Abstract
We propose a consistent ultrasound volume stitching framework, with the intention to produce a volume with higher image quality and extended field-of-view in this work. Directly using pair-wise registrations for stitching may lead to geometric errors. Therefore, we propose an approach to improve the image alignment by optimizing a consistency metric over multiple pairwise registrations. In the optimization, we utilize transformed points to effectively compute a distance between rigid transformations. The method has been evaluated on synthetic, phantom and clinical data. The results indicate that our transformation optimization method is effective and our stitching framework has a good geometric precision. Also, the compound images have been demonstrated to have improved CNR values.
Original language | English |
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Title of host publication | Proceedings of SPIE : Medical Imaging 2020 |
Subtitle of host publication | Image-Guided Procedures, Robotic Interventions, and Modeling |
Editors | Baowei Fei, Cristian A. Linte |
Publisher | SPIE |
Number of pages | 8 |
Volume | 11315 |
ISBN (Electronic) | 9781510633971 |
DOIs | |
Publication status | Published - 2020 |
Event | Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and Modeling - Houston, United States Duration: 16 Feb 2020 → 19 Feb 2020 |
Conference
Conference | Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and Modeling |
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Country/Territory | United States |
City | Houston |
Period | 16/02/20 → 19/02/20 |
Keywords
- 3D Ultrasound
- Liver
- Stitching
- Ultrasound guided intervention