Anatomically Accurate, High-Resolution Modeling of the Human Index Finger Using In Vivo Magnetic Resonance Imaging
Anatomically accurate models of a human finger can be useful in simulating various disorders. In order to have potential clinical value, such models need to include a large number of tissue types, identified by an experienced professional, and should be versatile enough to be readily tailored to spe...
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MDPI AG
2022-09-01
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Online Access: | https://www.mdpi.com/2379-139X/8/5/196 |
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author | Luka Rogelj Rok Dolenec Martina Vivoda Tomšič Elmar Laistler Urban Simončič Matija Milanič Rok Hren |
author_facet | Luka Rogelj Rok Dolenec Martina Vivoda Tomšič Elmar Laistler Urban Simončič Matija Milanič Rok Hren |
author_sort | Luka Rogelj |
collection | DOAJ |
description | Anatomically accurate models of a human finger can be useful in simulating various disorders. In order to have potential clinical value, such models need to include a large number of tissue types, identified by an experienced professional, and should be versatile enough to be readily tailored to specific pathologies. Magnetic resonance images were acquired at ultrahigh magnetic field (7 T) with a radio-frequency coil specially designed for finger imaging. Segmentation was carried out under the supervision of an experienced radiologist to accurately capture various tissue types (TTs). The final segmented model of the human index finger had a spatial resolution of 0.2 mm and included 6,809,600 voxels. In total, 15 TTs were identified: subcutis, Pacinian corpuscle, nerve, vein, artery, tendon, collateral ligament, volar plate, pulley A4, bone, cartilage, synovial cavity, joint capsule, epidermis and dermis. The model was applied to the conditions of arthritic joint, ruptured tendon and variations in the geometry of a finger. High-resolution magnetic resonance images along with careful segmentation proved useful in the construction of an anatomically accurate model of the human index finger. An example illustrating the utility of the model in biomedical applications is shown. As the model includes a number of tissue types, it may present a solid foundation for future simulations of various musculoskeletal disease processes in human joints. |
first_indexed | 2024-03-09T19:25:31Z |
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id | doaj.art-0d390bcdde034e04884d07e5f3300f6f |
institution | Directory Open Access Journal |
issn | 2379-1381 2379-139X |
language | English |
last_indexed | 2024-03-09T19:25:31Z |
publishDate | 2022-09-01 |
publisher | MDPI AG |
record_format | Article |
series | Tomography |
spelling | doaj.art-0d390bcdde034e04884d07e5f3300f6f2023-11-24T02:56:24ZengMDPI AGTomography2379-13812379-139X2022-09-01852347235910.3390/tomography8050196Anatomically Accurate, High-Resolution Modeling of the Human Index Finger Using In Vivo Magnetic Resonance ImagingLuka Rogelj0Rok Dolenec1Martina Vivoda Tomšič2Elmar Laistler3Urban Simončič4Matija Milanič5Rok Hren6Faculty of Mathematics and Physics, University of Ljubljana, 1000 Ljubljana, SloveniaFaculty of Mathematics and Physics, University of Ljubljana, 1000 Ljubljana, SloveniaUniversity Clinic of Respiratory and Allergic Diseases Golnik, 4204 Golnik, SloveniaHigh Field MR Center, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, 1090 Vienna, AustriaFaculty of Mathematics and Physics, University of Ljubljana, 1000 Ljubljana, SloveniaFaculty of Mathematics and Physics, University of Ljubljana, 1000 Ljubljana, SloveniaFaculty of Mathematics and Physics, University of Ljubljana, 1000 Ljubljana, SloveniaAnatomically accurate models of a human finger can be useful in simulating various disorders. In order to have potential clinical value, such models need to include a large number of tissue types, identified by an experienced professional, and should be versatile enough to be readily tailored to specific pathologies. Magnetic resonance images were acquired at ultrahigh magnetic field (7 T) with a radio-frequency coil specially designed for finger imaging. Segmentation was carried out under the supervision of an experienced radiologist to accurately capture various tissue types (TTs). The final segmented model of the human index finger had a spatial resolution of 0.2 mm and included 6,809,600 voxels. In total, 15 TTs were identified: subcutis, Pacinian corpuscle, nerve, vein, artery, tendon, collateral ligament, volar plate, pulley A4, bone, cartilage, synovial cavity, joint capsule, epidermis and dermis. The model was applied to the conditions of arthritic joint, ruptured tendon and variations in the geometry of a finger. High-resolution magnetic resonance images along with careful segmentation proved useful in the construction of an anatomically accurate model of the human index finger. An example illustrating the utility of the model in biomedical applications is shown. As the model includes a number of tissue types, it may present a solid foundation for future simulations of various musculoskeletal disease processes in human joints.https://www.mdpi.com/2379-139X/8/5/196segmentationhigh-resolution MRIsimulation |
spellingShingle | Luka Rogelj Rok Dolenec Martina Vivoda Tomšič Elmar Laistler Urban Simončič Matija Milanič Rok Hren Anatomically Accurate, High-Resolution Modeling of the Human Index Finger Using In Vivo Magnetic Resonance Imaging Tomography segmentation high-resolution MRI simulation |
title | Anatomically Accurate, High-Resolution Modeling of the Human Index Finger Using In Vivo Magnetic Resonance Imaging |
title_full | Anatomically Accurate, High-Resolution Modeling of the Human Index Finger Using In Vivo Magnetic Resonance Imaging |
title_fullStr | Anatomically Accurate, High-Resolution Modeling of the Human Index Finger Using In Vivo Magnetic Resonance Imaging |
title_full_unstemmed | Anatomically Accurate, High-Resolution Modeling of the Human Index Finger Using In Vivo Magnetic Resonance Imaging |
title_short | Anatomically Accurate, High-Resolution Modeling of the Human Index Finger Using In Vivo Magnetic Resonance Imaging |
title_sort | anatomically accurate high resolution modeling of the human index finger using in vivo magnetic resonance imaging |
topic | segmentation high-resolution MRI simulation |
url | https://www.mdpi.com/2379-139X/8/5/196 |
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