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Accuracy assessment of global and local atrophy measurement techniques with realistic simulated longitudinal data.
In: (International Conference on Medical Image Computing and Computer-Assisted Intervention). 2007. 785-792 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ; 4792 LNCS)
The main goal of this work was to assess the accuracy of several well-known methods which provide global (BSI and SIENA) or local (Jacobian integration) estimates of longitudinal atrophy in brain structures using Magnetic Resonance images. For that purpose, we have generated realistic simulated images which mimic the patterns of change obtained from a cohort of 19 real controls and 27 probable Alzheimer's disease patients. SIENA and BSI results correlate very well with gold standard data (BSI mean absolute error < 0.29%; SIENA < 0.44%). Jacobian integration was guided by both fluid and FFD-based registration techniques and resulting deformation fields and associated Jacobians were compared, region by region, with gold standard ones. The FFD registration technique provided more satisfactory results than the fluid one. Mean absolute error differences between volume changes given by the FFD-based technique and the gold standard were: sulcal CSF < 2.49%; lateral ventricles < 2.25%; brain < 0.36%; hippocampi < 1.42%. © Springer-Verlag Berlin Heidelberg 2007.
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Publikationstyp
Artikel: Konferenzbeitrag
ISSN (print) / ISBN
0302-9743
e-ISSN
1611-3349
Konferenztitel
International Conference on Medical Image Computing and Computer-Assisted Intervention
Quellenangaben
Band: 4792 LNCS,
Heft: PART 2,
Seiten: 785-792
Nichtpatentliteratur
Publikationen
Institut(e)
Institute for Machine Learning in Biomed Imaging (IML)