Personal tools

Publications

QuBIc group publications

Recent

Ray, K. J., Larkin, J. R., Tee, Y. K., Khrapitchev, A. A., Karunanithy, G., Barber, M., Baldwin, A. J, Chappell, M. A., & Sibson, N. R.
Determination of an optimally sensitive and specific Chemical Exchange Saturation Transfer MRI quantification metric in relevant biological phantoms.
NMR in Biomedicine.

Kallehauge, J. F., Sourbron, S., Irving, B., Tanderup, K., Schnabel, J. A., & Chappell, M. A.
Comparison of Linear and Non-Linear Implementation of the Compartmental Tissue Uptake Model for Dynamic Contrast-Enhanced Magnetic Resonance Imaging.
Magnetic Resonance in Medicine.

Keith, G. A., Rodgers, C. T., Chappell, M. A., & Robson, M. D.
A Look-Locker Acquisition Scheme for Quantitative Myocardial Perfusion Imaging with FAIR Arterial Spin Labelling in Humans at 3 T.
Magnetic Resonance in Medicine.

Okell, T. W., Schmitt, P., Bi, X., Chappell, M. A., Tijssen, R. H. N., Sheerin, F., Miller, K. L., & Jezzard, P.
Optimization of 4D vessel-selective arterial spin labeling angiography using balanced steady-state free precession and vessel-encoding.
NMR in Biomedicine. doi.org/10.1002/nbm.3515

 

Frost, R., Hess, A. T., Okell, T. W., Chappell, M. A., Tisdall, M. D., van der Kouwe, A. J. W., & Jezzard, P.
Prospective motion correction and selective reacquisition using volumetric navigators for vessel‐encoded arterial spin labeling dynamic angiography.
Magnetic Resonance in Medicine, doi:10.1002/mrm.26040

 

Chaddock-Heyman, L., Erickson, K. I., Chappell, M. A., Kienzler, C., Johnson, C. L., Knecht, A., Drollette, E. S., Raine, L. B., Scudder, M. R., Kao, S-C., Hillman, C. H., Kramer, A. F.,
Aerobic fitness is associated with greater hippocampal cerebral blood flow in children.
Developmental Cognitive Neuroscience.

 

2015

Harston, G. W. J., Tee, Y. K., Blockley, N., Okell, T. W., Thandeswaran, S., Shaya, G., Sheerin, F.,Cellerini, M., Payne,S.J., Jezzard, P., Chappell, M.A., Kennedy, J.
Identifying the ischaemic penumbra using pH-weighted magnetic resonance imaging.
Brain, 138(Pt 1), 36–42. doi:10.1093/brain/awu374

 

Mersov, A. M., Crane, D. E., Chappell, M. A., Black, S. E., & MacIntosh, B. J.
Estimating the sample size required to detect an arterial spin labelling magnetic resonance imaging perfusion abnormality in voxel-wise group analyses.
Journal of Neuroscience Methods, 245, 169–177. doi:10.1016/j.jneumeth.2015.02.017

 

Shirzadi, Z., Crane, D. E., Robertson, A. D., Maralani, P. J., Aviv, R. I., Chappell, M. A., Goldstein, B.I., Black, S.E., MacIntosh, B.J.
Automated removal of spurious intermediate cerebral blood flow volumes improves image quality among older patients: A clinical arterial spin labeling investigation.
Journal of Magnetic Resonance Imaging, 42(5), 1377–1385. doi:10.1002/jmri.24918

 

Boscolo Galazzo, I., Storti, S. F., Del Felice, A., Pizzini, F. B., Arcaro, C., Formaggio, E., Mai, R., Chappell, M.A., Beltramello, A., Manganotti, P.
Patient-specific detection of cerebral blood flow alterations as assessed by arterial spin labeling in drug-resistant epileptic patients.
PLoS ONE, 10(5), e0123975. doi:10.1371/journal.pone.0123975

 

2014

Chappell, M. A., Mehndiratta, A., & Calamante, F. (2014).
Correcting for large vessel contamination in dynamic susceptibility contrast perfusion MRI by extension to a physiological model of the vasculature.
Magnetic Resonance in Medicine. doi:10.1002/mrm.25390

 

Tee, Y. K., Donahue, M. J., Harston, G. W. J., Payne, S. J. & Chappell, M. A.
Quantification of amide proton transfer effect pre- and post-gadolinium contrast agent administration.
J Magn Reson Imaging 40, 832–838 (2014). doi: 10.1002/jmri.24441

 

