An automatic and accurate registration method for electro‐anatomical map and CT surface

Shu, Lixia; Jin, Wang; Lin, Changyan

doi:10.1002/rcs.1818

Cited by 3 publications

(4 citation statements)

References 27 publications

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“…Improved convergence rates on the human femur and robustness to noise were achieved by a probabilistic variation of ICP, incorporating both positional and orientational information . A combination of principal‐axes‐based registration and Hausdorff distance minimization was used for automated matching of electro‐anatomical and CT data, applicable on closed surfaces only. Manually delineated salient anatomical features lead to lower target registration error (TRE) than ICP; however, additional tuning of the anatomical features was required.…”

Section: Introductionmentioning

confidence: 99%

Vector field analysis for surface registration in computer‐assisted ENT surgery

Diakov

Freysinger

2019

Robotics Computer Surgery

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Background Manual paired‐point registration for navigated ENT‐surgery is prone to human errors; automatic surface registration is often caught in local minima. Methods Anatomical features of the human occiput are integrated into an algorithm for surface registration. A vector force field is defined between the patient and operating room datasets; registration is facilitated through gradient‐based vector field analysis optimization of an energy function. The method is validated exemplarily on patient surface data provided by a mechanically positioned A‐mode ultrasound sensor. Results Successful registrations were achieved within the entire parameter space, as well as from positions of local minima that were found by the Gaussian fields algorithm for surface registration. Sub‐millimetric registration error was measured in clinically relevant anatomical areas on the anterior skull and within the generally accepted margin of 1.5 mm for the entire head. Conclusion The satisfactory behavior of this approach potentially suggests a wider clinical integration.

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Section: Introductionmentioning

confidence: 99%

Vector field analysis for surface registration in computer‐assisted ENT surgery

Diakov

Freysinger

2019

Robotics Computer Surgery

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“… 15 Performing image integration in this way to combine pre-procedural anatomical data from imaging with electroanatomic mapping data may reduce fluoroscopy times 13–20 and procedure times. 16 , 17 , 59 Some studies have found improved clinical outcomes following ablation with image integration, 18 , 60–62 while others have found no difference in outcomes, 13 , 14 , 16 , 63 , 64 which is supported by meta-analysis. 65 A major challenge in image integration remains registration errors between modalities.…”

Section: Section 3: Using Advanced Imaging Techniques To Guide Ablation Proceduresmentioning

confidence: 89%

“… 68 These potential confounding factors may explain why some studies have found the accuracy of image integration to be insufficient to guide ablation procedures, 69 , 70 while others have reported improved clinical outcomes with image integration. 18 , 60 , 62 , 71 …”

Section: Section 3: Using Advanced Imaging Techniques To Guide Ablation Proceduresmentioning

confidence: 99%

Applications of multimodality imaging for left atrial catheter ablation

Roney

Sillett

Whitaker

et al. 2021

European Heart Journal - Cardiovascular Imaging

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Atrial arrhythmias, including atrial fibrillation and atrial flutter, may be treated through catheter ablation. The process of atrial arrhythmia catheter ablation, which includes patient selection, pre-procedural planning, intra-procedural guidance, and post-procedural assessment, is typically characterized by the use of several imaging modalities to sequentially inform key clinical decisions. Increasingly, advanced imaging modalities are processed via specialized image analysis techniques and combined with intra-procedural electrical measurements to inform treatment approaches. Here, we review the use of multimodality imaging for left atrial ablation procedures. The article first outlines how imaging modalities are routinely used in the peri-ablation period. We then describe how advanced imaging techniques may inform patient selection for ablation and ablation targets themselves. Ongoing research directions for improving catheter ablation outcomes by using imaging combined with advanced analyses for personalization of ablation targets are discussed, together with approaches for their integration in the standard clinical environment. Finally, we describe future research areas with the potential to improve catheter ablation outcomes.

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“…Other non-commercial algorithms have been described but are often more than 10 years old and therefore still had to deal with the low-resolution EAM anatomies of those days [24] , [25] , [26] . Shu et al more recently published another automatic approach to align preprocedural images with EAM but only assessed its performance in 6 patients [27] . Roney et al recently introduced a new method for multi-modal assessment, which involves transforming 3D LA anatomy into a 2D representation called universal atrial coordinates [28] .…”

Section: Discussionmentioning

confidence: 99%

Multi-modal characterization of the left atrium by a fully automated integration of pre-procedural cardiac imaging and electro-anatomical mapping

Hermans,

Bijvoet,

Holtackers

et al. 2023

IJC Heart & Vasculature

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An automatic and accurate registration method for electro‐anatomical map and CT surface

Abstract: Experiments validate that the proposed method registers EAM and CT surface both automatically and accurately.

Cited by 3 publications

References 27 publications

Vector field analysis for surface registration in computer‐assisted ENT surgery

Vector field analysis for surface registration in computer‐assisted ENT surgery

Applications of multimodality imaging for left atrial catheter ablation

Multi-modal characterization of the left atrium by a fully automated integration of pre-procedural cardiac imaging and electro-anatomical mapping

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