ArticleSimplifying medical ultrasound : third International Workshop, ASMUS 2022, held in conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings. ASMUS (Workshop) (3rd : 2022 : Singapore)2022
Efficient Pix2Vox++ for 3D Cardiac Reconstruction from 2D echo views.
Article in Simplifying medical ultrasound : third International Workshop, ASMUS 2022, held in conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings. ASMUS (Workshop) (3rd : 2022 : Singapore), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Feasibility of whole heart 3D shape reconstruction from sparse echocardiographic views using CT-derived simulations.Scientific reports · 2026Article
- AcquisitionFocus: Joint Optimization of Acquisition Orientation and Cardiac Volume Reconstruction Using Deep Learning.Sensors (Basel, Switzerland) · 2024Article
- Echo from noise: synthetic ultrasound image generation using diffusion models for real image segmentation.Simplifying medical ultrasound : 4th International Workshop, ASMUS 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. ASMUS (Workshop) (4th : 2023 : Vancouver, B.C. ; Online) · 2023Article
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6 authors.
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Abstract
Accurate geometric quantification of the human heart is a key step in the diagnosis of numerous cardiac diseases, and in the management of cardiac patients. Ultrasound imaging is the primary modality for cardiac imaging, however acquisition requires high operator skill, and its interpretation and analysis is difficult due to artifacts. Reconstructing cardiac anatomy in 3D can enable discovery of new biomarkers and make imaging less dependent on operator expertise, however most ultrasound systems only have 2D imaging capabilities. We propose both a simple alteration to the Pix2Vox++ networks for a sizeable reduction in memory usage and computational complexity, and a pipeline to perform reconstruction of 3D anatomy from 2D standard cardiac views, effectively enabling 3D anatomical reconstruction from limited 2D data. We evaluate our pipeline using synthetically generated data achieving accurate 3D whole-heart reconstructions (peak intersection over union score > 0.88) from just two standard anatomical 2D views of the heart. We also show preliminary results using real echo images.
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