Generalized Automatic Probe Alignment based on 3D Ultrasound
Acquiring reproducible ultrasound images of high quality is challenging in ultrasound imaging. While physicians can rely on their experience, robot-assisted systems must be able to automatically align the ultrasound probe with the correct orientation. This paper describes a method to align the centr...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2022-07-01
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| Series: | Current Directions in Biomedical Engineering |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/cdbme-2022-0015 |
| _version_ | 1811236718558314496 |
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| author | Osburg Jonas Wulff Daniel Ernst Floris |
| author_facet | Osburg Jonas Wulff Daniel Ernst Floris |
| author_sort | Osburg Jonas |
| collection | DOAJ |
| description | Acquiring reproducible ultrasound images of high quality is challenging in ultrasound imaging. While physicians can rely on their experience, robot-assisted systems must be able to automatically align the ultrasound probe with the correct orientation. This paper describes a method to align the central axis of the probe to the surface normal at the point of contact. This is done by analyzing the area of ultrasound volumes directly below the transducer of the probe. A convolutional neural network is trained to estimate the inclination of the probe orientation towards the direction of the surface normal. Experiments on two different phantoms indicate that the mean absolute angle error between the estimated rotation and the ground truth surface normal are 5.0 ± 2.8∘. The method is able to keep the probe-surface contact continuous and the results indicate that the method is invariant to anatomical structures. |
| first_indexed | 2024-04-12T12:12:51Z |
| format | Article |
| id | doaj.art-d2818104c9194391a239dfa448c6509a |
| institution | Directory Open Access Journal |
| issn | 2364-5504 |
| language | English |
| last_indexed | 2024-04-12T12:12:51Z |
| publishDate | 2022-07-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Current Directions in Biomedical Engineering |
| spelling | doaj.art-d2818104c9194391a239dfa448c6509a2022-12-22T03:33:32ZengDe GruyterCurrent Directions in Biomedical Engineering2364-55042022-07-0181586110.1515/cdbme-2022-0015Generalized Automatic Probe Alignment based on 3D UltrasoundOsburg Jonas0Wulff Daniel1Ernst Floris2Institute for Robotics and Cognitive Systems, Ratzeburger Allee 160,Lubeck, GermanyInstitute for Robotics and Cognitive Systems, Ratzeburger Allee 160,Lubeck, GermanyInstitute for Robotics and Cognitive Systems, Ratzeburger Allee 160,Lubeck, GermanyAcquiring reproducible ultrasound images of high quality is challenging in ultrasound imaging. While physicians can rely on their experience, robot-assisted systems must be able to automatically align the ultrasound probe with the correct orientation. This paper describes a method to align the central axis of the probe to the surface normal at the point of contact. This is done by analyzing the area of ultrasound volumes directly below the transducer of the probe. A convolutional neural network is trained to estimate the inclination of the probe orientation towards the direction of the surface normal. Experiments on two different phantoms indicate that the mean absolute angle error between the estimated rotation and the ground truth surface normal are 5.0 ± 2.8∘. The method is able to keep the probe-surface contact continuous and the results indicate that the method is invariant to anatomical structures.https://doi.org/10.1515/cdbme-2022-0015robot guided ultrasoundconvolutional neural network |
| spellingShingle | Osburg Jonas Wulff Daniel Ernst Floris Generalized Automatic Probe Alignment based on 3D Ultrasound Current Directions in Biomedical Engineering robot guided ultrasound convolutional neural network |
| title | Generalized Automatic Probe Alignment based on 3D Ultrasound |
| title_full | Generalized Automatic Probe Alignment based on 3D Ultrasound |
| title_fullStr | Generalized Automatic Probe Alignment based on 3D Ultrasound |
| title_full_unstemmed | Generalized Automatic Probe Alignment based on 3D Ultrasound |
| title_short | Generalized Automatic Probe Alignment based on 3D Ultrasound |
| title_sort | generalized automatic probe alignment based on 3d ultrasound |
| topic | robot guided ultrasound convolutional neural network |
| url | https://doi.org/10.1515/cdbme-2022-0015 |
| work_keys_str_mv | AT osburgjonas generalizedautomaticprobealignmentbasedon3dultrasound AT wulffdaniel generalizedautomaticprobealignmentbasedon3dultrasound AT ernstfloris generalizedautomaticprobealignmentbasedon3dultrasound |