Automatic Orientation Estimation of Inertial Sensors in C-Arm CT Projections
To obtain CT images of the knee joint in a more lifelike position, data acquisition can be performed with patients in standing rather than in lying position. However, in that situation, people tend to show involuntary motion. One possibility to compensate for that motion is the use of Inertial Measu...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2019-09-01
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| Series: | Current Directions in Biomedical Engineering |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/cdbme-2019-0050 |
| _version_ | 1811194145400684544 |
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| author | Thies Mareike Maier Jennifer Eskofier Björn Maier Andreas Levenston Marc Gold Garry Fahrig Rebecca |
| author_facet | Thies Mareike Maier Jennifer Eskofier Björn Maier Andreas Levenston Marc Gold Garry Fahrig Rebecca |
| author_sort | Thies Mareike |
| collection | DOAJ |
| description | To obtain CT images of the knee joint in a more lifelike position, data acquisition can be performed with patients in standing rather than in lying position. However, in that situation, people tend to show involuntary motion. One possibility to compensate for that motion is the use of Inertial Measurement Units, that capture the accelerations during the scan. For this purpose, their local coordinate system needs to be known. An estimation based on the SIFT algorithm was implemented and compared to an existing approach that uses the Fast Radial Symmetry transform and to expert labels for evaluation. The SIFT method showed to be superior to the existing approach as it could extract stable feature points from the projections that were used to estimate the three-dimensional coordinate system in a reliable manner. The final algorithm achieved a mean euclidean distance of 2.61 mm between the calculated position of the origin and the assumed ground truth by the expert labels. |
| first_indexed | 2024-04-12T00:21:00Z |
| format | Article |
| id | doaj.art-3d2bdce6ad0248c6a6f7fd2d5af0179d |
| institution | Directory Open Access Journal |
| issn | 2364-5504 |
| language | English |
| last_indexed | 2024-04-12T00:21:00Z |
| publishDate | 2019-09-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Current Directions in Biomedical Engineering |
| spelling | doaj.art-3d2bdce6ad0248c6a6f7fd2d5af0179d2022-12-22T03:55:43ZengDe GruyterCurrent Directions in Biomedical Engineering2364-55042019-09-015119519810.1515/cdbme-2019-0050cdbme-2019-0050Automatic Orientation Estimation of Inertial Sensors in C-Arm CT ProjectionsThies Mareike0Maier Jennifer1Eskofier Björn2Maier Andreas3Levenston Marc4Gold Garry5Fahrig Rebecca6Friedrich-Alexander-Universität Erlangen-Nürnberg,Erlangen, GermanyFriedrich-Alexander-Universitat Erlangen-Nurnberg,Erlangen, GermanyFriedrich-Alexander-Universitat Erlangen-Nurnberg,Erlangen, GermanyFriedrich-Alexander-Universitat Erlangen-Nurnberg,Erlangen, GermanyStanford University,Stanford, USAStanford University,Stanford, USASiemens Healthcare GmbH,Erlangen, GermanyTo obtain CT images of the knee joint in a more lifelike position, data acquisition can be performed with patients in standing rather than in lying position. However, in that situation, people tend to show involuntary motion. One possibility to compensate for that motion is the use of Inertial Measurement Units, that capture the accelerations during the scan. For this purpose, their local coordinate system needs to be known. An estimation based on the SIFT algorithm was implemented and compared to an existing approach that uses the Fast Radial Symmetry transform and to expert labels for evaluation. The SIFT method showed to be superior to the existing approach as it could extract stable feature points from the projections that were used to estimate the three-dimensional coordinate system in a reliable manner. The final algorithm achieved a mean euclidean distance of 2.61 mm between the calculated position of the origin and the assumed ground truth by the expert labels.https://doi.org/10.1515/cdbme-2019-0050computed tomographyfeature extractionmotion compensated reconstructionsift |
| spellingShingle | Thies Mareike Maier Jennifer Eskofier Björn Maier Andreas Levenston Marc Gold Garry Fahrig Rebecca Automatic Orientation Estimation of Inertial Sensors in C-Arm CT Projections Current Directions in Biomedical Engineering computed tomography feature extraction motion compensated reconstruction sift |
| title | Automatic Orientation Estimation of Inertial Sensors in C-Arm CT Projections |
| title_full | Automatic Orientation Estimation of Inertial Sensors in C-Arm CT Projections |
| title_fullStr | Automatic Orientation Estimation of Inertial Sensors in C-Arm CT Projections |
| title_full_unstemmed | Automatic Orientation Estimation of Inertial Sensors in C-Arm CT Projections |
| title_short | Automatic Orientation Estimation of Inertial Sensors in C-Arm CT Projections |
| title_sort | automatic orientation estimation of inertial sensors in c arm ct projections |
| topic | computed tomography feature extraction motion compensated reconstruction sift |
| url | https://doi.org/10.1515/cdbme-2019-0050 |
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