CT to US registration of the lumbar spine: A clinical feasibility study

Simrin Nagpal, Purang Abolmaesumi, Abtin Rasoulian, Tamas Ungi, Ilker Hacihaliloglu, Jill Osborn, Dan P. Borschneck, Victoria A. Lessoway, Robert N. Rohling, Parvin Mousavi

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

7 Scopus citations

Abstract

Spine needle injections are widely applied to alleviate pain and to remove nerve sensation through analgesia and anesthesia. Currently, spinal injections are performed using either no image guidance or modalities that expose the patient to ionizing radiation such as fluoroscopy or computed tomography (CT). Ultrasound (US) is being investigated as an alternative as it is a non-ionizing and more accessible image modality. An inherent challenge to US imaging of the spine is the acoustic shadows created by the bony structures of the vertebrae limiting visibility. It is possible to enhance the anatomical information in US through its fusion with a pre-operative CT. In this manuscript we propose a clinical feasibility study involving a novel registration pipeline to align CT and US images of the spine. This pipeline involves automatic global and multi-vertebrae registration. We evaluate the proposed methodology on five clinical data sets. The proposed method is able to register the data sets from initial misalignments of up to 25 mm, with a mean TRE of 1.17 mm, sufficient for many spine needle interventions.

Original languageEnglish (US)
Title of host publicationInformation Processing in Computer-Assisted Interventions - 5th International Conference, IPCAI 2014, Proceedings
PublisherSpringer Verlag
Pages108-117
Number of pages10
ISBN (Print)9783319075204
DOIs
StatePublished - Jan 1 2014
Externally publishedYes
Event5th International Conference on Information Processing in Computer-Assisted Interventions, IPCAI 2014 - Fukuoka, Japan
Duration: Jun 28 2014Jun 28 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8498 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other5th International Conference on Information Processing in Computer-Assisted Interventions, IPCAI 2014
CountryJapan
CityFukuoka
Period6/28/146/28/14

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Keywords

  • Registration
  • lumbar spine
  • multi-vertebrae
  • ultrasound

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