John C. Waterton

ORCID: 0000-0002-7734-2290
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Research Areas
  • Advanced MRI Techniques and Applications
  • MRI in cancer diagnosis
  • Radiomics and Machine Learning in Medical Imaging
  • Medical Imaging Techniques and Applications
  • Osteoarthritis Treatment and Mechanisms
  • Atomic and Subatomic Physics Research
  • Advanced Neuroimaging Techniques and Applications
  • Cancer, Hypoxia, and Metabolism
  • Lower Extremity Biomechanics and Pathologies
  • Lanthanide and Transition Metal Complexes
  • Ultrasound and Hyperthermia Applications
  • Advanced NMR Techniques and Applications
  • Glioma Diagnosis and Treatment
  • Rheumatoid Arthritis Research and Therapies
  • Electron Spin Resonance Studies
  • NMR spectroscopy and applications
  • Total Knee Arthroplasty Outcomes
  • Cardiac Imaging and Diagnostics
  • Musculoskeletal synovial abnormalities and treatments
  • Elasticity and Material Modeling
  • Molecular spectroscopy and chirality
  • Liver Disease Diagnosis and Treatment
  • Ultrasound Imaging and Elastography
  • Cerebrovascular and Carotid Artery Diseases
  • Systemic Lupus Erythematosus Research

Absynth Biologics (United Kingdom)
2017-2024

University of Manchester
2015-2024

Manchester Academic Health Science Centre
2013-2023

AstraZeneca (United Kingdom)
2008-2017

Engineering and Physical Sciences Research Council
2014-2016

Cancer Research UK
2003-2016

Institute of Cancer Research
2016

University College London
2016

Medical Research Council
2016

AstraZeneca (Brazil)
1993-2014

We describe a method for automatically building statistical shape models from training set of example boundaries/surfaces. These show considerable promise as basis segmenting and interpreting images. One the drawbacks approach is, however, need to establish dense correspondences between all members shapes. Often this is achieved by locating "landmarks" manually on each image, which time consuming subjective in two dimensions almost impossible three dimensions. how can be built posing...

10.1109/tmi.2002.1009388 article EN IEEE Transactions on Medical Imaging 2002-05-01

Vascular and angiogenic processes provide an important target for novel cancer therapeutics. Dynamic contrast-enhanced magnetic resonance imaging is being used increasingly to noninvasively monitor the action of these therapeutics in early-stage clinical trials. This publication reports outcome a workshop that considered methodology design studies, recommending how this new tool might best be used.

10.1038/sj.bjc.6602550 article EN cc-by-nc-sa British Journal of Cancer 2005-05-01

There is a clinical need for noninvasive biomarkers of tumor hypoxia prognostic and predictive studies, radiotherapy planning, therapy monitoring. Oxygen-enhanced MRI (OE-MRI) an emerging imaging technique quantifying the spatial distribution extent oxygen delivery in vivo. In OE-MRI, longitudinal relaxation rate protons (ΔR1) changes proportion to concentration molecular dissolved plasma or interstitial tissue fluid. Therefore, well-oxygenated tissues show positive ΔR1. We hypothesized that...

10.1158/0008-5472.can-15-2062 article EN Cancer Research 2015-12-10

Malignant tumors are typically associated with altered rigidity relative to normal host tissue. Magnetic resonance elastography (MRE) enables the noninvasive quantitation of mechanical properties deep-seated tissue following application an external vibrational stress that In this preclinical study, we used MRE quantify (kPa) elasticity modulus Gd and viscosity Gl three intracranially implanted glioma breast metastatic tumor models. all these brain tumors, found a notable softness...

10.1158/0008-5472.can-14-1997 article EN Cancer Research 2015-02-12

We describe a new method to allow simultaneous mapping of endothelial permeability and blood volume in intracranial lesions. The technique is based on tumor leakage profile during the first pass (fp) contrast bolus calculated from time-dependent plasma-contrast concentration function (PCCF) three-dimensional (3D) T1-weighted dynamic studies. performance has been evaluated by comparing results with those obtained more conventional methods patients primary brain neoplasms. maps (kfp) are...

10.1002/1522-2586(200008)12:2<347::aid-jmri19>3.0.co;2-7 article EN Journal of Magnetic Resonance Imaging 2000-01-01

Abstract Purpose: ZD6126 is a novel vascular targeting agent currently undergoing clinical evaluation. It acts by destabilizing the microtubulin of fragile and proliferating neoendothelial cells in tumors. The drug leads to blood vessel congestion, selective destruction vasculature, extensive necrosis experimental aim study reported here was assess ability dynamic contrast enhanced magnetic resonance imaging (MRI) measure antivascular effects Experimental Design: work carried out mice...

10.1158/1078-0432.ccr-03-0417 article EN Clinical Cancer Research 2004-06-01

Abstract Purpose To evaluate and compare the reproducibility of preferred phenomenological parameter IAUC 60 (initial area under time‐concentration curve [IAUC] defined over first seconds postenhancement) with modeling ( K trans ), as derived using two simple models, in abdominal cerebral data collected typical Phase I clinical trial conditions. Materials Methods Dynamic contrast enhanced MRI (DCE‐MRI) time series were acquired at imaging centers from a group patients tumors gliomas. At both...

10.1002/jmri.20529 article EN Journal of Magnetic Resonance Imaging 2006-02-27

This study describes a method for imaging brain tumors that combines T1-weighted (T1W) and T2*-weighted (T2*W) dynamic contrast-enhanced acquisitions. Several technical improvements have been made to produce high-quality three-dimensional mapping of endothelial permeability surface area product (k) leakage space (vl), based on T1W data. Tumor blood volume maps are obtained from T2*W images with complete removal residual relaxivity effects. The was employed in 15 patients (5 gliomas, 5...

10.1002/1522-2586(200006)11:6<575::aid-jmri2>3.0.co;2-1 article EN Journal of Magnetic Resonance Imaging 2000-01-01

Previously reported studied to quantify articular cartilage have used labor-intensive manual or semi-automatic data-driven techniques, demonstrating high accuracy and precision. However, none has been able automate the segmentation process. This paper describes a fast, automatic, model-based approach thickness measurement of femoral in 3D T1-weighted images using active shape models (ASMs). Systematic experiments were performed assess precision technique with vivo both normal abnormal knees....

10.1002/mrm.1910370620 article EN Magnetic Resonance in Medicine 1997-06-01

We have investigated the reproducibility of dynamic contrast enhanced imaging techniques in nine patients with cerebral glioma. Patients were imaged twice a 2 day interval between scans. Maps produced time taken to achieve 90% enhancement (T90), maximal intensity change per ratio (MITR), volume transfer coefficient plasma and extravascular extracellular space (K(trans)) distribution volume, v(e). Measurements K(trans) greater than 1.2 min(-1) used exclude pixels where first pass perfusion...

10.1259/bjr/70653746 article EN British Journal of Radiology 2003-03-01

Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI), using gadopentetate dimeglumine, was used to monitor acute effects on tumour vascular permeability following inhibition of endothelial growth factor-A (VEGF-A) signal transduction. Mice bearing PC-3 human prostate adenocarcinoma xenografts were treated with ZD6474, a VEGF receptor-2 (KDR) tyrosine kinase inhibitor. The pharmacokinetic parameter Ktrans obtained, which reflects and perfusion. imaged immediately before, following,...

10.1038/sj.bjc.6601386 article EN cc-by-nc-sa British Journal of Cancer 2003-11-01
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