2022
DOI: 10.1016/j.case.2022.06.005
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A High-Fidelity Three-Dimensional Computational Model of a Patient with Hypertrophic Cardiomyopathy

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Cited by 4 publications
(5 citation statements)
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“… 6 Micro-computed tomography (μCT) images (×3000) were obtained (North Star Imaging, Rogers, MN, USA) with a voxel resolution of 90–120 μm (which are resolutions that cannot be readily obtained during in vivo imaging). 7 The anonymized datasets were imported into the Mimics ® Innovation Suite software (Materialise NV, Leuven, Belgium) for segmenting and generating a 3D computational model of the heart. Models were exported using the surface tessellation language (STL) format to Blender (Blender Foundation, Amsterdam, the Netherlands), for further processing.…”
Section: Methodsmentioning
confidence: 99%
“… 6 Micro-computed tomography (μCT) images (×3000) were obtained (North Star Imaging, Rogers, MN, USA) with a voxel resolution of 90–120 μm (which are resolutions that cannot be readily obtained during in vivo imaging). 7 The anonymized datasets were imported into the Mimics ® Innovation Suite software (Materialise NV, Leuven, Belgium) for segmenting and generating a 3D computational model of the heart. Models were exported using the surface tessellation language (STL) format to Blender (Blender Foundation, Amsterdam, the Netherlands), for further processing.…”
Section: Methodsmentioning
confidence: 99%
“…Explanted hearts were cannulated through the great vessels and perfusion-fixed with 10% formalin for at least 24 h to preserve an approximation of the end-diastolic state. 13 Micro-CT (CT) images were obtained (X3000, NorthStar Imaging, Rogers, MN) with a voxel resolution of 90-120m, (resolutions that cannot be readily obtained during in-vivo imaging) 14 .…”
Section: Virtual Reality Simulatormentioning
confidence: 99%
“…[5][6][7] At the same time, advances in imaging technology allow for higher resolution datasets and translate directly into higher resolution computational 3D modeling with unprecedented anatomic details. 8,9 3D printed human hearts, 6,10 digital images, and virtual images are being created using cardiac magnetic resonance imaging (cMRI), computed tomography (CT), and echocardiographic imaging, 6,10 yet these imaging technologies typically lack the resolutions to accurately represent atrioventricular valvular and sub-valvular anatomy essential for advanced understanding of cardiac anatomy and surrounding structures. 5,11 Finally, timely care delivery and productivity is often prioritized in the cardiac operating room, leaving trainees with few and sporadic opportunities for adequate perioperative echocardiography training.…”
Section: Introductionmentioning
confidence: 99%
“…More recently, 3D printing of anatomic models, using data from scanned images, has been leveraged for creating effective teaching materials 5–7 . At the same time, advances in imaging technology allow for higher resolution datasets and translate directly into higher resolution computational 3D modeling with unprecedented anatomic details 8,9 . 3D printed human hearts, 6,10 digital images, and virtual images are being created using cardiac magnetic resonance imaging (cMRI), computed tomography (CT), and echocardiographic imaging, 6,10 yet these imaging technologies typically lack the resolutions to accurately represent atrioventricular valvular and sub‐valvular anatomy essential for advanced understanding of cardiac anatomy and surrounding structures 5,11 …”
Section: Introductionmentioning
confidence: 99%