Registration of a Statistical Shape Model of the Lumbar Spine to 3D Ultrasound Images

Autor:	Jonathan Boisvert, Parvin Mousavi, Gabor Fichtinger, Ren Hui Gong, Siavash Khallaghi, Purang Abolmaesumi, Sean Gill, David R. Pichora, Dan Borschneck
Rok vydání:	2010
Předmět:	medicine.diagnostic_test business.industry Ultrasound Lumbar vertebrae Vertebra medicine.anatomical_structure Atlas (anatomy) medicine Lumbar spine 3D ultrasound Computer vision Artificial intelligence business Fiducial marker Ultrasound image
Zdroj:	Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010 ISBN: 9783642157448 MICCAI (2)
DOI:	10.1007/978-3-642-15745-5_9
Popis:	Motivation: 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. Methodology: 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. Results: 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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::41d808aee7f27d8eebb1332cc3021d75 https://doi.org/10.1007/978-3-642-15745-5_9 Zobrazit plný text záznamu