This title appears in the Scientific Report :
2008
Please use the identifier:
http://dx.doi.org/10.1016/j.neuroimage.2008.07.031 in citations.
Detection of structural changes of the human brain in longitudinally acquired MR images by deformation field morphometry: Methodological analysis, validation and application
Detection of structural changes of the human brain in longitudinally acquired MR images by deformation field morphometry: Methodological analysis, validation and application
The progression of neurodegenerative diseases as well as healthy aging is accompanied by structural changes of the brain. These changes are often only subtle when considered over time intervals of several months. Therefore morphometrical techniques for their detection in longitudinally acquired MR i...
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Personal Name(s): | Pieperhoff, P. |
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Südmeyer, M. / Hömke, L. / Zilles, K. / Schnitzler, A. / Amunts, K. | |
Contributing Institute: |
Institut für Neurowissenschaften und Biophysik - Medizin; INB-3 JARA-BRAIN; JARA-BRAIN |
Published in: | NeuroImage, 43 (2008) S. 269 - 287 |
Imprint: |
Orlando, Fla.
Academic Press
2008
|
Physical Description: |
269 - 287 |
DOI: |
10.1016/j.neuroimage.2008.07.031 |
PubMed ID: |
18706506 |
Document Type: |
Journal Article |
Research Program: |
Funktion und Dysfunktion des Nervensystems |
Series Title: |
NeuroImage
43 |
Subject (ZB): | |
Publikationsportal JuSER |
The progression of neurodegenerative diseases as well as healthy aging is accompanied by structural changes of the brain. These changes are often only subtle when considered over time intervals of several months. Therefore morphometrical techniques for their detection in longitudinally acquired MR images must be highly sensitive, and they require a careful validation. In the present study, a novel processing chain for a longitudinal analysis based on deformation field morphometry is described. Procedures for its quantitative validation are also reported: Deformation fields were computed for the simulation of non-linear, local structural changes of human brains. Applying these deformation fields to "original" MR images yielded deformed MR images. The volume changes defined by the deformation fields represented the standard, against which the results of the longitudinal analysis of each pair of original and deformed MR image were compared. The proposed processing chain enabled to localize and to quantify simulated local atrophies near the cortex as well as in deep brain structures. An exemplary analysis of serial MR images of a patient suffering from an atypical Parkinson syndrome (cortico-basal degeneration, CBD) and healthy control subjects is presented, showing a characteristic pattern of volume changes in the brain of the patient which is strikingly different from the controls' patterns of changes. |