Analysis of 3D motion of in-vivo pacemaker leads

In vivo analyses of pacemaker lead motion during the cardiac cycle have become important due to incidences of failure of some of the components. For the calculation and evaluation of in vivo stresses in pacemaker leads, the 3D motion of the lead must be determined. To accomplish this, we have developed a technique for calculation of the overall and relative 3D position, and thereby the 3D motion, of in vivo pacemaker leads through the cardiac cycle.Biplane image sequences of patients with pacemakers were acquired for at least two cardiac cycles. After the patient acquisitions, biplane images of a calibration phantom were obtained. The biplane imaging geometries were calculated from the images of the calibration phantom. Points on the electrodes and the lead centerlines were indicated manually in all acquired images. The indicated points along the leads were then fit using a cubic spline. In each projection, the cumulative arclength along the centerlines in two temporally adjacent images was used to identify corresponding points along the centerlines. To overcome the non-synchronicity of the biplane image acquisition, temporal interpolation was performed using these corresponding points based on a linear scheme. For each time point, corresponding points along the lead centerlines in the pairs of biplane images were identified using epipolar lines. The 3D lead centerlines were calculated from the calculated imaging geometries and the corresponding image points along the lead centerlines. From these data, 3D lead motion and the variations of the lead position with time were calculated and evaluated throughout the cardiac cycle. The reproducibility of the indicated lead centerlines was approximately 0.3 mm. The precision of the calculated rotation matrix and translation vector defining image geometry were approximately 2 mm. 3D positions were reproducible to within 2 mm. Relative positional errors were less than 0.3 mm. Lead motion correlated strongly with phases of the cardiac cycle. Our results indicate that complex motions of in vivo pacemaker leads can be precisely determined. Thus, we believe that this technique will provide precise 3D motion and shapes on which to base subsequent stress analysis of pacemaker lead components.

[1]  C. Metz,et al.  Determination of three-dimensional structure in biplane radiography without prior knowledge of the relationship between the two views: theory. , 1989, Medical physics.

[2]  D L Hayes,et al.  Atrial “J” Pacing Lead Retention Wire Fracture: Radiographic Assessment, Incidence of Fracture, and Clinical Management , 1995, Pacing and clinical electrophysiology : PACE.

[3]  K R Hoffmann,et al.  Determination of 3D imaging geometry and object configurations from two biplane views: an enhancement of the Metz-Fencil technique. , 1995, Medical physics.

[4]  Neil Sulke,et al.  Life-threatening degeneration of the Accufix active-fixation atrial-pacing electrode , 1995, The Lancet.

[5]  Andreas Wahle,et al.  Assessment of diffuse coronary artery disease by quantitative analysis of coronary morphology based upon 3-D reconstruction from biplane angiograms , 1995, IEEE Trans. Medical Imaging.

[6]  Wen-Hsiang Tsai,et al.  Camera Calibration by Vanishing Lines for 3-D Computer Vision , 1991, IEEE Trans. Pattern Anal. Mach. Intell..

[7]  K R Hoffmann,et al.  Determination of 3D positions of pacemaker leads from biplane angiographic sequences. , 1997, Medical physics.

[8]  Timothy Harrigan,et al.  Assessment of pacing lead curvature and strain with three dimensional reconstruction of biplane cineangiographic images in vivo , 1996 .

[9]  S A MacKay,et al.  Methods for evaluating cardiac wall motion in three dimensions using bifurcation points of the coronary arterial tree. , 1983, Investigative radiology.

[10]  J. Brinker,et al.  Endocardial Pacing Leads: The Good, the Bad, and the Ugly , 1995, Pacing and clinical electrophysiology : PACE.

[11]  Paul Fenster,et al.  3-D arterial traces from biplane projections , 1987 .

[12]  Dennis L. Parker,et al.  FLOW MEASUREMENTS FROM 3D RECONSTRUCTION OF MOVING ARTERIAL BEDS FROM DIGITAL SUBTRACTION ANGIOGRAPHY. , 1987 .

[13]  Kenneth R. Hoffmann,et al.  Simple technique for calibrating imaging geometries , 1996, Medical Imaging.