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  4. Autonomous Ultrasound-Guided Tissue Dissection
 
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Autonomous Ultrasound-Guided Tissue Dissection
File(s)
Autonomous ultrasound-guided tissue.docx (1.46 MB)
Accepted version
Author(s)
Pratt, Philip
Hughes-Hallett, Archie
Zhang, Lin
Patel, Nisha
Mayer, Erik
more
Type
Conference Paper
Abstract
Intraoperative ultrasound imaging can act as a valuable guide during minimally invasive tumour resection. However, contemporaneous bimanual manipulation of the transducer and cutting instrument presents significant challenges for the surgeon. Both cannot occupy the same physical location, and so a carefully coordinated relative motion is required. Using robotic partial nephrectomy as an index procedure, and employing PVA cryogel tissue phantoms in a reduced dimensionality setting, this study sets out to achieve autonomous tissue dissection with a high velocity waterjet under ultrasound guidance. The open-source da Vinci Research Kit (DVRK) provides the foundation for a novel multimodal visual servoing approach, based on the simultaneous processing and analysis of endoscopic and ultrasound images. Following an accurate and robust Jacobian estimation procedure, dissections are performed with specified theoretical tumour margin distances. The resulting margins, with a mean difference of 0.77mm, indicate that the overall system performs accurately, and that future generalisation to 3D tumour and organ surface morphologies is warranted.
Editor(s)
Navab, N
Hornegger, J
Wells, WM
Frangi, AF
Date Issued
2015-11-18
Date Acceptance
2015-11-01
Citation
MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION - MICCAI 2015, PT I, 2015, 9349, pp.249-257
URI
http://hdl.handle.net/10044/1/64039
DOI
https://www.dx.doi.org/10.1007/978-3-319-24553-9_31
ISBN
978-3-319-24552-2
ISSN
0302-9743
Publisher
SPRINGER INT PUBLISHING AG
Start Page
249
End Page
257
Journal / Book Title
MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION - MICCAI 2015, PT I
Volume
9349
Copyright Statement
© 2015 Springer International Publishing Switzerland. The final publication is available at https://dx.doi.org/10.1007/978-3-319-24553-9_31
Sponsor
Imperial College Healthcare NHS Trust- BRC Funding
Imperial College Healthcare NHS Trust- BRC Funding
St Mary s Hospital Urological Research and Educational Trust
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000366205700031&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Grant Number
RDB04 79560
RD207
N/A
Source
18th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)
Subjects
Science & Technology
Technology
Life Sciences & Biomedicine
Computer Science, Artificial Intelligence
Computer Science, Interdisciplinary Applications
Computer Science, Theory & Methods
Radiology, Nuclear Medicine & Medical Imaging
Computer Science
RESECTION
ROBOT
Publication Status
Published
Start Date
2015-10-05
Finish Date
2015-10-09
Coverage Spatial
Munich, GERMANY
Date Publish Online
2015-11-18
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