Paper Info
Title
A mutual-information-based registration algorithm for ultrasound-guided computer-assisted orthopaedic surgery
Abstract
This paper presents a novel approach and its preliminary laboratory results for the employment of ultrasound (US) imaging in intraoperative guidance of computer-assisted orthopaedic surgeries (CAOS). The goal is to register live intraoperative US images with preoperative surgical planning data using minimal number of images. Preoperatively, a set of 2D US images are acquired with the corresponding positional information of the US probe provided by an optical tracking system. Using calibration parameters, the position of every pixel in the acquired images is transformed into the world coordinate frame to construct a 3D volumetric representation of the targeted anatomy for surgical planning. Intraoperatively., the surgeon takes live US images from the patient with the position of the US probe tracked in real time. A mutual-information-based registration algorithm is then used to find the closest match to the live image in the preoperative US image database. Because the position of the preoperative image inside the US volume is known, we are able to register the preoperative US volume to the live image, thus to the patient. Experiments have shown the registration algorithm. has sub-millimeter accuracy in localizing the best, match between the intraoperative and pre-operative images, demonstrating great potential for orthopaedic surgery applications. This method has some significant advantages over the previously reported US-guided CAOS techniques: it requires no segmentation, and employs only a few intraoperative images to accurately and robustly localize the patient. Preliminary laboratory results on both a Sawbones model of a radius bone and human subjects are presented.
Year
DOI
Venue
2005
10.1117/12.595549
PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE)
Keywords
Field
DocType
computer-assisted orthopaedic surgery,image registration,mutual information,entropy,ultrasound imaging,ultrasound calibration,volume reconstruction,image-guided surgery,ITK,VTK
Computer vision,Surgical planning,Radius bone,Segmentation,Image-guided surgery,Algorithm,Image processing,Pixel,Artificial intelligence,Mutual information,Medicine,Image registration
Conference
Volume
ISSN
Citations 
5744
0277-786X
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Thomas Kuiran1153.52
Purang Abolmaesumi2951111.52