Publications

@article{humphreys_protocol_2019,

title = {A protocol for precise comparisons of small vessel disease lesions between ex vivo magnetic resonance imaging and histopathology},

author = {Catherine A Humphreys and Maurits A Jansen and Susana Muñoz-Maniega and Víctor González-Castro and Cyril Pernet and Ian J Deary and Rustam Al-Shahi Salman and Joanna M Wardlaw and Colin Smith},

url = {https://journals.sagepub.com/doi/full/10.1177/1747493018799962},

year  = {2019},

date = {2019-01-01},

journal = {International Journal of Stroke},

volume = {14},

number = {3},

pages = {310–320},

abstract = {This study aims to improve understanding of the pathophysiology of human sporadic cerebral small vessel disease by correlating neuroimaging findings with neuropathological features. The research involves collecting histological samples from brain regions commonly affected by the disease, scanning them using 7-tesla MRI, and processing them for histology. The primary goal is to define the cellular characteristics of small vessel disease lesions and compare them to neuroimaging data. Secondary outcomes focus on abnormalities in protein expression and creating a reproducible protocol for correlating radiological and histological findings, which could apply to other neurological conditions in the future.},

note = {Publisher: SAGE Publications Sage UK: London, England},

keywords = {histology, neuroimaging, pathophysiology, small vessel disease},

pubstate = {published},

tppubtype = {article}

}

@article{gonzalez-castro_application_2017,

title = {Application of texture analysis to study small vessel disease and blood–brain barrier integrity},

author = {Víctor González-Castro and María del Carmen Valdés-Hernández and Francesca M Chappell and Eleni Sakka and Stephen Makin and Paul A Armitage and William H Nailon and Joanna M Wardlaw},

url = {https://www.frontiersin.org/journals/neurology/articles/10.3389/fneur.2017.00327/full},

year  = {2017},

date = {2017-01-01},

journal = {Frontiers in neurology},

volume = {8},

pages = {327},

abstract = {We evaluate the alternative use of texture analysis for evaluating the role of blood–brain barrier (BBB) in small vessel disease (SVD).},

note = {Publisher: Frontiers Media SA},

keywords = {blood brain barrier, FLAIR Imaging, MRI, neuroimaging, small vessel disease},

pubstate = {published},

tppubtype = {article}

}

@article{valdes-hernandez_computational_2016,

title = {On the computational assessment of white matter hyperintensity progression: difficulties in method selection and bias field correction performance on images with significant white matter pathology},

author = {Maria del Carmen Valdés-Hernández and Victor González-Castro and Dina T Ghandour and Xin Wang and Fergus Doubal and Susana Muñoz-Maniega and Paul A Armitage and Joanna M Wardlaw},

url = {https://link.springer.com/article/10.1007/s00234-016-1648-3},

year  = {2016},

date = {2016-01-01},

journal = {Neuroradiology},

volume = {58},

pages = {475–485},

abstract = {Subtle inhomogeneities in the scanner’s magnetic fields (B0 and B1) alter the intensity levels of the structural magnetic resonance imaging (MRI) affecting the volumetric assessment of WMH changes. Here, we investigate the influence that (1) correcting the images for the B1 inhomogeneities (i.e. bias field correction (BFC)) and (2) selection of the WMH change assessment method can have on longitudinal analyses of WMH progression and discuss possible solutions.},

note = {Publisher: Springer Berlin Heidelberg},

keywords = {cerebrovascular disorders, leukoencephalopathies, MRI, neuroimaging, white matter hyperintensities},

pubstate = {published},

tppubtype = {article}

}

@article{ballerini_application_2016,

title = {Application of the ordered logit model to optimising Frangi filter parameters for segmentation of perivascular spaces},

author = {Lucía Ballerini and Ruggiero Lovreglio and María del Carmen Valdés-Hernández and Víctor González-Castro and Susana Muñoz-Maniega and Enrico Pellegrini and Mark E Bastin and Ian J Deary and Joanna M Wardlaw},

url = {https://www.sciencedirect.com/science/article/pii/S1877050916311899},

year  = {2016},

date = {2016-01-01},

journal = {Procedia Computer Science},

volume = {90},

pages = {61–67},

abstract = {Segmenting perivascular spaces (PVS) in brain MRI is crucial for studying the brain's lymphatic system and its link to neurological diseases. The Frangi filter is a useful tool for this task, but its parameters must be optimized for different scanner settings. This study employs an ordered logit model to refine these parameters based on neuroradiological PVS ratings. The resulting PVS volume strongly correlates with expert assessments (Spearman’s ρ=0.75, p < 0.001), indicating that this approach is a promising alternative to conventional optimization methods.},

note = {Publisher: Elsevier},

keywords = {brain MRI, frangi filter, medical imaging, neuroimaging, perivascular spaces},

pubstate = {published},

tppubtype = {article}

}