Bayesian estimation of templates in computational anatomy: Difference between revisions
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== Surface estimation in cardiac computational anatomy ==
[[File:Siamak atlas.tif|alt=Showing population heart atlases with superimposed hypertrophy.|thumb|Showing population atlases identifying regional differences in radial thickness at end-systolic cardiac phase between patients with hypertrophic cardiomyopathy (left) and hypertensive heart disease (right). Gray mesh shows the common surface template to the population, with the color map representing basilar septal and anterior epicardial wall with larger radial thickness in patients with hypertrophic cardiomyopathy vs. hypertensive heart disease.<ref name="Ardekani et al 2016">{{cite journal |last1=Ardekani |first1=Siamak |last2=Jain |first2=Saurabh |last3=Sanzi |first3=Alianna |last4=Corona-Villalobos |first4=Celia P. |last5=Abraham |first5=Theodore P. |last6=Abraham |first6=M. Roselle |last7=Zimmerman |first7=Stefan L. |last8=Wu |first8=Katherine C. |last9=Winslow |first9=Raimond L. |last10=Miller |first10=Michael I. |last11=Younes |first11=Laurent |title=Shape analysis of hypertrophic and hypertensive heart disease using MRI-based 3D surface models of left ventricular geometry |journal=Medical Image Analysis |date=April 2016 |volume=29 |pages=12–23 |doi=10.1016/j.media.2015.11.004 |pmid=26766206 |pmc=4850908 }}</ref>]]
Numerous studies have now been done on cardiac hypertrophy and the role of the structural integraties in the functional mechanics of the heart. Siamak Ardekani has been working on populations of Cardiac anatomies reconstructing atlas coordinate systems from populations.<ref>{{Cite journal|last1=Ardekani|first1=Siamak|last2=Weiss|first2=Robert G.|last3=Lardo|first3=Albert C.|last4=George|first4=Richard T.|last5=Lima|first5=Joao A. C.|last6=Wu|first6=Katherine C.|last7=Miller|first7=Michael I.|last8=Winslow|first8=Raimond L.|last9=Younes|first9=Laurent|date=2009-06-01|title=Computational method for identifying and quantifying shape features of human left ventricular remodeling|journal=Annals of Biomedical Engineering|volume=37|issue=6|pages=1043–1054|doi=10.1007/s10439-009-9677-2|issn=1573-9686|pmc=2819012|pmid=19322659}}</ref><ref>{{Cite journal|last1=Steinert-Threlkeld|first1=Shane|last2=Ardekani|first2=Siamak|last3=Mejino|first3=Jose L. V.|last4=Detwiler|first4=Landon Todd|last5=Brinkley|first5=James F.|last6=Halle|first6=Michael|last7=Kikinis|first7=Ron|last8=Winslow|first8=Raimond L.|last9=Miller|first9=Michael I.|date=2012-06-01|title=Ontological labels for automated ___location of anatomical shape differences|journal=Journal of Biomedical Informatics|volume=45|issue=3|pages=522–527|doi=10.1016/j.jbi.2012.02.013|issn=1532-0480|pmc=3371096|pmid=22490168}}</ref><ref>{{Cite book |doi=10.1109/EMBC.2014.6944772|issn=1557-170X|pmc=4474039|pmid=25571140|isbn=978-1-4244-7929-0|chapter=Estimating dense cardiac 3D motion using sparse 2D tagged MRI cross-sections
== MAP Estimation of volume templates from populations and the EM algorithm ==
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