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Detection and Registration of Ribs in MRI Using Geometric and Appearance Models

  • Golnoosh Samei
  • Gábor Székely
  • Christine Tanner
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8673)

Abstract

Magnetic resonance guided high intensity focused ultrasound (MRgHIFU) is a new type of minimally invasive therapy for treating malignant liver tissues. Since the ribs on the beam path can compromise an effective therapy, detecting them and tracking their motion on MR images is of great importance. However, due to poor magnetic signal emission of bones, ribs cannot be entirely observed in MR. In the proposed method, we take advantage of the accuracy of CT in imaging the ribs to build a geometric ribcage model and combine it with an appearance model of the neighbouring structures of ribs in MR to reconstruct realistic centerlines in MRIs. We have improved our previous method by using a more sophisticated appearance model, a more flexible ribcage model, and a more effective optimization strategy. We decreased the mean error to 2.5 mm, making the method suitable for clinical application. Finally, we propose a rib registration method which conserves the shape and length of ribs, and imposes realistic constraints on their motions, achieving 2.7 mm mean accuracy.

Keywords

Principle Component Analysis Appearance Model World Coordinate System Angle Point Natural Coordinate System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Golnoosh Samei
    • 1
  • Gábor Székely
    • 1
  • Christine Tanner
    • 1
  1. 1.Computer Vision LaboratoryETH ZurichZurichSwitzerland

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