Title :
Building a surface atlas of hippocampal subfields from MRI scans using FreeSurfer, FIRST and SPHARM
Author :
Shan Cong ; Rizkalla, Maher ; Du, Eliza Y. ; West, Jevin ; Risacher, Shannon ; Saykin, Andrew ; Li Shen
Author_Institution :
Dept. of Electr. & Comput. Eng., Purdue Univ., Indianapolis, IN, USA
Abstract :
The hippocampus is widely studied with neuroimaging techniques given its importance in learning and memory and its potential as a biomarker for brain disorders such as Alzheimer´s disease and epilepsy. However, its complex folding anatomy often presents analytical challenges. In particular, the critical hippocampal subfield information is usually ignored by hippocampal registration in detailed morphometric studies. Such an approach is thus inadequate to accurately characterize hippocampal morphometry and effectively identify hippocampal structural changes related to different conditions. To bridge this gap, we present our initial effort towards building a computational framework for subfield-guided hippocampal morphometry. This initial effort is focused on surface-based morphometry and aims to build a surface atlas of hippocampal subfields. Using the FreeSurfer software package, we obtain valuable hippocampal subfield information. Using the FIRST software package, we extract reliable hippocampal surface information. Using SPHARM, we develop an approach to create an atlas by mapping interpolated subfield information onto an average surface. The empirical result using ADNI data demonstrates the promise and good reproducibility of the proposed method.
Keywords :
biomedical MRI; brain; cognition; diseases; image registration; medical disorders; medical image processing; neurophysiology; ADNI data; Alzheimer´s disease; FIRST software package; FreeSurfer software package; MRI scans; SPHARM; biomarker; brain disorders; complex folding anatomy; computational framework; critical hippocampal subfield information; epilepsy; hippocampal registration; hippocampal structural changes; interpolated subfield information mapping; learning; memory; neuroimaging techniques; reliable hippocampal surface information; subfield-guided hippocampal morphometry; surface atlas; surface-based morphometry; Diseases; Hippocampus; Magnetic resonance imaging; Shape; Surface reconstruction; Surface treatment; Three-dimensional displays;
Conference_Titel :
Circuits and Systems (MWSCAS), 2014 IEEE 57th International Midwest Symposium on
Conference_Location :
College Station, TX
Print_ISBN :
978-1-4799-4134-6
DOI :
10.1109/MWSCAS.2014.6908539