A Data-Driven Approach for Assembling Intertrochanteric Fractures by Axis-Position Alignment
In clinics, the reduction of femoral intertrochanteric fractures should meet the medical demands of both axis alignment and position alignment. State-of-the-art approaches are designed for merely position alignment, not allowing for axis alignment. The axis-position alignment can be formulated as a...
| Main Authors: | , , , , , , |
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| Format: | Article |
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IEEE
2020-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9149603/ |
| _version_ | 1818930564782096384 |
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| author | Ziyue Deng Junfeng Jiang Hongwei Liu Zhengming Cheng Rui Huang Wenxi Zhang Kunjin He |
| author_facet | Ziyue Deng Junfeng Jiang Hongwei Liu Zhengming Cheng Rui Huang Wenxi Zhang Kunjin He |
| author_sort | Ziyue Deng |
| collection | DOAJ |
| description | In clinics, the reduction of femoral intertrochanteric fractures should meet the medical demands of both axis alignment and position alignment. State-of-the-art approaches are designed for merely position alignment, not allowing for axis alignment. The axis-position alignment can be formulated as a least square optimization problem with the inequality constraints. The main challenges include how to solve this constrained optimization problem and effectively extract the semantic of the randomly fractured bone pieces. To address these problems, a semi-automatic data-driven method is introduced. First, the medical semantic parameters are computed, at the beginning of when the 3D input pieces' anatomical areas are labeled by using the deep neural network. A statistical shape model is leveraged to generate the synthetic training data so as to learn the anatomical landmarks of the pieces, greatly reducing the labeling costs for training. The final reduction position of the pieces is obtained through iterative axis alignment and position alignment. Our method is evaluated by three baselines, i.e., the manual assembly of the orthopaedic specialists and two typical bone assembling methods. The presented method solves an optimization problem for assembling intertrochanteric fracture by axis-position alignment. All cases can be successfully assembled with the developed algorithm which is proved to be capable of reaching the clinical demand. |
| first_indexed | 2024-12-20T04:02:42Z |
| format | Article |
| id | doaj.art-a885832f2e6b4b708e9d4f2dab3d67a0 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-20T04:02:42Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-a885832f2e6b4b708e9d4f2dab3d67a02022-12-21T19:54:08ZengIEEEIEEE Access2169-35362020-01-01813754913756310.1109/ACCESS.2020.30120479149603A Data-Driven Approach for Assembling Intertrochanteric Fractures by Axis-Position AlignmentZiyue Deng0https://orcid.org/0000-0003-2216-3380Junfeng Jiang1https://orcid.org/0000-0001-5357-7127Hongwei Liu2https://orcid.org/0000-0002-0298-3149Zhengming Cheng3https://orcid.org/0000-0002-5763-1503Rui Huang4https://orcid.org/0000-0001-8430-0227Wenxi Zhang5https://orcid.org/0000-0002-8863-4838Kunjin He6https://orcid.org/0000-0002-0843-858XCollege of Computer Science, Hohai University, Nanjing, ChinaCollege of IOT Engineering, Hohai University, Changzhou, ChinaDepartment of Orthopaedics, The Second People’s Hospital of Changzhou, Changzhou, ChinaCollege of IOT Engineering, Hohai University, Changzhou, ChinaCollege of IOT Engineering, Hohai University, Changzhou, ChinaDepartment of Orthopaedics, The People’s Hospital of Liyang, Changzhou, ChinaCollege of IOT Engineering, Hohai University, Changzhou, ChinaIn clinics, the reduction of femoral intertrochanteric fractures should meet the medical demands of both axis alignment and position alignment. State-of-the-art approaches are designed for merely position alignment, not allowing for axis alignment. The axis-position alignment can be formulated as a least square optimization problem with the inequality constraints. The main challenges include how to solve this constrained optimization problem and effectively extract the semantic of the randomly fractured bone pieces. To address these problems, a semi-automatic data-driven method is introduced. First, the medical semantic parameters are computed, at the beginning of when the 3D input pieces' anatomical areas are labeled by using the deep neural network. A statistical shape model is leveraged to generate the synthetic training data so as to learn the anatomical landmarks of the pieces, greatly reducing the labeling costs for training. The final reduction position of the pieces is obtained through iterative axis alignment and position alignment. Our method is evaluated by three baselines, i.e., the manual assembly of the orthopaedic specialists and two typical bone assembling methods. The presented method solves an optimization problem for assembling intertrochanteric fracture by axis-position alignment. All cases can be successfully assembled with the developed algorithm which is proved to be capable of reaching the clinical demand.https://ieeexplore.ieee.org/document/9149603/3D modelintertrochanteric fracturefracture reductiondata-drivenaxis-position alignment |
| spellingShingle | Ziyue Deng Junfeng Jiang Hongwei Liu Zhengming Cheng Rui Huang Wenxi Zhang Kunjin He A Data-Driven Approach for Assembling Intertrochanteric Fractures by Axis-Position Alignment IEEE Access 3D model intertrochanteric fracture fracture reduction data-driven axis-position alignment |
| title | A Data-Driven Approach for Assembling Intertrochanteric Fractures by Axis-Position Alignment |
| title_full | A Data-Driven Approach for Assembling Intertrochanteric Fractures by Axis-Position Alignment |
| title_fullStr | A Data-Driven Approach for Assembling Intertrochanteric Fractures by Axis-Position Alignment |
| title_full_unstemmed | A Data-Driven Approach for Assembling Intertrochanteric Fractures by Axis-Position Alignment |
| title_short | A Data-Driven Approach for Assembling Intertrochanteric Fractures by Axis-Position Alignment |
| title_sort | data driven approach for assembling intertrochanteric fractures by axis position alignment |
| topic | 3D model intertrochanteric fracture fracture reduction data-driven axis-position alignment |
| url | https://ieeexplore.ieee.org/document/9149603/ |
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