详细信息
- 来源站点
- ArXiv CS.CV
- 作者
- Yu Chung Lee, David G. Black, Ryan S. Yeung, Septimiu E. Salcudean
- 文章类型
- PAPER
- 语言
- en
- 发布日期
- 2026-08-03
摘要
arXiv:2603.11257v2 Announce Type: replace Abstract: Cardiac and lung ultrasound are technically demanding because operators must identify patient-specific intercostal acoustic windows and then navigate between standard views by adjusting probe position, rotation, and force across different imaging planes. These challenges are amplified in teleultrasound, where the examination proceeds without in-person expert assistance: once the probe is approximately positioned, the expert can navigate in ultrasound image space, but guiding the initial placement remotely remains difficult given the limited 3D perception of the patient. We present a framework for automating patient registration and anatomy-informed initial probe placement guidance (PIPG) using RGB images obtained from a calibrated camera and a point cloud accumulated from depth images.