Paper Info
Title
Registration of a statistical shape model of the lumbar spine to 3D ultrasound images.
Abstract
Spinal needle injections are technically demanding procedures. The use of ultrasound image guidance without prior CT and MR imagery promises to improve the efficacy and safety of these procedures in an affordable manner.We propose to create a statistical shape model of the lumbar spine and warp this atlas to patient-specific ultrasound images during the needle placement procedure. From CT image volumes of 35 patients, statistical shape model of the L3 vertebra is built, including mean shape and main modes of variation. This shape model is registered to the ultrasound data by simultaneously optimizing the parameters of the model and its relative pose. Ground-truth data was established by printing 3D anatomical models of 3 patients using a rapid prototyping. CT and ultrasound data of these models were registered using fiducial markers.Pairwise registration of the statistical shape model and 3D ultrasound images led to a mean target registration error of 3.4 mm, while 81% of all cases yielded clinically acceptable accuracy below the 3.5 mm threshold.
Year
DOI
Venue
2010
10.1007/978-3-642-15745-5_9
MICCAI (2)
Keywords
Field
DocType
anatomical model,prior ct,ct image volume,ultrasound image guidance,ultrasound data,mean shape,lumbar spine,ground-truth data,ultrasound image,shape model,statistical shape model,ground truth,ultrasound
Computer vision,Fiducial marker,Computer science,Lumbar vertebrae,Atlas (anatomy),Lumbar,Artificial intelligence,Vertebra,3D ultrasound,Ultrasound image,Ultrasound
Conference
Volume
Issue
ISSN
13
Pt 2
0302-9743
ISBN
Citations 
PageRank 
3-642-15744-0
18
0.99
References 
Authors
16
9
Name
Order
Citations
PageRank
Siavash Khallaghi1446.33
Parvin Mousavi236656.95
Ren Hui Gong3767.51
Sean Gill4775.69
Jonathan Boisvert512812.00
Gabor Fichtinger61107168.68
David Pichora7251.68
Dan Borschneck8241.59
Purang Abolmaesumi9951111.52