Biometry extraction and probabilistic anatomical atlas of the anterior Visual Pathway using dedicated high-resolution 3-D MRI
Abstract Anterior Visual Pathway (aVP) damage may be linked to diverse inflammatory, degenerative and/or vascular conditions. Currently however, a standardized methodological framework for extracting MRI biomarkers of the aVP is not available. We used high-resolution, 3-D MRI data to generate a prob...
| Main Authors: | , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2024-01-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-023-50980-x |
| _version_ | 1797363365473943552 |
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| author | Emanuele Pravatà Andrea Diociasi Riccardo Navarra Luca Carmisciano Maria Pia Sormani Luca Roccatagliata Andrea Chincarini Alessandra Ossola Andrea Cardia Alessandro Cianfoni Alain Kaelin-Lang Claudio Gobbi Chiara Zecca |
| author_facet | Emanuele Pravatà Andrea Diociasi Riccardo Navarra Luca Carmisciano Maria Pia Sormani Luca Roccatagliata Andrea Chincarini Alessandra Ossola Andrea Cardia Alessandro Cianfoni Alain Kaelin-Lang Claudio Gobbi Chiara Zecca |
| author_sort | Emanuele Pravatà |
| collection | DOAJ |
| description | Abstract Anterior Visual Pathway (aVP) damage may be linked to diverse inflammatory, degenerative and/or vascular conditions. Currently however, a standardized methodological framework for extracting MRI biomarkers of the aVP is not available. We used high-resolution, 3-D MRI data to generate a probabilistic anatomical atlas of the normal aVP and its intraorbital (iOrb), intracanalicular (iCan), intracranial (iCran), optic chiasm (OC), and tract (OT) subdivisions. We acquired 0.6 mm3 steady-state free-precession images from 24 healthy participants using a 3 T scanner. aVP masks were obtained by manual segmentation of each aVP subdivision. Mask straightening and normalization with cross-sectional area (CSA) preservation were obtained using scripts developed in-house. A probabilistic atlas (“aVP-24”) was generated by averaging left and right sides of all subjects. Leave-one-out cross-validation with respect to interindividual variability was performed employing the Dice Similarity Index (DSI). Spatially normalized representations of the aVP subdivisions were generated. Overlapping CSA values before and after normalization demonstrate preservation of the aVP cross-section. Volume, length, CSA, and ellipticity index (ε) biometrics were extracted. The aVP-24 morphology followed previous descriptions from the gross anatomy. Atlas spatial validation DSI scores of 0.85 in 50% and 0.77 in 95% of participants indicated good generalizability across the subjects. The proposed MRI standardization framework allows for previously unavailable, geometrically unbiased biometric data of the entire aVP and provides the base for future spatial-resolved, group-level investigations. |
| first_indexed | 2024-03-08T16:20:21Z |
| format | Article |
| id | doaj.art-5762c4b4189c4d939eb0726cd45d95c0 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-03-08T16:20:21Z |
| publishDate | 2024-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-5762c4b4189c4d939eb0726cd45d95c02024-01-07T12:23:34ZengNature PortfolioScientific Reports2045-23222024-01-0114111310.1038/s41598-023-50980-xBiometry extraction and probabilistic anatomical atlas of the anterior Visual Pathway using dedicated high-resolution 3-D MRIEmanuele Pravatà0Andrea Diociasi1Riccardo Navarra2Luca Carmisciano3Maria Pia Sormani4Luca Roccatagliata5Andrea Chincarini6Alessandra Ossola7Andrea Cardia8Alessandro Cianfoni9Alain Kaelin-Lang10Claudio Gobbi11Chiara Zecca12Neurocenter of Southern Switzerland, EOC, NeuroradiologyDepartment of Health Sciences, University of GenovaInstitute for Advanced Biomedical Technology (I.T.A.B.)Department of Health Sciences, University of GenovaDepartment of Health Sciences, University of GenovaDepartment of Health Sciences, University of GenovaIstituto Nazionale Di Fisica Nucleare (INFN)Neurocenter of Southern Switzerland, EOC, OphthalmologyNeurocenter of Southern Switzerland, EOC, NeurosurgeryNeurocenter of Southern Switzerland, EOC, NeuroradiologyFaculty of Biomedical Sciences, Università Della Svizzera ItalianaFaculty of Biomedical Sciences, Università Della Svizzera ItalianaFaculty of Biomedical Sciences, Università Della Svizzera ItalianaAbstract Anterior Visual Pathway (aVP) damage may be linked to diverse inflammatory, degenerative and/or vascular conditions. Currently however, a standardized methodological framework for extracting MRI biomarkers of the aVP is not available. We used high-resolution, 3-D MRI data to generate a probabilistic anatomical atlas of the normal aVP and its intraorbital (iOrb), intracanalicular (iCan), intracranial (iCran), optic chiasm (OC), and tract (OT) subdivisions. We acquired 0.6 mm3 steady-state free-precession images from 24 healthy participants using a 3 T scanner. aVP masks were obtained by manual segmentation of each aVP subdivision. Mask straightening and normalization with cross-sectional area (CSA) preservation were obtained using scripts developed in-house. A probabilistic atlas (“aVP-24”) was generated by averaging left and right sides of all subjects. Leave-one-out cross-validation with respect to interindividual variability was performed employing the Dice Similarity Index (DSI). Spatially normalized representations of the aVP subdivisions were generated. Overlapping CSA values before and after normalization demonstrate preservation of the aVP cross-section. Volume, length, CSA, and ellipticity index (ε) biometrics were extracted. The aVP-24 morphology followed previous descriptions from the gross anatomy. Atlas spatial validation DSI scores of 0.85 in 50% and 0.77 in 95% of participants indicated good generalizability across the subjects. The proposed MRI standardization framework allows for previously unavailable, geometrically unbiased biometric data of the entire aVP and provides the base for future spatial-resolved, group-level investigations.https://doi.org/10.1038/s41598-023-50980-x |
| spellingShingle | Emanuele Pravatà Andrea Diociasi Riccardo Navarra Luca Carmisciano Maria Pia Sormani Luca Roccatagliata Andrea Chincarini Alessandra Ossola Andrea Cardia Alessandro Cianfoni Alain Kaelin-Lang Claudio Gobbi Chiara Zecca Biometry extraction and probabilistic anatomical atlas of the anterior Visual Pathway using dedicated high-resolution 3-D MRI Scientific Reports |
| title | Biometry extraction and probabilistic anatomical atlas of the anterior Visual Pathway using dedicated high-resolution 3-D MRI |
| title_full | Biometry extraction and probabilistic anatomical atlas of the anterior Visual Pathway using dedicated high-resolution 3-D MRI |
| title_fullStr | Biometry extraction and probabilistic anatomical atlas of the anterior Visual Pathway using dedicated high-resolution 3-D MRI |
| title_full_unstemmed | Biometry extraction and probabilistic anatomical atlas of the anterior Visual Pathway using dedicated high-resolution 3-D MRI |
| title_short | Biometry extraction and probabilistic anatomical atlas of the anterior Visual Pathway using dedicated high-resolution 3-D MRI |
| title_sort | biometry extraction and probabilistic anatomical atlas of the anterior visual pathway using dedicated high resolution 3 d mri |
| url | https://doi.org/10.1038/s41598-023-50980-x |
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