A Framework of State Estimation on Laminar Grinding Based on the CT Image–Force Model
It is a great challenge for a safe surgery to localize the cutting tip during laminar grinding. To address this problem, we develop a framework of state estimation based on the CT image–force model. For the proposed framework, the pre-operative CT image and intra-operative milling force signal work...
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MDPI AG
2025-01-01
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| Online Access: | https://www.mdpi.com/1424-8220/25/1/238 |
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| author | Jihao Liu Guoyan Zheng Weixin Yan |
| author_facet | Jihao Liu Guoyan Zheng Weixin Yan |
| author_sort | Jihao Liu |
| collection | DOAJ |
| description | It is a great challenge for a safe surgery to localize the cutting tip during laminar grinding. To address this problem, we develop a framework of state estimation based on the CT image–force model. For the proposed framework, the pre-operative CT image and intra-operative milling force signal work as source inputs. In the framework, a bone milling force prediction model is built, and the surgical planned paths can be transformed into the prediction sequences of milling force. The intra-operative milling force signal is segmented by the tumbling window algorithm. Then, the similarity between the prediction sequences and the segmented milling signal is derived by the dynamic time warping (DTW) algorithm. The derived similarity indicates the position of the cutting tip. Finally, to overcome influences of some factors, we used the random sample consensus (RANSAC). The code of the functional simulations has be opened. |
| format | Article |
| id | doaj-art-7ea932899fb845aaae01893c9f545187 |
| institution | Kabale University |
| issn | 1424-8220 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-7ea932899fb845aaae01893c9f5451872025-01-10T13:21:19ZengMDPI AGSensors1424-82202025-01-0125123810.3390/s25010238A Framework of State Estimation on Laminar Grinding Based on the CT Image–Force ModelJihao Liu0Guoyan Zheng1Weixin Yan2State Key Laboratory of Ocean Engineering, School of Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, ChinaInstitute of Medical Robotics, School of Medical Engineering, Shanghai Jiao Tong University, Shanghai 200240, ChinaInstitute of Robotics, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, ChinaIt is a great challenge for a safe surgery to localize the cutting tip during laminar grinding. To address this problem, we develop a framework of state estimation based on the CT image–force model. For the proposed framework, the pre-operative CT image and intra-operative milling force signal work as source inputs. In the framework, a bone milling force prediction model is built, and the surgical planned paths can be transformed into the prediction sequences of milling force. The intra-operative milling force signal is segmented by the tumbling window algorithm. Then, the similarity between the prediction sequences and the segmented milling signal is derived by the dynamic time warping (DTW) algorithm. The derived similarity indicates the position of the cutting tip. Finally, to overcome influences of some factors, we used the random sample consensus (RANSAC). The code of the functional simulations has be opened.https://www.mdpi.com/1424-8220/25/1/238state estimationCT imagemilling force prediction |
| spellingShingle | Jihao Liu Guoyan Zheng Weixin Yan A Framework of State Estimation on Laminar Grinding Based on the CT Image–Force Model Sensors state estimation CT image milling force prediction |
| title | A Framework of State Estimation on Laminar Grinding Based on the CT Image–Force Model |
| title_full | A Framework of State Estimation on Laminar Grinding Based on the CT Image–Force Model |
| title_fullStr | A Framework of State Estimation on Laminar Grinding Based on the CT Image–Force Model |
| title_full_unstemmed | A Framework of State Estimation on Laminar Grinding Based on the CT Image–Force Model |
| title_short | A Framework of State Estimation on Laminar Grinding Based on the CT Image–Force Model |
| title_sort | framework of state estimation on laminar grinding based on the ct image force model |
| topic | state estimation CT image milling force prediction |
| url | https://www.mdpi.com/1424-8220/25/1/238 |
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