Relevant bibliographies by topics / FreeSurfer (Software)

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Academic literature on the topic 'FreeSurfer (Software)'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "FreeSurfer (Software)"

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Muschelli, John, Elizabeth Sweeney, and Ciprian M. Crainiceanu. "freesurfer: Connecting the Freesurfer software with R." F1000Research 7 (May 16, 2018): 599. http://dx.doi.org/10.12688/f1000research.14361.1.

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We present the packagefreesurfer, a set of R functions that interface with Freesurfer, a commonly-used open-source software package for processing and analyzing structural neuroimaging data, specifically T1-weighted images. Thefreesurferpackage performs operations on nifti image objects in R using command-line functions from Freesurfer, and returns R objects back to the user. freesurferallows users to process neuroanatomical images and provides functionality to convert and read the output of the Freesurfer pipelines more easily, including brain images, brain surfaces, and Freesurfer output tab
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Aljondi, Rowa, Cassandra Szoeke, Chris Steward, Elaine Lui, Salem Alghamdi, and Patricia Desmond. "The impact of hippocampal segmentation methods on correlations with clinical data." Acta Radiologica 61, no. 7 (2019): 953–63. http://dx.doi.org/10.1177/0284185119885120.

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Background In vivo measurement of hippocampal volume with magnetic resonance imaging (MRI) has become an important element in neuroimaging research. However, hippocampal volumetric findings and their relationship with cardiovascular risk factors and memory performance are still controversial and inconsistent for non-demented adults. Purpose To compare total and regional hippocampal volumes from manual tracing and automated Freesurfer segmentation methods and their relationship with mid-life clinical data and late-life verbal episodic memory performance in older women. Material and Methods This
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Cardinale, Francesco, Giuseppa Chinnici, Manuela Bramerio, et al. "Validation of FreeSurfer-Estimated Brain Cortical Thickness: Comparison with Histologic Measurements." Neuroinformatics 12, no. 4 (2014): 535–42. http://dx.doi.org/10.1007/s12021-014-9229-2.

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Wittens, Mandy Melissa Jane, Diana Maria Sima, Ruben Houbrechts, et al. "Diagnostic Performance of Automated MRI Volumetry by icobrain dm for Alzheimer’s Disease in a Clinical Setting: A REMEMBER Study." Journal of Alzheimer's Disease 83, no. 2 (2021): 623–39. http://dx.doi.org/10.3233/jad-210450.

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Background: Magnetic resonance imaging (MRI) has become important in the diagnostic work-up of neurodegenerative diseases. icobrain dm, a CE-labeled and FDA-cleared automated brain volumetry software, has shown potential in differentiating cognitively healthy controls (HC) from Alzheimer’s disease (AD) dementia (ADD) patients in selected research cohorts. Objective: This study examines the diagnostic value of icobrain dm for AD in routine clinical practice, including a comparison to the widely used FreeSurfer software, and investigates if combined brain volumes contribute to establish an AD di
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Lee, Jungbin, Ji Young Lee, Se Won Oh, et al. "Evaluation of Reproducibility of Brain Volumetry between Commercial Software, Inbrain and Established Research Purpose Method, FreeSurfer." Journal of Clinical Neurology 17, no. 2 (2021): 307. http://dx.doi.org/10.3988/jcn.2021.17.2.307.

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Bruurmijn, Mark L. C. M., Wouter Schellekens, Mathijs A. H. Raemaekers, and Nick F. Ramsey. "A Novel 2D Standard Cartesian Representation for the Human Sensorimotor Cortex." Neuroinformatics 18, no. 2 (2019): 283–93. http://dx.doi.org/10.1007/s12021-019-09441-y.

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AbstractFor some experimental approaches in brain imaging, the existing normalization techniques are not always sufficient. This may be the case if the anatomical shape of the region of interest varies substantially across subjects, or if one needs to compare the left and right hemisphere in the same subject. Here we propose a new standard representation, building upon existing normalization methods: Cgrid (Cartesian geometric representation with isometric dimensions). Cgrid is based on imposing a Cartesian grid over a cortical region of interest that is bounded by anatomical (atlas-based) lan
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Sörös, Peter, Louise Wölk, Carsten Bantel, Anja Bräuer, Frank Klawonn, and Karsten Witt. "Replicability, Repeatability, and Long-term Reproducibility of Cerebellar Morphometry." Cerebellum 20, no. 3 (2021): 439–53. http://dx.doi.org/10.1007/s12311-020-01227-2.

