The power-proportion method for intracranial volume correction in volumetric imaging analysis
In volumetric brain imaging analysis, volumes of brain structures are typically assumed to be proportional or linearly related to intracranial volume (ICV). However, evidence abounds that many brain structures have power law relationships with ICV. To take this relationship into account in volumetri...
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Frontiers Media S.A.
2014-11-01
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| Series: | Frontiers in Neuroscience |
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| Online Access: | http://journal.frontiersin.org/Journal/10.3389/fnins.2014.00356/full |
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doaj-fbe75be443564ef68c29e11170a219022020-11-25T01:40:45ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2014-11-01810.3389/fnins.2014.0035697423The power-proportion method for intracranial volume correction in volumetric imaging analysisJane S. Paulsen0Jane S. Paulsen1Jane S. Paulsen2Dawei eLiu3Hans J. Johnson4Hans J. Johnson5Jeffrey D Long6Jeffrey D Long7Vincent A. Magnotta8The University of Iowa Carver College of MedicineThe University of Iowa Carver College of MedicineThe University of IowaThe University of Iowa Carver College of MedicineThe University of Iowa, College of EngineeringThe University of Iowa Carver College of MedicineThe University of Iowa, College of Public HealthThe University of Iowa Carver College of MedicineThe University of Iowa Carver College of MedicineIn volumetric brain imaging analysis, volumes of brain structures are typically assumed to be proportional or linearly related to intracranial volume (ICV). However, evidence abounds that many brain structures have power law relationships with ICV. To take this relationship into account in volumetric imaging analysis, we propose a power law based method— the power-proportion method—for ICV correction. The performance of the new method is demonstrated using data from the PREDICT-HD study.http://journal.frontiersin.org/Journal/10.3389/fnins.2014.00356/fullMagnetic Resonance Imagingpower functionnonlinear modelIntracranial volumepower-proportion correction |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Jane S. Paulsen Jane S. Paulsen Jane S. Paulsen Dawei eLiu Hans J. Johnson Hans J. Johnson Jeffrey D Long Jeffrey D Long Vincent A. Magnotta |
| spellingShingle |
Jane S. Paulsen Jane S. Paulsen Jane S. Paulsen Dawei eLiu Hans J. Johnson Hans J. Johnson Jeffrey D Long Jeffrey D Long Vincent A. Magnotta The power-proportion method for intracranial volume correction in volumetric imaging analysis Frontiers in Neuroscience Magnetic Resonance Imaging power function nonlinear model Intracranial volume power-proportion correction |
| author_facet |
Jane S. Paulsen Jane S. Paulsen Jane S. Paulsen Dawei eLiu Hans J. Johnson Hans J. Johnson Jeffrey D Long Jeffrey D Long Vincent A. Magnotta |
| author_sort |
Jane S. Paulsen |
| title |
The power-proportion method for intracranial volume correction in volumetric imaging analysis |
| title_short |
The power-proportion method for intracranial volume correction in volumetric imaging analysis |
| title_full |
The power-proportion method for intracranial volume correction in volumetric imaging analysis |
| title_fullStr |
The power-proportion method for intracranial volume correction in volumetric imaging analysis |
| title_full_unstemmed |
The power-proportion method for intracranial volume correction in volumetric imaging analysis |
| title_sort |
power-proportion method for intracranial volume correction in volumetric imaging analysis |
| publisher |
Frontiers Media S.A. |
| series |
Frontiers in Neuroscience |
| issn |
1662-453X |
| publishDate |
2014-11-01 |
| description |
In volumetric brain imaging analysis, volumes of brain structures are typically assumed to be proportional or linearly related to intracranial volume (ICV). However, evidence abounds that many brain structures have power law relationships with ICV. To take this relationship into account in volumetric imaging analysis, we propose a power law based method— the power-proportion method—for ICV correction. The performance of the new method is demonstrated using data from the PREDICT-HD study. |
| topic |
Magnetic Resonance Imaging power function nonlinear model Intracranial volume power-proportion correction |
| url |
http://journal.frontiersin.org/Journal/10.3389/fnins.2014.00356/full |
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