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A vertex clustering model for disease progression: Application to cortical thickness images

Marinescu, RV; Eshaghi, A; Lorenzi, M; Young, AL; Oxtoby, NP; Garbarino, S; Shakespeare, TJ; ... Alexander, DC; + view all (2017) A vertex clustering model for disease progression: Application to cortical thickness images. In: Hutchison, David and Kanade, Takeo and Kittler, Josef and Kleinberg, Jon M. and Mattern, Friedemann and Mitchell, John C. and Naor, Moni and Rangan, C. Pandu and Steffen, Bernhard and Terzopoulos, Demetri and Tygar, Doug and Weikum, Gerhard, (eds.) Information Processing in Medical Imaging. IPMI 2017. Lecture Notes in Computer Science. (pp. pp. 134-145). Springer: Cham, Switzerland. Green open access

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Abstract

We present a disease progression model with single vertex resolution that we apply to cortical thickness data. Our model works by clustering together vertices on the cortex that have similar temporal dynamics and building a common trajectory for vertices in the same cluster. The model estimates optimal stages and progression speeds for every subject. Simulated data show that it is able to accurately recover the vertex clusters and the underlying parameters. Moreover, our clustering model finds similar patterns of atrophy for typical Alzheimer’s disease (tAD) subjects on two independent datasets: the Alzheimer’s Disease Neuroimaging Initiative (ADNI) and a cohort from the Dementia Research Centre (DRC), UK. Using a separate set of subjects with Posterior Cortical Atrophy (PCA) from the DRC dataset, we also show that the model finds different patterns of atrophy in PCA compared to tAD. Finally, our model provides a novel way to parcellate the brain based on disease dynamics.

Type: Proceedings paper
Title: A vertex clustering model for disease progression: Application to cortical thickness images
Event: Information Processing in Medical Imaging. IPMI 2017. Lecture Notes in Computer Science
ISBN-13: 9783319590493
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/978-3-319-59050-9_11
Publisher version: https://doi.org/10.1007/978-3-319-59050-9_11
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Disease progression model, Cortical thickness, Vertex-wise measures, Alzheimer’s disease, Posterior Cortical Atrophy
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Neurodegenerative Diseases
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Neuroinflammation
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng
URI: http://discovery.ucl.ac.uk/id/eprint/1563000
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