NITRC News Group Forum: optimizing-hippocampal-segmentation-in-infants-utilizing-mri-post-acquisition-processing

NITRC News Group Forum: optimizing-hippocampal-segmentation-in-infants-utilizing-mri-post-acquisition-processing http://www.nitrc.org/forum/forum.php?forum_id=2415 <div class="Abstract" lang="en"><a name="Abs1"></a>Abstract  <div class="normal">This study aims to determine the most reliable method for infant hippocampal segmentation by comparing magnetic resonance (MR) imaging post-acquisition processing techniques: contrast to noise ratio (CNR) enhancement, or reformatting to standard orientation. MR scans were performed with a 1.5 T GE scanner to obtain dual echo T2 and proton density (PD) images at term equivalent (38–42 weeks’ gestational age). 15 hippocampi were manually traced four times on ten infant images by 2 independent raters on the original T2 image, as well as images processed by: a) combining T2 and PD images (T2-PD) to enhance CNR; then b) reformatting T2-PD images perpendicular to the long axis of the left hippocampus. CNRs and intraclass correlation coefficients (ICC) were calculated. T2-PD images had 17% higher CNR (15.2) than T2 images (12.6). Original T2 volumes’ ICC was 0.87 for rater 1 and 0.84 for rater 2, whereas T2-PD images’ ICC was 0.95 for rater 1 and 0.87 for rater 2. Reliability of hippocampal segmentation on T2-PD images was not improved by reformatting images (rater 1 ICC = 0.88, rater 2 ICC = 0.66). Post-acquisition processing can improve CNR and hence reliability of hippocampal segmentation in neonate MR scans when tissue contrast is poor. These findings may be applied to enhance boundary definition in infant segmentation for various brain structures or in any volumetric study where image contrast is sub-optimal, enabling hippocampal structure-function relationships to be explored. </div> </div><ul> <li>Content Type Journal Article</li><li>Category Original Article</li><li>Pages 1-8</li><li>DOI 10.1007/s12021-011-9137-7</li><li>Authors<ul> <li>Deanne K. Thompson, Critical Care and Neurosciences, Murdoch Childrens Research Institute, Royal Children’s Hospital, Melbourne, Australia</li><li>Zohra M. Ahmadzai, Critical Care and Neurosciences, Murdoch Childrens Research Institute, Royal Children’s Hospital, Melbourne, Australia</li><li>Stephen J. Wood, Department of Psychiatry, Melbourne Neuropsychiatry Centre and Melbourne Health, University of Melbourne, Melbourne, Australia</li><li>Terrie E. Inder, Critical Care and Neurosciences, Murdoch Childrens Research Institute, Royal Children’s Hospital, Melbourne, Australia</li><li>Simon K. Warfield, Department of Radiology, Children’s Hospital, Harvard Medical School, Boston, USA</li><li>Lex W. Doyle, Critical Care and Neurosciences, Murdoch Childrens Research Institute, Royal Children’s Hospital, Melbourne, Australia</li><li>Gary F. Egan, Centre for Neuroscience, Florey Neuroscience Institutes, University of Melbourne, Melbourne, Australia</li> </ul></li> </ul><ul class="parents"> <ul class="details"> <li>Journal <a href="http://www.springerlink.com/content/120559/">Neuroinformatics</a></li><li>Online ISSN 1559-0089</li><li>Print ISSN 1539-2791</li> </ul> </ul> en-us Copyright 2000-2026 NITRC OSI Sun, 19 Apr 2026 21:33:46 GMT http://blogs.law.harvard.edu/tech/rss NITRC RSS generator