A fully automated pipeline for mining abdominal aortic aneurysm using image segmentation
Imaging software have become critical tools in the diagnosis and the treatment of abdominal
aortic aneurysms (AAA). The aim of this study was to develop a fully automated software …
aortic aneurysms (AAA). The aim of this study was to develop a fully automated software …
Automated segmentation of the human abdominal vascular system using a hybrid approach combining expert system and supervised deep learning
Background: Computed tomography angiography (CTA) is one of the most commonly used
imaging technique for the management of vascular diseases. Here, we aimed to develop a …
imaging technique for the management of vascular diseases. Here, we aimed to develop a …
[HTML][HTML] Deep learning based fully automatic segmentation of the left ventricular endocardium and epicardium from cardiac cine MRI
Background The segmentation of cardiac medical images is a crucial step for calculating
clinical indices such as wall thickness, ventricular volume, and ejection fraction. Methods In …
clinical indices such as wall thickness, ventricular volume, and ejection fraction. Methods In …
Object boundary detection through robust active contour based method with global information
R Kashyap - International Journal of Image Mining, 2018 - inderscienceonline.com
Restorative applications have turned to the healthcare industry various therapeutic
applications require legitimate segmentation of medical images for an exact determination …
applications require legitimate segmentation of medical images for an exact determination …
Fully automatic segmentation of 4D MRI for cardiac functional measurements
Purpose Segmentation of cardiac medical images, an important step in measuring cardiac
function, is usually performed either manually or semiautomatically. Fully automatic …
function, is usually performed either manually or semiautomatically. Fully automatic …
Automatic segmentation of thrombosed aortic dissection in post‐operative CT‐angiography images
H Feng, Z Fu, Y Wang, P Zhang, H Lai… - Medical Physics, 2023 - Wiley Online Library
Purpose The thrombus in the false lumen (FL) of aortic dissection (AD) patients is a
meaningful indicator to determine aortic remodeling but difficult to measure in clinic. In this …
meaningful indicator to determine aortic remodeling but difficult to measure in clinic. In this …
Towards optimal flow diverter porosity for the treatment of intracranial aneurysm
Purpose Low-porosity endovascular stents, known as flow diverters (FDs), have been
proposed as an effective and minimally invasive treatment for sidewall intracranial …
proposed as an effective and minimally invasive treatment for sidewall intracranial …
Determination of a shear rate threshold for thrombus formation in intracranial aneurysms
DR de Sousa, C Vallecilla, K Chodzynski… - Journal of …, 2016 - jnis.bmj.com
Background Particular intra-aneurysmal blood flow conditions, created naturally by the
growth of an aneurysm or induced artificially by implantation of a flow diverter stent (FDS) …
growth of an aneurysm or induced artificially by implantation of a flow diverter stent (FDS) …
Segmentation of lumen and outer wall of abdominal aortic aneurysms from 3D black-blood MRI with a registration based geodesic active contour model
Segmentation of the geometric morphology of abdominal aortic aneurysm is important for
interventional planning. However, the segmentation of both the lumen and the outer wall of …
interventional planning. However, the segmentation of both the lumen and the outer wall of …
Central moments multiple relaxation time LBM for hemodynamic simulations in intracranial aneurysms: An in-vitro validation study using PIV and PC-MRI
The lattice Boltzmann method (LBM) has recently emerged as an efficient alternative to
classical Navier-Stokes solvers. This is particularly true for hemodynamics in complex …
classical Navier-Stokes solvers. This is particularly true for hemodynamics in complex …