ArticleBiomedical optics express2018
Reconstructing a 3D heart surface with stereo-endoscope by learning eigen-shapes.
Article in Biomedical optics express, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed.
- Deformable cardiac surface tracking by adaptive estimation algorithms.Scientific reports · 2023Article
- Low-Dose CT Image Post-Processing Based on Learn-Type Sparse Transform.Sensors (Basel, Switzerland) · 2022Article
- Feature matching for texture-less endoscopy images via superpixel vector field consistency.Biomedical optics express · 2022Article
- Sparse Angle CBCT Reconstruction Based on Guided Image Filtering.Frontiers in oncology · 2022Article
- Control of Time Delay Force Feedback Teleoperation System With Finite Time Convergence.Frontiers in neurorobotics · 2022Article
- Study on Reconstruction and Feature Tracking of Silicone Heart 3D Surface.Sensors (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
An efficient approach to dynamically reconstruct a region of interest (ROI) on a beating heart from stereo-endoscopic video is developed. A ROI is first pre-reconstructed with a decoupled high-rank thin plate spline model. Eigen-shapes are learned from the pre-reconstructed data by using principal component analysis (PCA) to build a low-rank statistical deformable model for reconstructing subsequent frames. The linear transferability of PCA is proved, which allows fast eigen-shape learning. A general dynamic reconstruction framework is developed that formulates ROI reconstruction as an optimization problem of model parameters, and an efficient second-order minimization algorithm is derived to iteratively solve it. The performance of the proposed method is finally validated on stereo-endoscopic videos recorded by da Vinci robots.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.