Automatic Intra-operative Generation of Geometric Left Atrium/Pulmonary Vein Models from Rotational X-Ray Angiography

Meyer, Carsten; Manzke, Robert; Peters, Jörg; Ecabert, Olivier; Kneser, Reinhard; Reddy, Vivek Y.; Chan, Raymond C. K.; Weese, Jürgen

doi:10.1007/978-3-540-85990-1_8

Cited by 6 publications

(4 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Averaging over triangles i gives the error n per patient, and further averaging over the 57 patients gives the mean error mean . The triangle positions near the artificial cut-planes which define the distal bounds of the truncated pulmonary veins and those of the trachea are excluded from the error measurement [11].…”

Section: Assessment Of Segmentation Accuracy and Mesh Comparisonmentioning

confidence: 99%

Limited Angle C-Arm Tomography and Segmentation for Guidance of Atrial Fibrillation Ablation Procedures

Schäfer

Meyer

Bullens

et al. 2012

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012

Self Cite

View full text Add to dashboard Cite

Abstract. Angiographic projections of the left atrium (LA) and the pulmonary veins (PV) acquired with a rotational C-arm system are used for 3D image reconstruction and subsequent automatic segmentation of the LA and PV to be used as roadmap in fluoroscopy guided LA ablation procedures. Acquisition of projections at high oblique angulations may be problematic due to increased collision danger of the detector with the right shoulder of the patient. We investigate the accuracy of image reconstruction and model based roadmap segmentation using limited angle C-arm tomography. The reduction of the angular range from 200• to 150• leads only to a moderate increase of the segmentation error from 1.5 mm to 2.0 mm if matched conditions are used in the segmentation, i.e. the model based segmentation is trained on images reconstructed with the same angular range as the test images. The minor decrease in accuracy may be outweighed by clinical workflow improvement, gained when large C-arm angulations can be avoided.

show abstract

Section: Assessment Of Segmentation Accuracy and Mesh Comparisonmentioning

confidence: 99%

Limited Angle C-Arm Tomography and Segmentation for Guidance of Atrial Fibrillation Ablation Procedures

Schäfer

Meyer

Bullens

et al. 2012

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012

Self Cite

View full text Add to dashboard Cite

show abstract

“…Superseding CT imaging, with the aim of overcoming these difficulties, rotational angiography was developed [25, 26, 47–50]. One major advantage is that this modality utilizes the fluoroscopy system that is routinely available in the electrophysiology lab.…”

Section: Electroanatomic Imaging Modalitiesmentioning

confidence: 99%

Advances in Imaging for Atrial Fibrillation Ablation

D’Silva

Wright

2011

Radiology Research and Practice

View full text Add to dashboard Cite

Over the last fifteen years, our understanding of the pathophysiology of atrial fibrillation (AF) has paved the way for ablation to be utilized as an effective treatment option. With the aim of gaining more detailed anatomical representation, advances have been made using various imaging modalities, both before and during the ablation procedure, in planning and execution. Options have flourished from procedural fluoroscopy, electroanatomic mapping systems, preprocedural computed tomography (CT), magnetic resonance imaging (MRI), ultrasound, and combinations of these technologies. Exciting work is underway in an effort to allow the electrophysiologist to assess scar formation in real time. One advantage would be to lessen the learning curve for what are very complex procedures. The hope of these developments is to improve the likelihood of a successful ablation procedure and to allow more patients access to this treatment.

show abstract

“…Contrast-enhanced Magnetic Resonance Angiography provides good quality imaging data for segmenting the atrial anatomy. Previous work on the segmentation of the left atrium include segmentation from MRA/CTA [1,4], CT [7] and X-ray angiography [8]. Our proposed method adopts the Voronoi framework of [1,4].…”

Section: Introductionmentioning

confidence: 99%

Automatic Segmentation of Left Atrial Geometry from Contrast-Enhanced Magnetic Resonance Images Using a Probabilistic Atlas

Karim

Juli

Malcolme-Lawes

et al. 2010

Statistical Atlases and Computational Models of the Heart

View full text Add to dashboard Cite

Abstract. Left atrium segmentation and the extraction of its geometry remains a challenging problem despite of existing approaches. It is a clinically-relevant important problem with an increasing interest as more research into the mechanism of atrial fibrillation and its recurrence process is undertaken. Contrast-Enhanced (CE) Magnetic Resonance Angiography (MRA) produces excellent images for extracting the atrial geometry. Nevertheless, the variable anatomy of the atrium poses significant challenge for segmentation. To overcome the inherent difficulties with this segmentation, we propose a technique that utilizes the Voronoi subdivision framework for the segmentation. In addition, the segmentation is based on the minimization of a Markov Random Field based energy functional defined within the Voronoi framework. The method also incorporates anatomical priors in the form of a probabilistic atlas. We show how the model is efficient in segmenting atrium images by comparing results from manual segmentations.

show abstract

Automatic Intra-operative Generation of Geometric Left Atrium/Pulmonary Vein Models from Rotational X-Ray Angiography

Cited by 6 publications

References 19 publications

Limited Angle C-Arm Tomography and Segmentation for Guidance of Atrial Fibrillation Ablation Procedures

Limited Angle C-Arm Tomography and Segmentation for Guidance of Atrial Fibrillation Ablation Procedures

Advances in Imaging for Atrial Fibrillation Ablation

Automatic Segmentation of Left Atrial Geometry from Contrast-Enhanced Magnetic Resonance Images Using a Probabilistic Atlas

Contact Info

Product

Resources

About