Slice-Level-Guided Convolutional Neural Networks to study the Right Ventricular Segmentation using MRI Short-Axis sequences

Ammari, Asma; Saouli, Rachida; Hmida, Badii; Bedoui, Mohamed Hédi

doi:10.1109/aiccsa53542.2021.9686842

Cited by 3 publications

(2 citation statements)

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“…The simulation of the motion was initially developed using a third-order harmonic Equation (12). s, A (1) , A (2) , A (3) , φ (1) , φ (2) , φ (3), ω are set out in Table 4.…”

Section: Recursive Filter Buildingmentioning

confidence: 99%

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Ventricular segmentation and modeling using topological watershed transformation and harmonic state model

Mahmoudi

2022

Int J Imaging Syst Tech

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This paper proposes an adapted ventricular segmentation method based on topological watershed transform. Segmentation will allow spatio-temporal modeling of trajectories of the different points belonging to the borders of the ventricle using a harmonic motion model that is able to describe such motion over the entire cardiac cycle. In addition, extraction of the adopted canonical state vector and the corresponding state equations guarantees an optimal efficacy and a gradual transition from order n to order n+1. To validate the proposed approach, an intern-image base was used. Our results show a promising ability to discern whether subjects are healthy or pathological with an 80% success rate.

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“…The simulation of the motion was initially developed using a third-order harmonic Equation (12). s, A (1) , A (2) , A (3) , φ (1) , φ (2) , φ (3), ω are set out in Table 4.…”

Section: Recursive Filter Buildingmentioning

confidence: 99%

“…In cardiac imaging, the segmentation of the contours of the ventricles is an essential step in detecting pathologies [12][13][14] such as ischemic, cardiomyopathies, and arrhythmias. Moreover, the monitoring of ventricular motion allows an in-depth analysis of these cardiovascular pathologies.…”

Section: Introductionmentioning

confidence: 99%