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Measurement of the Stratum Radiatum/Lacunosum-Moleculare (SRLM)
[chapter]
2014
Informatik aktuell
Preserved Fulltext
It is based on the interpolated contour of the manually segmented SRLM and its medial axis. We automatically compute the axis by combining Voronoi diagrams and methods from graph analysis. ...
We evaluate our approach based on coronal T 2 * -weighted 7-Tesla MR images of 27 subjects. ...
[4] proposed a semi-automatic measurement. The user first draws in the medial axis of the SRLM in all slices. ...
doi:10.1007/978-3-642-54111-7_50
dblp:conf/bildmed/OeltzeSMDP14
fatcat:obl57it56nchdcpp3i4rku3km4
Automated Hippocampal Subfield Segmentation at 7T MRI
2016
American Journal of Neuroradiology
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CONCLUSIONS: This work demonstrates the feasibility of using a computational technique to automatically label hippocampal subfields and the entorhinal cortex at 7T MRI, with a high accuracy for most subfields ...
We aimed to evaluate an automated technique to segment hippocampal subfields and the entorhinal cortex at 7T MRI. ...
[14] [15] [16] Several manual segmentation protocols exist for 7T MRI, 5, 7, 17 and a semi automatic technique for measuring the thickness of hippocampal subfields and layers in the hippocampal body ...
doi:10.3174/ajnr.a4659
pmid:26846925
pmcid:PMC4907820
fatcat:mbva7kosgfgrlp43s5222jnuh4
Performance of semi-automated hippocampal subfield segmentation methods across ages in a pediatric sample
2019
NeuroImage
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In a developmental sample of individuals spanning 6-30 years, we assessed the degree to which two semi-automated segmentation approaches-one approach based on Automated Segmentation of Hippocampal Subfields ...
Moreover, manual segmentation requires some subjectivity and is not impervious to bias or error. ...
Acknowledgments Many thanks to Jessica Church-Lang, Tammy Tran, and Amelia Wattenberger for assistance with participant recruitment, data collection, and helpful discussions. ...
doi:10.1016/j.neuroimage.2019.01.051
pmid:30731245
pmcid:PMC6524646
fatcat:hy7dp6dgpnegjlwwvohiyrtxny
A Quantitative Imaging Biomarker Supporting Radiological Assessment of Hippocampal Sclerosis Derived From Deep Learning-Based Segmentation of T1w-MRI
2022
Frontiers in Neurology
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sensitivity to quantify hippocampal sclerosis than atlas-based methods and derived shape features are more robust. ...
learning-based segmentation of the hippocampus was the most sensitive to detecting HS. ...
subfields (FS-SF) (14) and FSL-FIRST (15) , and contrasted the results to a deep learning (DL)based segmentation (16) . ...
doi:10.3389/fneur.2022.812432
pmid:35250818
pmcid:PMC8894898
fatcat:pefls3t7kngfvesejxxrxzjpri
Multi-Atlas Segmentation with Joint Label Fusion
2013
IEEE Transactions on Pattern Analysis and Machine Intelligence
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Multi-atlas segmentation is an effective approach for automatically labeling objects of interest in biomedical images. ...
We validate our method in two medical image segmentation problems: hippocampus segmentation and hippocampus subfield segmentation in magnetic resonance (MR) images. ...
Acknowledgements We thank Sussane Mueller and Michael Weiner for providing the images used in our hippocampal subfield segmentation experiments. ...
doi:10.1109/tpami.2012.143
pmid:22732662
pmcid:PMC3864549
fatcat:kidcxtml7ngihd6hojfarlgfr4
Optimization and validation of automated hippocampal subfield segmentation across the lifespan
2017
Human Brain Mapping
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We evaluated the concurrent validity of an automated method for hippocampal subfields segmentation (automated segmentation of hippocampal subfields, ASHS; Yushkevich et al., 2015b) using a customized atlas ...
, yielding ICC above 0.90 for all subfields and alleviating systematic bias. ...
This atlas combination is then followed by a corrective learning function, which uses a machine learning approach to improve manual-automatic segmentation similarity based on a given number of manually ...
doi:10.1002/hbm.23891
pmid:29171108
fatcat:fe57ad3xvbdl5es7cshyowinpq
Hippocampal Segmentation in Brain MRI Images Using Machine Learning Methods: A Survey
2021
Chinese journal of electronics
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Next, brain hippocampal segmentation methods based on traditional machine learning and deep learning are described. ...
With the development of machine learning, many innovative methods have been proposed to segment the hippocampus. ...
Many of the MR sessions are accompanied by volumetric segmentation files produced by FreeSurfer. • Automatic Segmentation of Hippocampal Subfields (ASHS) This dataset was released with the ASHS software ...
doi:10.1049/cje.2021.06.002
fatcat:huj7qx4ajzghpj7jhwh7wzztoi
Comparison of semi-automated hippocampal subfield segmentation methods in a pediatric sample
[article]
2016
bioRxiv
pre-print
Preserved Fulltext
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Moreover, manual segmentation requires some subjectivity and is not impervious to bias or error. ...
