Coronary Vein Extraction in MSCT Volumes Using Minimum Cost Path and Geometrical Moments

Velut, Jérôme; Boulmier, Dominique; Leclercq, Christophe; Garreau, Mireille; Haigron, Pascal; Toumoulin, Christine

doi:10.1109/jbhi.2013.2245420

Cited by 6 publications

(1 citation statement)

References 24 publications

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“…Motivated by the diffusion tensor image (DTI) field, Cetin et al [204] proposed an approach using an intensity-based tensor model for the location of coronary artery centerlines from computed tomography angiography (CTA) scans. In [205] , a hybrid scheme was reported for the detection of vessel centerlines in preoperative multislice computed tomography (MSCT) sequences, making use of a minimum cost path technique with a fast-marching front propagation. The extracted centerlines are refined in the second procedure by applying an iterative multiscale method based on geometrical moments.…”

Section: Computer Vision Techniques In Transcatheter Interventionmentioning

confidence: 99%

Computer Vision Techniques for Transcatheter Intervention

Zhang

Xie

Roach

2015

IEEE J. Transl. Eng. Health Med.

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Minimally invasive transcatheter technologies have demonstrated substantial promise for the diagnosis and the treatment of cardiovascular diseases. For example, transcatheter aortic valve implantation is an alternative to aortic valve replacement for the treatment of severe aortic stenosis, and transcatheter atrial fibrillation ablation is widely used for the treatment and the cure of atrial fibrillation. In addition, catheter-based intravascular ultrasound and optical coherence tomography imaging of coronary arteries provides important information about the coronary lumen, wall, and plaque characteristics. Qualitative and quantitative analysis of these cross-sectional image data will be beneficial to the evaluation and the treatment of coronary artery diseases such as atherosclerosis. In all the phases (preoperative, intraoperative, and postoperative) during the transcatheter intervention procedure, computer vision techniques (e.g., image segmentation and motion tracking) have been largely applied in the field to accomplish tasks like annulus measurement, valve selection, catheter placement control, and vessel centerline extraction. This provides beneficial guidance for the clinicians in surgical planning, disease diagnosis, and treatment assessment. In this paper, we present a systematical review on these state-of-the-art methods. We aim to give a comprehensive overview for researchers in the area of computer vision on the subject of transcatheter intervention. Research in medical computing is multi-disciplinary due to its nature, and hence, it is important to understand the application domain, clinical background, and imaging modality, so that methods and quantitative measurements derived from analyzing the imaging data are appropriate and meaningful. We thus provide an overview on the background information of the transcatheter intervention procedures, as well as a review of the computer vision techniques and methodologies applied in this area.

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Section: Computer Vision Techniques In Transcatheter Interventionmentioning

confidence: 99%

Computer Vision Techniques for Transcatheter Intervention

Zhang

Xie

Roach

2015

IEEE J. Transl. Eng. Health Med.

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Multi-modal data fusion for Cardiac Resynchronization Therapy planning and assistance

Bruge

Simon

Léderlin

et al. 2015

2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

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Cardiac Resynchronization Therapy (CRT) has been validated as an efficient treatment for selected patients suffering from heart failure with cardiac dyssynchrony. In case of bi-ventricular stimulation, the response to the therapy may be improved by an optimal choice of the left ventricle (LV) pacing sites. The characterization of LV properties to select the best candidate sites and to precise their access modes would be useful for the clinician in pre- and per-operative stages. For that purpose, we propose a new pre-operative analysis solution integrating previously developed multi-modal data registration methods and a new segmentation process of their coronary venous access. Moreover, a novel visualization interface is proposed to help the clinician to visualize the most relevant pacing sites and their access during the implantation in the operating room. This work is illustrated on real CRT data patients.

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Erratum to “Coronary Vein Extraction in MSCT Volumes Using Minimum Cost Path and Geometrical Moments” [Mar 13 336-345]

2013

IEEE J. Biomed. Health Inform.

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Coronary Vein Extraction in MSCT Volumes Using Minimum Cost Path and Geometrical Moments

Cited by 6 publications

References 24 publications

Computer Vision Techniques for Transcatheter Intervention

Computer Vision Techniques for Transcatheter Intervention

Multi-modal data fusion for Cardiac Resynchronization Therapy planning and assistance

Erratum to “Coronary Vein Extraction in MSCT Volumes Using Minimum Cost Path and Geometrical Moments” [Mar 13 336-345]

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