Interventional 4-D Motion Estimation and Reconstruction of Cardiac Vasculature without Motion Periodicity Assumption

  • Authors:
  • Christopher Rohkohl;Günter Lauritsch;Marcus Prümmer;Joachim Hornegger

  • Affiliations:
  • Chair of Pattern Recognition, Department of Computer Science, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany 91058 and Healthcare Sector, Siemens AG, Forchheim, Germany 91301;Healthcare Sector, Siemens AG, Forchheim, Germany 91301;Chair of Pattern Recognition, Department of Computer Science, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany 91058;Chair of Pattern Recognition, Department of Computer Science, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany 91058

  • Venue:
  • MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part I
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

Anatomical and functional information of cardiac vasculature is a key component of future developments in the field of interventional cardiology. With the technology of C-arm CT it is possible to reconstruct intraprocedural 3-D images from angiographic projection data. Current approaches attempt to add the temporal dimension (4-D) by ECG-gating in order to distinct physical states of the heart. This model assumes that the heart motion is periodic. However, frequently arrhytmic heart signals are observed in a clinical environment. In addition breathing motion can still occur. We present a reconstruction method based on a 4-D time-continuous motion field which is parameterized by the acquisition time and not the quasi-periodic heart phase. The output of our method is twofold. It provides a motion compensated 3-D reconstruction (anatomic information) and a motion field (functional information). In a physical phantom experiment a vessel of size 3.08 mm undergoing a non-periodic motion was reconstructed. The resulting diameters were 3.42 mm and 1.85 mm assuming non-periodic and periodic motion, respectively. Further, for two clinical cases (coronary arteries and coronary sinus) it is demonstrated that the presented algorithm outperforms periodic approaches and is able to handle realistic irregular heart motion.