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AbstractTo identify robust and reproducible methods of cerebellar morphometry that can be used in future large-scale structural MRI studies, we investigated the replicability, repeatability, and long-term reproducibility of three fully automated software tools: FreeSurfer, CEREbellum Segmentation (CERES), and automatic cerebellum anatomical parcellation using U-Net with locally constrained optimization (ACAPULCO). Replicability was defined as computational replicability, determined by comparing two analyses of the same high-resolution MRI data set performed with identical analysis software and
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Enyagina, Irina M., Andrey N. Polyakov, Alexey A. Poyda, and Vadim L. Ushakov. "System for Automatic Processing and Analysis of MRI/fMRI Data on the Kurchatov Institute Supercomputer." EPJ Web of Conferences 226 (2020): 03006. http://dx.doi.org/10.1051/epjconf/202022603006.

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This paper presents the Computer Model of the System for Automatic Processing and Analysis of MRI/fMRI tomography data, obtained at the Kurchatov Institute Resource Center “Cognimed”. The System is based on the “Digital Lab” IT-Platform, involving the Kurchatov Institute Supercomputer Cluster HPC4, which allows speeding up the processing of data for groups (2–350 subjects) by parallelization of computations on the supercomputer nodes (1 subject – 1 node). The proposed System allows scientists to remotely use the installed on the supercomputer specialized software to process and analyze MRI/fMR
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Palumbo, L., P. Bosco, M. E. Fantacci, et al. "Evaluation of the intra- and inter-method agreement of brain MRI segmentation software packages: A comparison between SPM12 and FreeSurfer v6.0." Physica Medica 64 (August 2019): 261–72. http://dx.doi.org/10.1016/j.ejmp.2019.07.016.

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10

Leon-Llamas, Juan Luis, Santos Villafaina, Alvaro Murillo-Garcia, Francisco Javier Dominguez-Muñoz, and Narcis Gusi. "Effects of 24-Week Exergame Intervention on the Gray Matter Volume of Different Brain Structures in Women with Fibromyalgia: A Single-Blind, Randomized Controlled Trial." Journal of Clinical Medicine 9, no. 8 (2020): 2436. http://dx.doi.org/10.3390/jcm9082436.

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Background: Exergame-induced changes in the volume of brain gray matter have not been studied in fibromyalgia (FM). This study evaluates the effects of a 24-week exergame-based intervention on the gray matter volume of different brain structures in patients with FM through magnetic resonance imaging (MRI). Methods: A total of 25 FM patients completed 24 weeks of intervention program, and another 25 FM patients did not receive any intervention. T1-weighted MRI was used to assess brain volume, and FreeSurfer software was used to segment the brain regions. Results: No significant effects on gray
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Dissertations / Theses on the topic "FreeSurfer (Software)"

1

Rezende, Thiago Junqueira Ribeiro de 1988. "Investigação do dano cortical cerebral e cerebelar em pacientes com doença de Machado-Joseph." [s.n.], 2014. http://repositorio.unicamp.br/jspui/handle/REPOSIP/312444.

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Orientadores: Marcondes Cavalcante França Junior, Gabriela Castellano<br>Texto em português e inglês<br>Dissertação (mestrado profissional) - Universidade Estadual de Campinas, Faculdade de Ciências Médicas<br>Made available in DSpace on 2018-08-24T20:36:08Z (GMT). No. of bitstreams: 1 Rezende_ThiagoJunqueiraRibeirode_M.pdf: 1634329 bytes, checksum: 78c3b3cb6bd66174acfe01359a6cb758 (MD5) Previous issue date: 2014<br>Resumo: A doença de Machado-Joseph (SCA3/MJD) é a ataxia espinocerebelar mais frequente no mundo, resultante de uma expansão de tripletos CAG no gene MJD1 localizado no cromossom
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