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Robust temporal alignment of multimodal cardiac sequences

Perissinotto, Andrea; Queirós, Sandro; Morais, Pedro; Baptista, Maria J.; Monaghan, Mark; Rodrigues, Nuno F.; Vilaça, João L.; Barbosa, Daniel

Given the dynamic nature of cardiac function, correct temporal alignment of pre-operative models and intraoperative images is crucial for augmented reality in cardiac image-guided interventions. As such, the current study focuses on the development of an image-based strategy for temporal alignment of multimodal cardiac imaging sequences, such as cine Magnetic Resonance Imaging (MRI) or 3D Ultrasound (US). First...

Date: 2016   |   Origin: CiencIPCA

Improving The Robustness Of Interventional 4D Ultrasound Segmentation Through T...

Barbosa, Daniel; Queirós, Sandro; Morais, Pedro; Baptista, Maria J.; Monaghan, Mark; Rodrigues, Nuno F.; D’hooge, Jan; Vilaça, João L.

While fluoroscopy is still the most widely used imaging modality to guide cardiac interventions, the fusion of pre-operative Magnetic Resonance Imaging (MRI) with real-time intra-operative ultrasound (US) is rapidly gaining clinical acceptance as a viable, radiation-free alternative. In order to improve the detection of the left ventricular (LV) surface in 4D ultrasound, we propose to take advantage of the pre-...

Date: 2016   |   Origin: CiencIPCA

Standardized Evaluation System for Left Ventricular Segmentation Algorithms in ...

Bernard, Olivier; Bosch, Johan G.; Heyde, Brecht; Alessandrini, Martino; Barbosa, Daniel Joaquim Cunha; Camarasu-Pop, Sorina; Cervenansky, Frederic

Real-time 3D Echocardiography (RT3DE) has been proven to be an accurate tool for left ventricular (LV) volume assessment. However, identification of the LV endocardium remains a challenging task, mainly because of the low tissue/blood contrast of the images combined with typical artifacts. Several semi and fully automatic algorithms have been proposed for segmenting the endocardium in RT3DE data in order to ext...


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