Paper Info
Title
3D organ motion prediction for MR-guided high intensity focused ultrasound.
Abstract
MR-guided High Intensity Focused Ultrasound is an emerging non-invasive technique capable of depositing sharply localised energy deep within the body, without affecting the surrounding tissues. This, however, implies exact knowledge of the target's position when treating mobile organs. In this paper we present an atlas-based prediction technique that trains an atlas from time-resolved 3D volumes using 4DMRI, capturing the full patient specific motion of the organ. Based on a breathing signal, the respiratory state of the organ is then tracked and used to predict the target's future position. To additionally compensate for the non-periodic slower organ drifts, the static motion atlas is combined with a population-based statistical exhalation drift model. The proposed method is validated on organ motion data of 12 healthy volunteers. Experiments estimating the future position of the entire liver result in an average prediction error of 1.1 mm over time intervals of up to 13 minutes.
Year
DOI
Venue
2011
10.1007/978-3-642-23629-7_76
MICCAI (2)
Keywords
Field
DocType
non-periodic slower organ drift,atlas-based prediction technique,average prediction error,static motion atlas,full patient specific motion,organ motion data,mr-guided high intensity focused,non-invasive technique,mr-guided high intensity,organ motion prediction,future position,mobile organ
High-intensity focused ultrasound,Computer vision,Population,Mean squared prediction error,Organ Motion,Computer science,Motion compensation,Atlas (anatomy),Artificial intelligence,Breathing,Magnetic resonance imaging
Conference
Volume
Issue
ISSN
14
Pt 2
0302-9743
Citations 
PageRank 
References 
17
1.16
2
Authors
6
Name
Order
Citations
PageRank
Patrik Arnold1483.83
Frank Preiswerk2777.16
Beat Fasel3866.97
Rares Salomir4337.53
Klaus Scheffler512419.24
Philippe C. Cattin636746.80