Publications by authors named "C N Gandolfo"
Mixed reality (MR) has the potential to complement numerical simulations for enhanced post-processing and integrate digital models into the daily clinical practice of healthcare professionals. In complex cardiac anatomies, the decision-making process for bioprosthesis implantation involves the challenging analysis of heart valve distribution, positioning, and sealing. This study proposes a framework to visualize computational modeling results in an immersive environment for comprehensive analysis of the geometric implications of implanted devices on human heart function.
View Article and Find Full Text PDFTwo-dimensional transthoracic echocardiography (2D TTE) and two-dimensional transesophageal echocardiography (2D TEE) are regarded as the main imaging techniques for the assessment of degenerative mitral valve regurgitation (DMVR). However, describing the complex morphology of DMVR with 2D TTE and 2D TEE remains at the very least challenging. Three-dimensional (3D) TEE is an ideal technique for illustrating the extremely variable morphology of DMVR, providing images of unparalleled quality in terms of anatomical detail.
View Article and Find Full Text PDFPurpose: In silico trials using computational modeling and simulations can complement clinical trials to improve the time-to-market of complex cardiovascular devices in humans. This study aims to investigate the significance of synthetic data in developing in silico trials for assessing the safety and efficacy of cardiovascular devices, focusing on bioprostheses designed for transcatheter aortic valve implantation (TAVI).
Methods: A statistical shape model (SSM) was employed to extract uncorrelated shape features from TAVI patients, enabling the augmentation of the original patient population into a clinically validated synthetic cohort.
Article Synopsis
- Accurate segmentation of medical images is essential for creating precise, patient-specific models for computational analyses, especially in transcatheter aortic valve implantation (TAVI).
- The study evaluated segmentation accuracy comparing synthetic phantoms and patient data, revealing that CT scanner resolution and voxel size significantly affect accuracy, particularly when voxel size increases by more than 7.5 times.
- Findings indicated a higher segmentation accuracy for calcification compared to the aortic wall and valve leaflets, stressing the need for standardized and reliable segmentation methods to improve clinical decision-making.
Introduction: MRI examinations in the pediatric population require acquiring motionless images in the safest possible manner. At our institute, we have developed a protocol called "Good Practice" aimed at avoiding anesthesia in newborns and infants through the use of the "feed and wrap" technique, as well as preventing hospitalization for older children requiring anesthesia with an optimized sedation protocol. We evaluated this protocol in terms of patient safety, imaging quality, and parental satisfaction.
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