2022
DOI: 10.18063/ijb.v9i1.640
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Domain expert evaluation of advanced visual computing solutions and 3D printing for the planning of the left atrial appendage occluder interventions

Abstract: Advanced visual computing solutions and three-dimensional (3D) printing are moving from engineering to clinical pipelines for training, planning, and guidance of complex interventions. 3D imaging and rendering, virtual reality (VR), and in-silico simulations, as well as 3D printing technologies provide complementary information to better understand the structure and function of the organs, thereby improving and personalizing clinical decisions. In this study, we evaluated several advanced visual computing solu… Show more

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Cited by 6 publications
(3 citation statements)
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“…Mill et al . ( 4 ) analyzed the utility of different computer-based technologies for preprocedural planning of LAAC. The authors underlined different strengths of each modality.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Mill et al . ( 4 ) analyzed the utility of different computer-based technologies for preprocedural planning of LAAC. The authors underlined different strengths of each modality.…”
Section: Discussionmentioning
confidence: 99%
“…Advances in multimodal imaging have been a cornerstone for the evolution of minimally invasive interventional procedures (1). Virtual reality (VR) visualization of the heart is a novel technique in planning of interventional procedures such as left atrial appendage closure (LAAC), promising a better understanding of patient-specific complex anatomy and an increase in precision of depth and scaling (2)(3)(4).…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, adequate preprocedural imaging may reduce deployment attempts and the average number of devices used per patient (8). Advanced technologies offering true 3D visualization of the LAA have gained attention recently (9)(10)(11). Among these, 3D printing may precisely visualize patient-specific anatomy of the left atrium and LAA (12) and has shown to improve procedural parameters in LAAC (13).…”
Section: Introductionmentioning
confidence: 99%