Multi-Modal Data Correspondence for the 4D Analysis of the Spine with Adolescent Idiopathic Scoliosis
Adolescent idiopathic scoliosis is a three-dimensional spinal deformity that evolves during adolescence. Combined with static 3D X-ray acquisitions, novel approaches using motion capture allow for the analysis of the patient dynamics. However, as of today, they cannot provide an internal analysis of...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-07-01
|
| Series: | Bioengineering |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2306-5354/10/7/874 |
| _version_ | 1797590267207876608 |
|---|---|
| author | Nicolas Comte Sergi Pujades Aurélien Courvoisier Olivier Daniel Jean-Sébastien Franco François Faure Edmond Boyer |
| author_facet | Nicolas Comte Sergi Pujades Aurélien Courvoisier Olivier Daniel Jean-Sébastien Franco François Faure Edmond Boyer |
| author_sort | Nicolas Comte |
| collection | DOAJ |
| description | Adolescent idiopathic scoliosis is a three-dimensional spinal deformity that evolves during adolescence. Combined with static 3D X-ray acquisitions, novel approaches using motion capture allow for the analysis of the patient dynamics. However, as of today, they cannot provide an internal analysis of the spine in motion. In this study, we investigated the use of personalized kinematic avatars, created with observations of the outer (skin) and internal shape (3D spine) to infer the actual anatomic dynamics of the spine when driven by motion capture markers. Towards that end, we propose an approach to create a subject-specific digital twin from multi-modal data, namely, a surface scan of the back of the patient and a reconstruction of the 3D spine (EOS). We use radio-opaque markers to register the inner and outer observations. With respect to the previous work, our method does not rely on a precise palpation for the placement of the markers. We present the preliminary results on two cases, for which we acquired a second biplanar X-ray in a bending position. Our model can infer the spine motion from mocap markers with an accuracy below 1 cm on each anatomical axis and near 5 degrees in orientations. |
| first_indexed | 2024-03-11T01:18:08Z |
| format | Article |
| id | doaj.art-f3105314990a484381115bc13cb59c3e |
| institution | Directory Open Access Journal |
| issn | 2306-5354 |
| language | English |
| last_indexed | 2024-03-11T01:18:08Z |
| publishDate | 2023-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Bioengineering |
| spelling | doaj.art-f3105314990a484381115bc13cb59c3e2023-11-18T18:22:33ZengMDPI AGBioengineering2306-53542023-07-0110787410.3390/bioengineering10070874Multi-Modal Data Correspondence for the 4D Analysis of the Spine with Adolescent Idiopathic ScoliosisNicolas Comte0Sergi Pujades1Aurélien Courvoisier2Olivier Daniel3Jean-Sébastien Franco4François Faure5Edmond Boyer6Anatoscope, 38330 Montbonnot-Saint-Martin, FranceInria, Université Grenoble Alpes, CNRS, Grenoble INP, LJK, 38000 Grenoble, FranceTIMC-IMAG, University Grenoble Alpes, CNRS, UMR 5525, VetAgro Sup, Grenoble INP, CHU Grenoble Alpes, 38000 Grenoble, FranceTIMC-IMAG, University Grenoble Alpes, CNRS, UMR 5525, VetAgro Sup, Grenoble INP, CHU Grenoble Alpes, 38000 Grenoble, FranceInria, Université Grenoble Alpes, CNRS, Grenoble INP, LJK, 38000 Grenoble, FranceAnatoscope, 38330 Montbonnot-Saint-Martin, FranceInria, Université Grenoble Alpes, CNRS, Grenoble INP, LJK, 38000 Grenoble, FranceAdolescent idiopathic scoliosis is a three-dimensional spinal deformity that evolves during adolescence. Combined with static 3D X-ray acquisitions, novel approaches using motion capture allow for the analysis of the patient dynamics. However, as of today, they cannot provide an internal analysis of the spine in motion. In this study, we investigated the use of personalized kinematic avatars, created with observations of the outer (skin) and internal shape (3D spine) to infer the actual anatomic dynamics of the spine when driven by motion capture markers. Towards that end, we propose an approach to create a subject-specific digital twin from multi-modal data, namely, a surface scan of the back of the patient and a reconstruction of the 3D spine (EOS). We use radio-opaque markers to register the inner and outer observations. With respect to the previous work, our method does not rely on a precise palpation for the placement of the markers. We present the preliminary results on two cases, for which we acquired a second biplanar X-ray in a bending position. Our model can infer the spine motion from mocap markers with an accuracy below 1 cm on each anatomical axis and near 5 degrees in orientations.https://www.mdpi.com/2306-5354/10/7/874motion captureidiopathic scoliosiskinematicsspinesubject-specific modeling |
| spellingShingle | Nicolas Comte Sergi Pujades Aurélien Courvoisier Olivier Daniel Jean-Sébastien Franco François Faure Edmond Boyer Multi-Modal Data Correspondence for the 4D Analysis of the Spine with Adolescent Idiopathic Scoliosis Bioengineering motion capture idiopathic scoliosis kinematics spine subject-specific modeling |
| title | Multi-Modal Data Correspondence for the 4D Analysis of the Spine with Adolescent Idiopathic Scoliosis |
| title_full | Multi-Modal Data Correspondence for the 4D Analysis of the Spine with Adolescent Idiopathic Scoliosis |
| title_fullStr | Multi-Modal Data Correspondence for the 4D Analysis of the Spine with Adolescent Idiopathic Scoliosis |
| title_full_unstemmed | Multi-Modal Data Correspondence for the 4D Analysis of the Spine with Adolescent Idiopathic Scoliosis |
| title_short | Multi-Modal Data Correspondence for the 4D Analysis of the Spine with Adolescent Idiopathic Scoliosis |
| title_sort | multi modal data correspondence for the 4d analysis of the spine with adolescent idiopathic scoliosis |
| topic | motion capture idiopathic scoliosis kinematics spine subject-specific modeling |
| url | https://www.mdpi.com/2306-5354/10/7/874 |
| work_keys_str_mv | AT nicolascomte multimodaldatacorrespondenceforthe4danalysisofthespinewithadolescentidiopathicscoliosis AT sergipujades multimodaldatacorrespondenceforthe4danalysisofthespinewithadolescentidiopathicscoliosis AT aureliencourvoisier multimodaldatacorrespondenceforthe4danalysisofthespinewithadolescentidiopathicscoliosis AT olivierdaniel multimodaldatacorrespondenceforthe4danalysisofthespinewithadolescentidiopathicscoliosis AT jeansebastienfranco multimodaldatacorrespondenceforthe4danalysisofthespinewithadolescentidiopathicscoliosis AT francoisfaure multimodaldatacorrespondenceforthe4danalysisofthespinewithadolescentidiopathicscoliosis AT edmondboyer multimodaldatacorrespondenceforthe4danalysisofthespinewithadolescentidiopathicscoliosis |