Tee, Y.K., Harston, G.W.J., Blockley, N., Okell, T.W., Levman, J., Sheerin, F., Cellerini, M., Jezzard, P., Kennedy, J., Payne, S.J., & Chappell, M.A.
Comparing different analysis methods for quantifying the MRI amide proton transfer (APT) effect in hyperacute stroke patients.
NMR in Biomedicine, 27(9), pp.1019–1029. doi: 10.1002/nbm.3147

 

Mehndiratta, A., Calamante, F., MacIntosh, B. J., Crane, D. E., Payne, S. J., & Chappell, M. A.
Modeling and correction of bolus dispersion effects in dynamic susceptibility contrast MRI.
Magnetic Resonance in Medicine, in press. doi:10.1002/mrm.25077

 

Mehndiratta, A., Calamante, F., MacIntosh, B. J., Crane, D. E., Payne, S. J., & Chappell, M. A.
Modeling the residue function in DSC-MRI simulations: Analytical approximation to in vivo data.
Magnetic Resonance in Medicine, in press. doi:10.1002/mrm.25056

 

Hartkamp, N. S., Helle, M., Chappell, M. A., Okell, T. W., Hendrikse, A. J., Bokkers, R. P. H., van Osch, M. J. P.
Validation of Planning-Free Vessel-Encoded Pseudo-Continuous Arterial Spin Labeling MR Imaging as Territorial-ASL Strategy by Comparison to Super-Selective p-CASL MRI.
Magnetic Resonance in Medicine, in press, doi:10.1002/mrm.24872

 

Mezue, M., Segerdahl, A. R., Okell, T. W., Chappell, M. A., Kelly, M. E., & Tracey, I.
Optimization and reliability of multiple postlabeling delay pseudo-continuous arterial spin labeling during rest and stimulus-induced functional task activation.
Journal of Cerebral Blood Flow and Metabolism34(12), 1919–1927. doi:10.1038/jcbfm.2014.163

 

Ghariq, E., Chappell, M. A., Schmid, S., Teeuwisse, W. M., & van Osch, M. J. P. 
Effects of background suppression on the sensitivity of dual-echo arterial spin labelling MRI for BOLD and CBF signal changes.
NeuroImage103, 316–322. doi:10.1016/j.neuroimage.2014.09.051

 

Castellaro, M., Peruzzo, D., Mehndiratta, A., Pillonetto, G., Petersen, E. T., Golay, X., et al.
Estimation of arterial arrival time and cerebral blood flow from QUASAR arterial spin labeling using stable spline
Magnetic Resonance in Medicine74(6), 1758–1767. doi:10.1002/mrm.25525

 

2013

Okell, T. W., Chappell, M. A., Kelly, M. E., & Jezzard, P.
Cerebral blood flow quantification using vessel-encoded arterial spin labeling.
Journal of cerebral blood flow and metabolism, 33(11), 1716–1724. doi:10.1038/jcbfm.2013.129


Tee, Y. K., Khrapitchev, A. A., Sibson, N. R., Payne, S. J., & Chappell, M. A. 
Optimal sampling schedule for chemical exchange saturation transfer. 
Magnetic Resonance in Medicine, 70(5), 1251-1262, in press. doi:10.1002/mrm.24567

 

Okell, T. W., Chappell, M. A., Jezzard, P.
A theoretical framework for quantifying blood volume flow rate from dynamic angiographic data and application to vessel-encoded arterial spin labeling MRI. 
Medical Image Analysis, 17(8), 1025–1036. doi:10.1016/j.media.2013.06.005

 

Chappell, M. A., Donahue, M. J., Tee, Y. K., Khrapitchev, A. A., Sibson, N. R., Jezzard, P., & Payne, S. J.
Quantitative Bayesian model-based analysis of amide proton transfer MRI.
Magnetic resonance in medicine, 70(2), 556-567, doi:10.1002/mrm.24474

 

Chappell, M. A., Woolrich, M. W., Kazan, S., Jezzard, P., Payne, S. J., & MacIntosh, B. J.
Modeling dispersion in arterial spin labeling: Validation using dynamic angiographic measurements.
Magnetic resonance in medicine, 69, 563-570. doi:10.1002/mrm.24260

 

Chappell, M. A., Woolrich, M. W., Petersen, E. T., Golay, X., & Payne, S. J.
Comparing model-based and model-free analysis methods for QUASAR arterial spin labeling perfusion quantification.
Magnetic resonance in medicine, 69(5), 1466-1475, doi:10.1002/mrm.24372

 

