Adaptive ultrasound imaging of the lumbar spine for guidance of epidural anesthesia |
| |
| Authors: | Denis Tran King-Wei Hor Victoria A. Lessoway Allaudin A. Kamani Robert N. Rohling |
| |
| Affiliation: | 1. Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, BC, Canada;2. Department of Ultrasound, British Columbia Women''s Hospital and Health Centre, Vancouver, BC, Canada;3. Department of Anesthesiology, Pharmacology and Therapeutics, University of British Columbia, Vancouver, BC, Canada;4. Department of Mechanical Engineering, University of British Columbia, Vancouver, BC, Canada;1. Laboratory for Percutaneous Surgery, School of Computing, Queen''s University, Kingston, Ontario, Canada;2. Department of Surgery, School of Medicine, Queen’s University, Kingston, Ontario, Canada;3. Medical Informatics Laboratory, School of Computing, Queen’s University, Kingston, Ontario, Canada;1. Department of Orthopaedic Surgery, Emory University, Atlanta, GA;2. Department of Radiology, Emory University, Atlanta, GA;1. Department of Physical Medicine and Rehabilitation, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL 32224, USA;2. Department of Pain Medicine, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL 32224, USA;1. Department of Physical Medicine and Rehabilitation, National Taiwan University Hospital, Bei-Hu Branch and National Taiwan University College of Medicine, 87 Neijiang Street, Wanhua, Taipei City 108, Taiwan;2. Department of Physical and Rehabilitation Medicine, Hacettepe University Medical School, Hacettepe Üniversitesi T?p Fakültesi Hastaneleri Zemin Kat FTR AD, S?hh?ye, Ankara 06100, Turkey |
| |
| Abstract: | Ultrasound imaging can help in choosing the needle trajectory for epidural anesthesia but anatomical features are not always clear. Spatial compounding can emphasize structures; however, features in the beam-steered images are not aligned due to varying speeds of sound. A non-rigid registration method, called warping, shifts pixels of the beam-steered images to best match the reference image. Linear prediction is used to find the warping vectors and decrease computational cost. An adaptive median-based combination technique for compounding is also investigated. The algorithms are tested on a spine phantom and human subjects. The results show a significant improvement in quality when using warping with adaptive median-based compounding. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
