Premium
Three‐Dimensional Models of Individual Cardiac Histoanatomy: Tools and Challenges
Author(s) -
BURTON REBECCA A.B.,
PLANK GERNOT,
SCHNEIDER JÜRGEN E.,
GRAU VICENTE,
AHAMMER HELMUT,
KEELING STEPHEN L.,
LEE JACK,
SMITH NICOLAS P.,
GAVAGHAN DAVID,
TRAYANOVA NATALIA,
KOHL PETER
Publication year - 2006
Publication title -
annals of the new york academy of sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.712
H-Index - 248
eISSN - 1749-6632
pISSN - 0077-8923
DOI - 10.1196/annals.1380.023
Subject(s) - computer science , voxel , artificial intelligence , high resolution , cardiac imaging , basis (linear algebra) , function (biology) , medical physics , data mining , computer vision , medicine , radiology , mathematics , remote sensing , geometry , evolutionary biology , biology , geology
There is a need for, and utility in, the acquisition of data sets of cardiac histoanatomy, with the vision of reconstructing individual hearts on the basis of noninvasive imaging, such as MRI, enriched by reference to detailed atlases of serial histology obtained from representative samples. These data sets would be useful not only as a repository of knowledge regarding the specifics of cardiac histoanatomy, but could form the basis for generation of individualized high‐resolution cardiac structure–function models. The current article presents a step in this general direction: it illustrates how whole‐heart noninvasive imaging can be combined with whole‐heart histology in an approach to achieve automated construction of histoanatomically detailed models of cardiac 3D structure and function at hitherto unprecedented resolution and accuracy (based on 26.4 × 26.4 × 24.4 μm MRI voxel size, and enriched by histological detail). It provides an overview of the tools used in this quest and outlines challenges posed by the approach in the light of applications that may benefit from the availability of such data and tools.