Inter-method reliability between automatic region of interest analytic application with multi-atlas segmentation and FreeSurfer.

Psychogeriatrics : the Official Journal of the Japanese Psychogeriatric Society
Tomohiro UtsumiMasahiro Shigeta

Abstract

Alzheimer's disease (AD) is a progressive neurodegenerative disease characterized by the aggregation of amyloid-β and phosphorylated tau proteins. Magnetic resonance imaging (MRI) is a useful means of detecting hippocampal atrophy. However, instead of visual inspection, objective and time-saving tools for automated region of interest (ROI) analysis are needed. Advances in MRI segmentation techniques have enabled a multi-atlas approach with fewer errors than a conventional single-atlas approach. To support the clinical application of multi-atlas segmentation, an automated ROI analytic application consisting of multi-atlas segmentation with joint label fusion and corrective learning was developed: T-Proto. In the present study, we evaluated the inter-method reliability between T-Proto and a reference ROI analytic software, FreeSurfer. This was a database study. MRI data from 30 patients with AD were selected, and the inter-method reliability was assessed in terms of the intra-class correlation coefficient (ICC). A post-hoc comparison according to the severity of AD was also performed. Almost all the regional volumes estimated with T-Proto were smaller than those estimated with FreeSurfer. The regional ICC values between the two m...Continue Reading

References

Oct 10, 2009·NeuroImage·Robin WolzUNKNOWN Alzheimer's Disease Neuroimaging Initiative
Oct 28, 2009·NeuroImage·Jyrki Mp LötjönenUNKNOWN Alzheimer's Disease Neuroimaging Initiative
Mar 17, 2010·NeuroImage·Kelvin K LeungUNKNOWN Alzheimer's Disease Neuroimaging Initiative
Mar 15, 2011·NeuroImage·Rolf A HeckemannUNKNOWN Alzheimer's Disease Neuroimaging Initiative
Jul 19, 2011·Information Processing in Medical Imaging : Proceedings of the ... Conference·Hongzhi WangPaul Yushkevich
Mar 21, 2012·NeuroImage·Martin ReuterBruce Fischl
Dec 10, 2013·Frontiers in Neuroinformatics·Hongzhi Wang, Paul A Yushkevich
May 3, 2014·NeuroImage·Jon PipitoneUNKNOWN Alzheimer's Disease Neuroimaging Initiative
Mar 3, 2015·Journal of Neuroimaging : Official Journal of the American Society of Neuroimaging·Alfred L OchsUNKNOWN Alzheimer's Disease Neuroimaging Initiative
May 2, 2017·NeuroImage. Clinical·Silvio Ramos Bernardes da Silva FilhoJúlio César Moriguti
Mar 10, 2019·Scientific Reports·Pierrick CoupéGwenaelle Catheline

❮ Previous
Next ❯

Related Concepts

Related Feeds

Alzheimer's Disease: Neuroimaging

Neuroimaging can help identify pathological hallmarks of Alzheimer's disease (AD). Here is the latest research on neuroimaging modalities, including magnetic resonance imaging and positron emission tomography, in AD.

Alzheimer's Disease: Amyloid Beta

Alzheimer's disease is a neurodegenerative disease associated with the accumulation of amyloid plaques in the brain; these plaques are comprised of amyloid beta deposits. Here is the latest research in this field.

Related Papers

Chinese Medical Sciences Journal = Chung-kuo I Hsüeh K'o Hsüeh Tsa Chih
Liang SunDao-Qiang Zhang
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society
Hongzhi WangTanveer Syeda-Mahmood
IEEE Transactions on Medical Imaging
Suyash P Awate, Ross T Whitaker
© 2022 Meta ULC. All rights reserved