Mehndiratta, A., MacIntosh, B. J., Crane, D. E., Payne, S. J., &  Chappell, M. A.
A control point interpolation method for the non-parametric quantification of cerebral haemodynamics from dynamic susceptibility contrast MRI.
NeuroImage, 64, 560–570.  doi:10.1016/j.neuroimage.2012.08.083

 

Chappell, M. A., Woolrich, M. W., Kazan, S., Jezzard, P., Payne, S. J., & MacIntosh, B. J.
Modeling dispersion in arterial spin labeling: Validation using dynamic angiographic measurements.
Magnetic resonance in medicine, 69, 563-570. doi:10.1002/mrm.24260

 

Crane, D. E., Donahue, M. J., Chappell, M. A., Sideso, E., Handa, A., Kennedy, J., Jezzard, P., MacIntosh, B.J.
Evaluating quantitative approaches to dynamic susceptibility contrast MRI among carotid endarterectomy patients. 
Journal of magnetic resonance imaging, 37(4), 936–943. doi:10.1002/jmri.23882

 

Rane S, Donahue PMC, Towse T, Ridner S, Chappell MA, Jordi J, Gore J, Donahue MJ.
Clinical Feasibility of Noninvasive Visualization of Lymphatic Flow with Principles of Spin Labeling MR Imaging: Implications for Lymphedema Assessment.
Radiology 2013;269:893–902. doi: 10.1148/radiol.13120145.

 

Kelly ME, Rowland MJ, Okell TW, Chappell MA, Corkill R, Kerr RS, Westbrook J, Jezzard P, Pattinson KTS.
Pseudo-continuous arterial spin labelling MRI for non-invasive, whole-brain, serial quantification of cerebral blood flow following aneurysmal subarachnoid haemorrhage.
Translational Stroke Research 2013;4:710–718. doi: 10.1007/s12975-013-0269-y.

 

2012
Chappell, M. A., Okell, T. W., Payne, S. J., Jezzard, P., & Woolrich, M. W.
A fast analysis method for non-invasive imaging of blood flow in individual cerebral arteries using vessel-encoded arterial spin labelling angiography.
Medical Image Analysis. doi:10.1016/j.media.2011.12.004
 
Okell, T. W., Chappell, M. A., Schulz, U. G., & Jezzard, P.
A kinetic model for vessel-encoded dynamic angiography with arterial spin labeling.
Magnetic resonance in medicine, 68(3), 969–979. doi:10.1002/mrm.23311
 
Tee, Y. K., Khrapitchev, A. A., Sibson, N. R., Payne, S. J., &  Chappell, M. A.
Evaluating the use of a continuous approximation for model-based quantification of pulsed chemical exchange saturation transfer (CEST).
Journal of Magnetic Resonance, 222(C), 88–95. doi:10.1016/j.jmr.2012.07.003
 
Bulte, D. P., Kelly, M., Germuska, M., Xie, J., Chappell, M. A., Okell, T. W., Bright, M. G., et al.
Quantitative measurement of cerebral physiology using respiratory-calibrated MRI.
NeuroImage, 60(1), 582–591. doi:10.1016/j.neuroimage.2011.12.017
 
Donahue, M. J., Hoogduin, H., Smith, S. M., Siero, J. C. W., Chappell, M. A., Petridou, N., Jezzard, P., et al.
Spontaneous blood oxygenation level-dependent fMRI signal is modulated by behavioral state and correlates with evoked response in sensorimotor cortex: a 7.0-T fMRI study.
Human Brain Mapping, 33(3), 511–522.  doi:10.1002/hbm.21228

2011

Chappell, M. A., Groves, A. R., Macintosh, B. J., Donahue, M. J., Jezzard, P., & Woolrich, M. W.
Partial volume correction of multiple inversion time arterial spin labeling MRI data.
Magnetic Resonance in Medicine, 65(4), 1173–1183. doi:10.1002/mrm.22641
 
MacIntosh, B. J., Sideso, E., Donahue, M. J., Chappell, M. A., Günther, M., Handa, A., Kennedy, J., et al.
Intracranial hemodynamics is altered by carotid artery disease and after endarterectomy: a dynamic magnetic resonance angiography study.
Stroke, 42(4), 979–984.  doi:10.1161/STROKEAHA.110.590786
 
Orlowski, P., Chappell, M.A., Park, C. S., Grau, V., & Payne, S.
Modelling of pH dynamics in brain cells after stroke.
Interface Focus, 1(3), 408–416. doi:10.1098/rsfs.2010.0025

