Automatic aorta segmentation and valve landmark detection in C-arm CT for transcatheter aortic valve implantation

Y Zheng, M John, R Liao, A Nottling… - IEEE transactions on …, 2012 - ieeexplore.ieee.org
<? Pub Dtl=""?> Transcatheter aortic valve implantation (TAVI) is a minimally invasive
procedure to treat severe aortic valve stenosis. As an emerging imaging technique, C-arm …

Automatic aorta segmentation and valve landmark detection in C-arm CT: application to aortic valve implantation

Y Zheng, M John, R Liao, J Boese… - … Image Computing and …, 2010 - Springer
C-arm CT is an emerging imaging technique in transcatheter aortic valve implantation (TAVI)
surgery. Automatic aorta segmentation and valve landmark detection in a C-arm CT volume …

Coronary centerline extraction from CT coronary angiography images using a minimum cost path approach

CT Metz, M Schaap, AC Weustink, NR Mollet… - Medical …, 2009 - Wiley Online Library
Purpose: The application and large‐scale evaluation of minimum cost path approaches for
coronary centerline extraction from computed tomography coronary angiography (CTCA) …

Automated detection, segmentation and measurement of major vessels and the trachea in CT pulmonary angiography

AT Kahraman, T Fröding, D Toumpanakis, N Sladoje… - Scientific Reports, 2023 - nature.com
Mediastinal structure measurements are important for the radiologist's review of computed
tomography pulmonary angiography (CTPA) examinations. In the reporting process …

Semi-automatic segmentation and detection of aorta dissection wall in MDCT angiography

K Krissian, JM Carreira, J Esclarin, M Maynar - Medical image analysis, 2014 - Elsevier
Aorta dissection is a serious vascular disease produced by a rupture of the tunica intima of
the vessel wall that can be lethal to the patient. The related diagnosis is strongly based on …

Graph cut based automatic aorta segmentation with an adaptive smoothness constraint in 3D abdominal CT images

X Deng, Y Zheng, Y Xu, X Xi, N Li, Y Yin - Neurocomputing, 2018 - Elsevier
Aorta segmentation is clinically important as it is a necessary step towards accurate
assessments of some aorta disease. In the paper, we present a graph cut based method for …

Automatic detection of calcified coronary plaques in computed tomography data sets

SC Saur, H Alkadhi, L Desbiolles, G Székely… - … Conference on Medical …, 2008 - Springer
The detection of calcified plaques is an essential step in the assessment of coronary heart
diseases. However, manual plaque segmentation is subjected to intra-and inter-observer …

Magnetic navigation for thoracic aortic stent-graft deployment using ultrasound image guidance

Z Luo, J Cai, S Wang, Q Zhao… - IEEE Transactions on …, 2012 - ieeexplore.ieee.org
We propose a system for thoracic aortic stent-graft deployment that employs a magnetic
tracking system (MTS) and intraoperative ultrasound (US). A preoperative plan is first …

Robust vessel segmentation

S Bock, C Kühnel, T Boskamp… - Medical Imaging 2008 …, 2008 - spiedigitallibrary.org
In the context of cardiac applications, the primary goal of coronary vessel analysis often
consists in supporting the diagnosis of vessel wall anomalies, such as coronary plaque and …

[PDF][PDF] Automatic fuzzy-based hybrid approach for segmentation and centerline extraction of main coronary arteries

K Khaled, MAW Shalaby, KM El Sayed - International Journal of …, 2017 - academia.edu
Coronary arteries segmentation and centerlines extraction is an important step in Coronary
Artery Disease diagnosis. The main purpose of the fully automated presented approaches is …