Hippocampal Subfields (ASHS), to manual subfield delineation on each individual by a single expert rater. ...
brain implemented using the Automated Segmentation of Hippocampal Subfields (ASHS) software (Paul A. ...
doi:10.1101/064303
fatcat:urqcbuk65relvojukps3vfjroy
Semantic Segmentation of Hippocampal Subregions With U-Net Architecture
2021
International Journal of E-Health and Medical Communications (IJEHMC)
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hippocampal sub-regions ( Hippocampus Segmentation Multi Class HSMC), these two networks inspire their architecture of the U-net model. ...
The Automatic semantic segmentation of the hippocampus is an important area of research in which several convolutional neural networks (CNN) models have been used to detect the hippocampus from whole cerebral ...
On the other hand, semi-automated segmentation approaches are more advanced, such as those based on deformable models and the use of atlases. ...
doi:10.4018/ijehmc.20211101.oa4
fatcat:nbtwfq2e7bhmtov3st2urpdgy4
A computational atlas of the hippocampal formation using ex vivo , ultra-high resolution MRI: Application to adaptive segmentation of in vivo MRI
2015
NeuroImage
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The resulting atlas can be used to automatically segment the hippocampal subregions in structural MRI images, using an algorithm that can analyze multimodal data and adapt to variations in MRI contrast ...
The manual labels from the in vivo and ex vivo data were combined into a single computational atlas of the hippocampal formation with a novel atlas building algorithm based on Bayesian inference. ...
This research was also supported by NIH grants P30-AG010129 and K01-AG030514, as well as the ADNI 2 add-on project "Hippocampal Subfield Volumetry" (ADNI 2-12-233036). ...
doi:10.1016/j.neuroimage.2015.04.042
pmid:25936807
pmcid:PMC4461537
fatcat:oksmsx6wdrccbazgzvutbrjtqa
Automatic segmentation of the hippocampus for preterm neonates from early-in-life to term-equivalent age
2015
NeuroImage: Clinical
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The present study focuses on the development and validation of an automatic segmentation protocol that is based on the MAGeT-Brain (Multiple Automatically Generated Templates) algorithm to delineate the ...
These manual segmentations are considered the gold standard in assessing the automatic segmentations. ...
Fig. 8 . 8 Comparison of manual hippocampal segmentations with MAGeT-Brain-based hippocampal segmentations on the 22 early-in-life images of very preterm-born infants. ...
doi:10.1016/j.nicl.2015.07.019
pmid:26740912
pmcid:PMC4561668
fatcat:upmc2zatgnbodb3sn3gaz64nqu
Nonlinear interaction between APOE ε 4 allele load and age in the hippocampal surface of cognitively intact individuals
2020
Human Brain Mapping
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We segmented the hippocampus of the subjects with a multi-atlas-based approach, obtaining high-dimensional meshes that can be analyzed in a multivariate way. ...
In this work we analyzed the impact of APOE ε4 gene dose and its association with age, on hippocampal shape assessed with multivariate surface analysis, in a ε4-enriched cohort of n = 479 cognitively healthy ...
The hippocampus segmentations of the atlases, provided by ADNI, were computed using a semi-automatic hippocampal volumetry method (Hsu et al., 2002) . ...
doi:10.1002/hbm.25202
pmid:33017488
pmcid:PMC7721244
fatcat:qabc5wmjzzhrtk2olmpprwztqm
Amyloid-β and α-synuclein cerebrospinal fluid biomarkers and cognition in early Parkinson's disease
2015
Parkinsonism & Related Disorders
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hippocampal volumes using hippocampal subfield segmentation with FreeSurfer compared to Aβ-PET negative participants, suggesting an association between hippocampal subfield atrophy and Aβ plaques in preclinical ...
One study compared automated hippocampal subfield segmentation using FreeSurfer on lower resolution 3 T MRI with manual segmentation on high-resolution 3 T MRI (244). ...
PD patients had smaller volumes of total hippocampus, presubiculum, subiculum, CA2-3, CA4-DG, and hippocampal tail compared with normal controls (NCs). ...
doi:10.1016/j.parkreldis.2015.04.027
pmid:25971633
fatcat:waisjlasjvhdrlec6tkf6fcevm
Medical imaging diagnosis of early Alzheimer rsquo s disease
2018
Frontiers in Bioscience
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(42) focused on the automatic segmentation of the hippocampal subfields due to their relation to the early pathology of AD. ...
References
Table 2 . 2 The MRI studies based on Hippocampus Ref.
43
Approach
details
Goal
Segmentation (multi-atlas image segmentation with ELM based bias detection and correction technique) ...
Dependency upon the enrolled data also represents a source of limitations in the context of applying computerized methods/techniques with AD. ...
doi:10.2741/4612
pmid:28930568
fatcat:6f5gzcdyireuro3ylaswz2p734
Theta- and gamma-band oscillatory uncoupling in the macaque hippocampus
[article]
2022
bioRxiv
pre-print
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Nested hippocampal oscillations in the rodent gives rise to temporal coding that may underlie learning, memory, and decision making. ...
Moreover, delta/theta (3-8 Hz) amplitude was strongest when beta2/slow gamma (20-35 Hz) amplitude was weakest, though the low frequencies coupled with higher, ripple frequencies (60-150 Hz). ...
Spike sorting was performed semi-automatically using KlustaKwik based on wave shape, principal components, energy, and peak/valley across channels. ...
doi:10.1101/2021.12.30.474585
fatcat:bzow3572ybhg3jjryybvfaxybu
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