Needle Tip Force Estimation Using an OCT Fiber and a Fused convGRU-CNN Architecture
| Autor: | Nils Gessert, Torben Priegnitz, Klaus Peter Jünemann, Alexander Schlaefer, Moritz Franz Hamann, Christoph Otte, Sven-Thomas Antoni, David Meyer, Thore Saathoff |
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| Rok vydání: | 2018 |
| Předmět: |
medicine.diagnostic_test
Computer science medicine.medical_treatment 010401 analytical chemistry Brachytherapy Soft tissue Deformation (meteorology) 01 natural sciences 030218 nuclear medicine & medical imaging 0104 chemical sciences 03 medical and health sciences 0302 clinical medicine medicine.anatomical_structure Optical coherence tomography Prostate Biopsy medicine Needle placement Calibration Needle insertion Fiber Biomedical engineering |
| Zdroj: | Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 ISBN: 9783030009366 MICCAI (4) |
| DOI: | 10.1007/978-3-030-00937-3_26 |
| Popis: | Needle insertion is common during minimally invasive interventions such as biopsy or brachytherapy. During soft tissue needle insertion, forces acting at the needle tip cause tissue deformation and needle deflection. Accurate needle tip force measurement provides information on needle-tissue interaction and helps detecting and compensating potential misplacement. For this purpose we introduce an image-based needle tip force estimation method using an optical fiber imaging the deformation of an epoxy layer below the needle tip over time. For calibration and force estimation, we introduce a novel deep learning-based fused convolutional GRU-CNN model which effectively exploits the spatio-temporal data structure. The needle is easy to manufacture and our model achieves a mean absolute error of \(1.76\,\pm \,1.5\) mN with a cross-correlation coefficient of 0.9996, clearly outperforming other methods. We test needles with different materials to demonstrate that the approach can be adapted for different sensitivities and force ranges. Furthermore, we validate our approach in an ex-vivo prostate needle insertion scenario. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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