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A Semiautomatic Image Processing Tool to Measure Small Structures in Magnetic Resonance Images of the Brain at 7 Tesla - Application to Hippocampus Subfields of Patients with Mild Cognitive Impairment

Topics: Feature Recognition and Extraction Methods; Image Processing Methods; Magnetic Resonance Imaging (MRI); Medical Imaging and Diagnosis

Authors: Alessandra Retico 1 ; Graziella Donatelli 2 ; Mauro Costagli 3 ; Laura Biagi 4 ; Maria Evelina Fantacci 5 ; Daniela Frosini 2 ; Gloria Tognoni 2 ; Mirco Cosottini 6 and Michela Tosetti 3

Affiliations: 1 Istituto Nazionale di Fisica Nucleare, Italy ; 2 Università di Pisa, Italy ; 3 IRCCS Fondazione Stella Maris and Fondazione Imago7, Italy ; 4 IRCCS Fondazione Stella Maris, Italy ; 5 Istituto Nazionale di Fisica Nucleare and Università di Pisa, Italy ; 6 Università di Pisa and Fondazione Imago7, Italy

Keyword(s): Image Processing Methods, Magnetic Resonance Imaging, Hippocampus, Mild Cognitive Impairment, Alzheimer Disease.

Related Ontology Subjects/Areas/Topics: Bioimaging ; Biomedical Engineering ; Cardiovascular Imaging and Cardiography ; Cardiovascular Technologies ; Feature Recognition and Extraction Methods ; Health Engineering and Technology Applications ; Image Processing Methods ; Magnetic Resonance Imaging ; Medical Imaging and Diagnosis ; NeuroSensing and Diagnosis ; Neurotechnology, Electronics and Informatics

Abstract: The current availability of Magnetic Resonance (MR) systems that operate at ultra high magnetic field (≥ 7 Tesla) allows the representation of anatomical structures at sub-millimeter resolution. Interestingly, small structures of the brain, such as the subfields of the hippocampus, the inner structures of the basal ganglia and of the brainstem become visible. Suitable software packages that allow analyzing and measuring such small structures are not currently readily available. We developed a semi-automated procedure to measure the thickness of the stratum radiatum and lacunosum-moleculare (SRLM) of the hippocampus. The change in the thickness of this subfield of the hippocampal formation is supposed to have a role in the pathological cognitive decline. Once we developed and validated the semiautomatic procedure on the 7T high-resolution T2*-weighted images of a healthy volunteer, we carried out a preliminary study on a population affected by Mild Cognitive Impairment to investigate the correlations of the SRLM thickness with the clinical scores of the patients, e.g. the Mini-Mental State Examination score and the Free and Cued Selective Reminding Test. (More)

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Paper citation in several formats:
Retico, A.; Donatelli, G.; Costagli, M.; Biagi, L.; Fantacci, M.; Frosini, D.; Tognoni, G.; Cosottini, M. and Tosetti, M. (2016). A Semiautomatic Image Processing Tool to Measure Small Structures in Magnetic Resonance Images of the Brain at 7 Tesla - Application to Hippocampus Subfields of Patients with Mild Cognitive Impairment. In Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016) - BIOIMAGING; ISBN 978-989-758-170-0; ISSN 2184-4305, SciTePress, pages 124-128. DOI: 10.5220/0005818001240128

@conference{bioimaging16,
author={Alessandra Retico. and Graziella Donatelli. and Mauro Costagli. and Laura Biagi. and Maria Evelina Fantacci. and Daniela Frosini. and Gloria Tognoni. and Mirco Cosottini. and Michela Tosetti.},
title={A Semiautomatic Image Processing Tool to Measure Small Structures in Magnetic Resonance Images of the Brain at 7 Tesla - Application to Hippocampus Subfields of Patients with Mild Cognitive Impairment},
booktitle={Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016) - BIOIMAGING},
year={2016},
pages={124-128},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005818001240128},
isbn={978-989-758-170-0},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016) - BIOIMAGING
TI - A Semiautomatic Image Processing Tool to Measure Small Structures in Magnetic Resonance Images of the Brain at 7 Tesla - Application to Hippocampus Subfields of Patients with Mild Cognitive Impairment
SN - 978-989-758-170-0
IS - 2184-4305
AU - Retico, A.
AU - Donatelli, G.
AU - Costagli, M.
AU - Biagi, L.
AU - Fantacci, M.
AU - Frosini, D.
AU - Tognoni, G.
AU - Cosottini, M.
AU - Tosetti, M.
PY - 2016
SP - 124
EP - 128
DO - 10.5220/0005818001240128
PB - SciTePress

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