy; for instance, chang…
View article: Placental magnetic resonance imaging in chronic hypertension: A case-control study
Placental magnetic resonance imaging in chronic hypertension: A case-control study Open
View article: Acquiring and Predicting Multidimensional Diffusion (MUDI) Data: An Open Challenge
Acquiring and Predicting Multidimensional Diffusion (MUDI) Data: An Open Challenge Open
View article: In Utero Diffusion MRI
In Utero Diffusion MRI Open
In utero diffusion magnetic resonance imaging (MRI) provides unique opportunities to noninvasively study the microstructure of tissue during fetal development. A wide range of developmental processes, such as the growth of white matter tra…
View article: Respiration resolved imaging with continuous stable state 2D acquisition using linear frequency SWEEP
Respiration resolved imaging with continuous stable state 2D acquisition using linear frequency SWEEP Open
Purpose To investigate the potential of continuous radiofrequency (RF) shifting (SWEEP) as a technique for creating densely sampled data while maintaining a stable signal state for dynamic imaging. Methods We present a method where a conti…
View article: In utero diffusion MRI: challenges, advances, and applications
In utero diffusion MRI: challenges, advances, and applications Open
In utero diffusion MRI provides unique opportunities to non-invasively study the microstructure of tissue during fetal development. A wide range of developmental processes, such as the growth of white matter tracts in the brain, the matura…
View article: Combined diffusion‐relaxometry MRI to identify dysfunction in the human placenta
Combined diffusion‐relaxometry MRI to identify dysfunction in the human placenta Open
Purpose A combined diffusion‐relaxometry MR acquisition and analysis pipeline for in vivo human placenta, which allows for exploration of coupling between and apparent diffusion coefficient (ADC) measurements in a sub 10‐minute scan time. …