Automatic ultrasound-MRI registration for neurosurgery using the 2D and 3D LC2 Metric

Bernhard Fuerst, Wolfgang Wein, Markus Müller, Nassir Navab

Research output: Contribution to journalArticlepeer-review

57 Scopus citations


To enable image guided neurosurgery, the alignment of pre-interventional magnetic resonance imaging (MRI) and intra-operative ultrasound (US) is commonly required. We present two automatic image registration algorithms using the similarity measure Linear Correlation of Linear Combination (LC2) to align either freehand US slices or US volumes with MRI images. Both approaches allow an automatic and robust registration, while the three dimensional method yields a significantly improved percentage of optimally aligned registrations for randomly chosen clinically relevant initializations. This study presents a detailed description of the methodology and an extensive evaluation showing an accuracy of 2.51mm, precision of 0.85mm and capture range of 15mm (>95% convergence) using 14 clinical neurosurgical cases.

Original languageEnglish (US)
Pages (from-to)1312-1319
Number of pages8
JournalMedical image analysis
Issue number8
StatePublished - 2014


  • Image registration
  • Linear correlation of linear combination
  • Similarity measure

ASJC Scopus subject areas

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging
  • Computer Vision and Pattern Recognition
  • Health Informatics
  • Computer Graphics and Computer-Aided Design


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