Contrast-Based 3D/2D Registration of the Left Atrium: Fast versus Consistent
For augmented fluoroscopy during cardiac ablation, a preoperatively acquired 3D model of a patient’s left atrium (LA) can be registered to X-ray images recorded during a contrast agent (CA) injection. An automatic registration method that works also for small amounts of CA is desired. We propose two...
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| Format: | Article |
| Language: | English |
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Wiley
2016-01-01
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| Series: | International Journal of Biomedical Imaging |
| Online Access: | http://dx.doi.org/10.1155/2016/7690391 |
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| _version_ | 1832548765168304128 |
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| author | Matthias Hoffmann Christopher Kowalewski Andreas Maier Klaus Kurzidim Norbert Strobel Joachim Hornegger |
| author_facet | Matthias Hoffmann Christopher Kowalewski Andreas Maier Klaus Kurzidim Norbert Strobel Joachim Hornegger |
| author_sort | Matthias Hoffmann |
| collection | DOAJ |
| description | For augmented fluoroscopy during cardiac ablation, a preoperatively acquired 3D model of a patient’s left atrium (LA) can be registered to X-ray images recorded during a contrast agent (CA) injection. An automatic registration method that works also for small amounts of CA is desired. We propose two similarity measures: The first focuses on edges of the patient anatomy. The second computes a contrast agent distribution estimate (CADE) inside the 3D model and rates its consistency with the CA as seen in biplane fluoroscopic images. Moreover, temporal filtering on the obtained registration results of a sequence is applied using a Markov chain framework. Evaluation was performed on 11 well-contrasted clinical angiographic sequences and 10 additional sequences with less CA. For well-contrasted sequences, the error for all 73 frames was 7.9 ± 6.3 mm and it dropped to 4.6 ± 4.0 mm when registering to an automatically selected, well enhanced frame in each sequence. Temporal filtering reduced the error for all frames from 7.9 ± 6.3 mm to 5.7 ± 4.6 mm. The error was typically higher if less CA was used. A combination of both similarity measures outperforms a previously proposed similarity measure. The mean accuracy for well contrasted sequences is in the range of other proposed manual registration methods. |
| format | Article |
| id | doaj-art-6136eddbb4af43d3b33843a56a0d575a |
| institution | Kabale University |
| issn | 1687-4188 1687-4196 |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Biomedical Imaging |
| spelling | doaj-art-6136eddbb4af43d3b33843a56a0d575a2025-02-03T06:13:07ZengWileyInternational Journal of Biomedical Imaging1687-41881687-41962016-01-01201610.1155/2016/76903917690391Contrast-Based 3D/2D Registration of the Left Atrium: Fast versus ConsistentMatthias Hoffmann0Christopher Kowalewski1Andreas Maier2Klaus Kurzidim3Norbert Strobel4Joachim Hornegger5Pattern Recognition Lab, Friedrich-Alexander-University Erlangen-Nuremberg, 91058 Erlangen, GermanyCardiac Arrhythmia Service, Hospital Barmherzige Brueder, 93049 Regensburg, GermanyPattern Recognition Lab, Friedrich-Alexander-University Erlangen-Nuremberg, 91058 Erlangen, GermanyCardiac Arrhythmia Service, Hospital Barmherzige Brueder, 93049 Regensburg, GermanySiemens Healthcare GmbH, 91301 Forchheim, GermanyPattern Recognition Lab, Friedrich-Alexander-University Erlangen-Nuremberg, 91058 Erlangen, GermanyFor augmented fluoroscopy during cardiac ablation, a preoperatively acquired 3D model of a patient’s left atrium (LA) can be registered to X-ray images recorded during a contrast agent (CA) injection. An automatic registration method that works also for small amounts of CA is desired. We propose two similarity measures: The first focuses on edges of the patient anatomy. The second computes a contrast agent distribution estimate (CADE) inside the 3D model and rates its consistency with the CA as seen in biplane fluoroscopic images. Moreover, temporal filtering on the obtained registration results of a sequence is applied using a Markov chain framework. Evaluation was performed on 11 well-contrasted clinical angiographic sequences and 10 additional sequences with less CA. For well-contrasted sequences, the error for all 73 frames was 7.9 ± 6.3 mm and it dropped to 4.6 ± 4.0 mm when registering to an automatically selected, well enhanced frame in each sequence. Temporal filtering reduced the error for all frames from 7.9 ± 6.3 mm to 5.7 ± 4.6 mm. The error was typically higher if less CA was used. A combination of both similarity measures outperforms a previously proposed similarity measure. The mean accuracy for well contrasted sequences is in the range of other proposed manual registration methods.http://dx.doi.org/10.1155/2016/7690391 |
| spellingShingle | Matthias Hoffmann Christopher Kowalewski Andreas Maier Klaus Kurzidim Norbert Strobel Joachim Hornegger Contrast-Based 3D/2D Registration of the Left Atrium: Fast versus Consistent International Journal of Biomedical Imaging |
| title | Contrast-Based 3D/2D Registration of the Left Atrium: Fast versus Consistent |
| title_full | Contrast-Based 3D/2D Registration of the Left Atrium: Fast versus Consistent |
| title_fullStr | Contrast-Based 3D/2D Registration of the Left Atrium: Fast versus Consistent |
| title_full_unstemmed | Contrast-Based 3D/2D Registration of the Left Atrium: Fast versus Consistent |
| title_short | Contrast-Based 3D/2D Registration of the Left Atrium: Fast versus Consistent |
| title_sort | contrast based 3d 2d registration of the left atrium fast versus consistent |
| url | http://dx.doi.org/10.1155/2016/7690391 |
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