@inproceedings{92dc64e7a53144fc9b355049a54a9d3d,
title = "Increasing power to predict mild cognitive impairment conversion to Alzheimer's disease using hippocampal atrophy rate and statistical shape models",
abstract = "Identifying mild cognitive impairment (MCI) subjects who will convert to clinical Alzheimer's disease (AD) is important for therapeutic decisions, patient counselling and clinical trials. Hippocampal volume and rate of atrophy predict clinical decline at the MCI stage and progression to AD. In tins paper, we create p-maps from the differences in the shape of the hippocampus between 60 normal controls and 60 AD subjects using statistical shape models, and generate different regions of interest; (ROI) by thresholding the p-maps at different significance levels. We demonstrate increased statistical power to classify 86 MCI converters and 128 MCI stable subjects using the hippocampal atrophy rates calculated by the boundary shift integral within these ROIs.",
author = "Leung, {Kelvin K.} and Kai-Kai Shen and Josephine Barnes and Ridgway, {Gerard R.} and Clarkson, {Matthew J.} and Jurgen Fripp and Olivier Salvado and Fabrice Meriaudeau and Fox, {Nick C.} and Pierrick Bourgeat and Sebastien Ourselin",
year = "2010",
doi = "10.1007/978-3-642-15745-5_16",
language = "English",
isbn = "9783642157448",
series = "Lecture Notes in Computer Science",
publisher = "Springer, Springer Nature",
pages = "125--132",
editor = "Tianzi Jiang and Nassir Navab and Pluim, {Josein P. W.} and Viergever, {Max A.}",
booktitle = "Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010",
address = "United States",
note = "13th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) ; Conference date: 20-09-2010 Through 24-09-2010",
}