Literature DB >> 11352619

Deformation-based morphometry and its relation to conventional volumetry of brain lateral ventricles in MRI.

C Gaser1, I Nenadic, B R Buchsbaum, E A Hazlett, M S Buchsbaum.   

Abstract

Deformation-based morphometry (DBM) is a useful technique to detect morphological differences over the entire brain since it analyses positional differences between every voxel and a standard brain. In this report we compare DBM to semimanual tracing of brain ventricles in a population of 39 patients with schizophrenia. High-resolution T(1)-weighted magnetic resonance images were obtained and processed with DBM and interactive tracing software. We evaluate the validity of the DBM in two different approaches. First, we divide subjects into two groups based on the mean ventricular/brain ratios and compute statistical maps of displacement vectors and their spatial derivatives. This analysis demonstrates a striking consistency of the DBM and visual tracing results. We show that restricting the information about the deformation fields by computing the local Jacobian determinant (as a measure of volume change) provides evidence of the shape of ventricular deformation which is unavailable from ventricular volume measures alone. Second, we compute a mean measure of the Jacobian values over the entire ventricles and observe a correlation of r = 0.962 with visual tracing based ventricular/brain ratios. The results support the usefulness and validity of DBM for the local and global examination of brain morphology. Copyright 2001 Academic Press.

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Year:  2001        PMID: 11352619     DOI: 10.1006/nimg.2001.0771

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  29 in total

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3.  Large-Vessel Vasculopathy in Children With Sickle Cell Disease: A Magnetic Resonance Imaging Study of Infarct Topography and Focal Atrophy.

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Journal:  Pediatr Neurol       Date:  2016-12-07       Impact factor: 3.372

4.  Neural correlates of distinct cognitive phenotypes in early Parkinson's disease.

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5.  A Systematic Characterization of Structural Brain Changes in Schizophrenia.

Authors:  Wasana Ediri Arachchi; Yanmin Peng; Xi Zhang; Wen Qin; Chuanjun Zhuo; Chunshui Yu; Meng Liang
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6.  View-centralized multi-atlas classification for Alzheimer's disease diagnosis.

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7.  Brain atrophy in Parkinson's disease with polysomnography-confirmed REM sleep behavior disorder.

Authors:  Shady Rahayel; Malo Gaubert; Ronald B Postuma; Jacques Montplaisir; Julie Carrier; Oury Monchi; David Rémillard-Pelchat; Pierre-Alexandre Bourgouin; Michel Panisset; Sylvain Chouinard; Sven Joubert; Jean-François Gagnon
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8.  Structural consequences of diffuse traumatic brain injury: a large deformation tensor-based morphometry study.

Authors:  Junghoon Kim; Brian Avants; Sunil Patel; John Whyte; Branch H Coslett; John Pluta; John A Detre; James C Gee
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9.  Relationship Induced Multi-Template Learning for Diagnosis of Alzheimer's Disease and Mild Cognitive Impairment.

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Journal:  IEEE Trans Med Imaging       Date:  2016-01-05       Impact factor: 10.048

10.  Computational morphometry for detecting changes in brain structure due to development, aging, learning, disease and evolution.

Authors:  Daniel Mietchen; Christian Gaser
Journal:  Front Neuroinform       Date:  2009-08-11       Impact factor: 4.081

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