A new approach for creating customizable cytoarchitectonic probabilistic maps wtihout a template
2009 (English)In: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2009: 12th International Conference London, UK September 20-24, 2009 Proceedings, Part II / [ed] Guang-Zhong Yang, David Hawkes, Daniel Rueckert, Alison Noble, Chris Taylor, Springer, 2009, 795-802 p.Chapter in book (Refereed)
We present a novel technique for creating template-free probabilistic maps of the cytoarchitectonic areas using a groupwise registration. We use the technique to transform 10 human post-mortem structural MR data sets, together with their corresponding cytoarchitectonic information, to a common space. We have targeted the cytoarchitectonically defined subregions of the primary auditory cortex. Thanks to the template-free groupwise registration, the created maps are not macroanatomically biased towards a specific geometry/topology. The advantage of the groupwise versus pairwise registration in avoiding such anatomical bias is better revealed in studies with small number of subjects and a high degree of variability among the individuals such as the post-mortem data. A leave-one-out cross-validation method was used to compare the sensitivity, specificity and positive predictive value of the proposed and published maps. We observe a significant improvement in localization of cytoarchitectonically defined subregions in primary auditory cortex using the proposed maps. The proposed maps can be tailored to any subject space by registering the subject image to the average of the groupwise-registered post-mortem images.
Place, publisher, year, edition, pages
Springer, 2009. 795-802 p.
, Lecture Notes in Computer Science, ISSN 0302-9743, EISSN 1611-3349 ; Vol. 5762
IdentifiersURN: urn:nbn:se:liu:diva-78212DOI: 10.1007/978-3-642-04271-3_96ISBN: 978-3-642-04270-6OAI: oai:DiVA.org:liu-78212DiVA: diva2:531719