2010

Chappell, M. A., MacIntosh, B. J., Donahue, M. J., Guenther, M., Jezzard, P., & Woolrich, M. W.
Separation of Macrovascular Signal in Multi-inversion Time Arterial Spin Labelling MRI.
Magnetic Resonance in Medicine, 63(5), 1357–1365. doi:10.1002/mrm.22320
 
Chappell, M. A., Okell, T. W., Jezzard, P., & Woolrich, M. W.
A General Framework for the Analysis of Vessel Encoded Arterial Spin Labeling for Vascular Territory Mapping.
Magnetic resonance in medicine, 64(5), 1529–1539. doi:10.1002/mrm.22524
 
MacIntosh, B. J., Filippini, N., Chappell, M. A., Woolrich, M. W., Mackay, C. E., & Jezzard, P. (2010).
Assessment of arterial arrival times derived from multiple inversion time pulsed arterial spin labeling MRI.
Magnetic resonance in medicine, 63(3), 641–647. doi:10.1002/mrm.22256
 
Okell, T. W., Chappell, M. A., Woolrich, M. W., Guenther, M., Feinberg, D. A., & Jezzard, P.
Vessel-Encoded Dynamic Magnetic Resonance Angiography Using Arterial Spin Labeling.
Magnetic resonance in medicine, 64(3), 698–706.  doi:10.1002/mrm.22458
 
Kazan, S. M., Chappell, M. A., & Payne, S. J.
Modelling the effects of cardiac pulsations in arterial spin labelling.
Physics In Medicine And Biology, 55(3), 799–816. doi:10.1088/0031-9155/55/3/017

2009

Chappell, M.A., Groves, A., Whitcher, B., & Woolrich, M.
Variational Bayesian Inference for a Nonlinear Forward Model.
IEEE Transactions on Signal Processing, 57(1), 223–236.
 
Groves, A. R., Chappell, M.A., & Woolrich, M. W.
Combined spatial and non-spatial prior for inference on MRI time-series.
NeuroImage, 45(3), 795–809. doi:10.1016/j.neuroimage.2008.12.027
 
Kazan, S., Chappell, M.A., & Payne, S.J.
Modeling the Effects of Flow Dispersion in Arterial Spin Labeling.
IEEE Transactions on Biomedical Engineering, 56(6), 1635–1643. doi:10.1109/tbme.2009.2016977
 
Woolrich, M., Jbabdi, S., Patenaude, B., Chappell, M. A., Makni, S., Behrens, T., Beckmann, C., et al.
Bayesian analysis of neuroimaging data in FSL.
NeuroImage, 45(1, Supplement 1), S173–S186.

Pre 2009

Publications on Decompression Sickness and bubble growth modelling

Chappell, M. A., & Payne, S. J. (2007). 
The effect of cavity geometry on the nucleation of bubbles from cavities. 
The Journal of the Acoustical Society of America, 121(2), 853–862. doi:10.1121/1.2404629

Chappell, M. A., Uzel, S., & Payne, S. J. (2007). 
Modeling the detachment and transport of bubbles from nucleation sites in small vessels. 
IEEE Transactions on Biomedical Engineering, 54(11), 2106–2108. doi:10.1109/TBME.2007.895113
 
Chappell, M. A., & Payne, S. J. (2006). 
A physiological model of the interaction between tissue bubbles and the formation of blood-borne bubbles under decompression. 
Physics in Medicine and Biology, 51(9), 2321. doi:10.1088/0031-9155/51/9/015
 
Chappell, M. A., & Payne, S. J. (2006). 
A physiological model of the release of gas bubbles from crevices under decompression. 
Respiratory Physiology & Neurobiology, 153(2), 166–180. doi:10.1016/j.resp.2005.10.006
 
Chappell, M. A., & Payne, S. J. (2006). 
A physiological model of gas pockets in crevices and their behavior under compression. 
Respiratory Physiology & Neurobiology, 152(1), 100–114. doi:10.1016/j.resp.2005.07.010
 
Uzel, S., Chappell, M. A., & Payne, S. J. (2006). 
Modeling the cycles of growth and detachment of bubbles in carbonated beverages. 
The Journal of Physical Chemistry B, 110(14), 7579–7586. doi:10.1021/jp056531x
 
Chappell, M. A., & Payne, S. J. (2005). 
A Method for the Automated Detection of Venous Gas Bubbles in Humans Using Empirical Mode Decomposition. 
Annals of Biomedical Engineering, 33(10), 1411–1421. doi:10.1007/s10439-005-6045-8
 
Payne, S. J., & Chappell, M. A. (2005). 
Automated determination of bubble grades from Doppler ultrasound recordings. 
Aviation, Space, and Environmental Medicine, 76(8), 771–777.