Real-time 2D-3D MR cardiac image registration during respiration using extended Kalman filter predictors

Esteghamatian, Mehdi; Azimifar, Zohreh; Radau, Perry; Wright, Graham A.

doi:10.1109/icosp.2008.4697376

Cited by 8 publications

(7 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The mean error is 0.7 mm and therefore sub-millimeter accuracy can be reached for catheter parts that were detected by the algorithm, thus, enabling catheter localization for EP applications [7]. The percentage of undetected catheter parts is with 6.0 % lower than the methods proposed by Honnorath et al [10] and Franken et al [8].…”

Section: Discussionmentioning

confidence: 86%

Semi-automatic Catheter Reconstruction from Two Views

Hoffmann

Brost

Jakob

et al. 2012

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012

View full text Add to dashboard Cite

Abstract. We propose novel methods for (a) detection of a catheter in fluoroscopic images and (b) reconstruction of this catheter from two views. The novelty of (a) is a reduced user interaction and a higher accuracy. It requires only a single seed point on the catheter in the fluoroscopic image. Using this starting point, possible parts of the catheter are detected using a graph search. An evaluation of the detection using 66 clinical fluoroscopic images yielded an average error of 0.7 mm ± 2.0 mm. The novelty of (b) is a better ability to deal with highly curved objects as it selects an optimal set of point correspondences from two point sequences describing the catheters in two fluoroscopic images. The selected correspondences are then used for computation of the 3-D reconstruction. The evaluation on 33 clinical biplane images yielded an average backprojection error of 0.4 mm ± 0.6 mm.

show abstract

Section: Discussionmentioning

confidence: 86%

Semi-automatic Catheter Reconstruction from Two Views

Hoffmann

Brost

Jakob

et al. 2012

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012

View full text Add to dashboard Cite

show abstract

“…This again demonstrates that accurate 3-D tracking can be achieved by simultaneously tracking within two 2-D imaging planes. This method is superior to existing methods that provide an accuracy of 2.0 mm [26,27], and it appears acceptable in clinical practice as our error is below 2 mm [28]. The current implementation of this algorithm achieves a frame rate of 3 frames-per-second using a single threaded CPU implementation.…”

Section: Discussionmentioning

confidence: 93%

3D model-based catheter tracking for motion compensation in EP procedures

Brost¹,

Liao

Hornegger³

et al. 2010

Medical Imaging 2010: Visualization, Image-Guided Procedures, and Modeling

View full text Add to dashboard Cite

Abstract. Atrial fibrillation is the most common sustained heart arrhythmia and a leading cause of stroke. Its treatment by radio-frequency catheter ablation, performed using fluoroscopic image guidance, is gaining increasingly more importance. Two-dimensional fluoroscopic navigation can take advantage of overlay images derived from pre-operative 3-D data to add anatomical details otherwise not visible under X-ray. Unfortunately, respiratory motion may impair the utility of these static overlay images for catheter navigation. We developed an approach for image-based 3-D motion compensation as a solution to this problem. A bi-plane C-arm system is used to take X-ray images of a special circumferential mapping catheter from two directions. In the first step of the method, a 3-D model of the device is reconstructed. Three-dimensional respiratory motion at the site of ablation is then estimated by tracking the reconstructed catheter model in 3-D. This step involves bi-plane fluoroscopy and 2-D/3-D registration. Phantom data and clinical data were used to assess our model-based catheter tracking method. Experiments involving a moving heart phantom yielded an average 2-D tracking error of 1.4 mm and an average 3-D tracking error of 1.1 mm. Our evaluation of clinical data sets comprised 469 bi-plane fluoroscopy frames (938 monoplane fluoroscopy frames). We observed an average 2-D tracking error of 1.0 mm ± 0.4 mm and an average 3-D tracking error of 0.8 mm ± 0.5 mm. These results demonstrate that model-based motion-compensation based on 2-D/3-D registration is both feasible and accurate.

show abstract

“…Unfortunately, there is hardly a statement by a physician about the amount of error that is clinically acceptable. For cardiac applications though, 2 mm seems to be an accepted threshold [39]. Nevertheless, to reduce the 3-D error, one could employ simultaneous biplane imaging which comes at the cost of a higher dose for patient and the medical staff [37].…”

Section: Discussionmentioning

confidence: 99%