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A system for ultrasound-guided compu...

Chen, Thomas Kuiran.

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A system for ultrasound-guided computer-assisted orthopaedic surgery.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	A system for ultrasound-guided computer-assisted orthopaedic surgery./
Author:	Chen, Thomas Kuiran.
Description:	153 p.
Notes:	Advisers: Purang Abolmaesumi; Randy Ellis.
Contained By:	Masters Abstracts International43-06.
Subject:	Computer Science. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MR01019
ISBN:	9780494010198

A system for ultrasound-guided computer-assisted orthopaedic surgery.
Chen, Thomas Kuiran.

A system for ultrasound-guided computer-assisted orthopaedic surgery. - 153 p.

Advisers: Purang Abolmaesumi; Randy Ellis.

Thesis (M.Sc.)--Queen's University (Canada), 2005.

This thesis presents a novel computer-assisted orthopaedic surgery (CAOS) method that employs 2D ultrasound as the imaging modality. Medical ultrasound is non-ionizing and real-time, and our proposed method does not require any invasive mounting procedures. Preoperatively, a set of 2D ultrasound images is acquired with the corresponding positional information of the ultrasound probe provided by a tracking system. Using calibration parameters, the position of every pixel in the images is transformed into the world coordinate frame to construct a 3D volume of the targeted anatomy for surgical planning. Intra-operatively, the surgeon takes live ultrasound images from the patient with the position of the ultrasound 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 images. Because the position of the preoperative image inside the ultrasound volume is known, we are able to register the preoperative volume to the patient's anatomy.

ISBN: 9780494010198Subjects--Topical Terms:

626642
Computer Science.

A system for ultrasound-guided computer-assisted orthopaedic surgery.
LDR:02579nam 2200313 a 45 001 947996
005 20110524
008 110524s2005 ||||||||||||||||| ||eng d
020 $a 9780494010198
035 $a (UMI)AAIMR01019
035 $a AAIMR01019
040 $a UMI $c UMI
100 1 $a Chen, Thomas Kuiran. $3 1271457
245 1 2 $a A system for ultrasound-guided computer-assisted orthopaedic surgery.
300 $a 153 p.
500 $a Advisers: Purang Abolmaesumi; Randy Ellis.
500 $a Source: Masters Abstracts International, Volume: 43-06, page: 2270.
502 $a Thesis (M.Sc.)--Queen's University (Canada), 2005.
520 $a This thesis presents a novel computer-assisted orthopaedic surgery (CAOS) method that employs 2D ultrasound as the imaging modality. Medical ultrasound is non-ionizing and real-time, and our proposed method does not require any invasive mounting procedures. Preoperatively, a set of 2D ultrasound images is acquired with the corresponding positional information of the ultrasound probe provided by a tracking system. Using calibration parameters, the position of every pixel in the images is transformed into the world coordinate frame to construct a 3D volume of the targeted anatomy for surgical planning. Intra-operatively, the surgeon takes live ultrasound images from the patient with the position of the ultrasound 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 images. Because the position of the preoperative image inside the ultrasound volume is known, we are able to register the preoperative volume to the patient's anatomy.
520 $a Experiments have shown that the registration technique has sub-millimeter accuracy in localizing the best match between the intra-operative and pre-operative images, demonstrating great potential for orthopaedic applications. This method has some significant advantages over previously reported ultrasound-guided LAOS techniques: it requires no segmentation, and employs only a few ultrasound images to accurately and robustly localize the patient. Preliminary laboratory results on both a physical model of a radius bone and human subjects are presented. (Abstract shortened by UMI.)
590 $a School code: 0283.
650 4 $a Computer Science. $3 626642
650 4 $a Engineering, Biomedical. $3 1017684
650 4 $a Health Sciences, Medicine and Surgery. $3 1017756
690 $a 0541
690 $a 0564
690 $a 0984
710 2 $a Queen's University (Canada). $3 1017786
773 0 $t Masters Abstracts International $g 43-06.
790 $a 0283
790 1 0 $a Abolmaesumi, Purang, $e advisor
790 1 0 $a Ellis, Randy, $e advisor
791 $a M.Sc.
792 $a 2005
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MR01019