Biomechanically constrained groupwise statistical shape model to ultrasound registration of the lumbar spine

Siavash Khallaghi, Parvin Mousavi, Dan Borschneck, Gabor Fichtinger, Purang Abolmaesumi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Spinal needle injections for back pain management are frequently carried out in hospitals and radiological clinics. Currently, these procedures are performed under fluoroscopy or CT guidance in specialized interventional radiology facilities. As an alternative, the use of inexpensive ultrasound image guidance promises to reduce the costs and increase the availability and safety of procedure. We propose to eliminate the need for ionizing radiation by creating a statistical shape model of the lumbar vertebrae and registering it to 3D ultrasound volumes of patient using a groupwise registration algorithm. From a total of 35 patient CT volumes, statistical shape models of the L2, L3 and L4 vertebrae are created, including the mean shapes and principal modes of variation. The statistical shape models are simultaneously registered to the 3D ultrasound by interchangeably optimizing the model parameters and their relative poses. We also use a biomechanical model to constrain the relative motion of the individual vertebra models throughout the registration process. The proposed method was validated on three phantoms with realistic spinal curvatures.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages47-54
Number of pages8
Volume6689 LNCS
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event2nd International Conference on Information Processing in Computer-Assisted Interventions, IPCAI 2011 - Berlin, Germany
Duration: Jun 22 2011Jun 22 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6689 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other2nd International Conference on Information Processing in Computer-Assisted Interventions, IPCAI 2011
CountryGermany
CityBerlin
Period6/22/116/22/11

    Fingerprint

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Khallaghi, S., Mousavi, P., Borschneck, D., Fichtinger, G., & Abolmaesumi, P. (2011). Biomechanically constrained groupwise statistical shape model to ultrasound registration of the lumbar spine. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6689 LNCS, pp. 47-54). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6689 LNCS). https://doi.org/10.1007/978-3-642-21504-9_5