## Abstract ## Purpose To estimate the accuracy and consistency of a method using a voxel‐based MR image registration algorithm for precise monitoring of knee joint diseases. ## Materials and Methods Rigid body transformation was calculated using a normalized cross‐correlation (NCC) algorithm in
Accuracy of ultrasound to MR registration of the knee
✍ Scribed by PE Murtha; N Watterson; C Nikou; B Jaramaz
- Book ID
- 104583187
- Publisher
- Wiley (Robotic Publications)
- Year
- 2008
- Tongue
- English
- Weight
- 316 KB
- Volume
- 4
- Category
- Article
- ISSN
- 1478-5951
- DOI
- 10.1002/rcs.170
No coin nor oath required. For personal study only.
✦ Synopsis
Abstract
Background
Ultrasound‐based registration to 3D surfaces segmented from MR imaging is proposed as a non‐invasive alternative to point‐based registration for image‐guided surgery. By relying upon diagnostic MR imaging, the expense of additional CT imaging (and exposure to radiation) is avoided. The technique would enable navigation in arthroscopic and other minimally invasive procedures.
Methods
Optically tracked registrations using point‐based and ultrasound‐based methods to MR and CT imaging volumes for two cadaveric specimens were acquired and analysed.
Results
The average RMS distance between fiducials was 0.27 mm for CT and 0.72 mm for MR utilizing point‐based registration. The average RMS distance for ultrasound‐based registration to CT was 0.59 mm and 0.76 mm to MR. The RMS distance for fiducials co‐located in MR and CT imaging volumes was 0.74 mm. The end‐to‐end error of ultrasound registration to MR imaging was 2.98 mm, as compared to 1.65 mm for CT.
Conclusions
Ultrasound registration to MR imaging data is a viable non‐invasive alternative to point‐based registration. Copyright © 2008 John Wiley & Sons, Ltd.
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