ArticleSensors (Basel, Switzerland)2020
Nextmed: Automatic Imaging Segmentation, 3D Reconstruction, and 3D Model Visualization Platform Using Augmented and Virtual Reality.
Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
14 citing papers in PubMed.
- Application of case-based learning combined with three-dimensional image reconstruction technology in clinical teaching of liver ultrasound.BMC medical education · 2026Trial
- Feasibility of whole heart 3D shape reconstruction from sparse echocardiographic views using CT-derived simulations.Scientific reports · 2026Article
- Predicting the Effort Required to Manually Mend Auto-Segmentations.IEEE journal of biomedical and health informatics · 2026Article
- Towards user-centered interactive medical image segmentation in VR with an assistive AI agent.Virtual reality · 2026Article
- Challenges in Pedicatric Orthodontics and Radiology: Evidence from Recent Studies and Implications for Clinical Practice: A Narrative Review.Galen medical journal · 2024Review
- Experience in the Application of Augmented Reality Technology in the Surgical Treatment of Patients Suffering Primary and Recurrent Pelvic Tumors.Journal of personalized medicine · 2023Article
- Survey of methods and principles in three-dimensional reconstruction from two-dimensional medical images.Visual computing for industry, biomedicine, and art · 2023Review
- Artificial Intelligence-Assisted Evaluation of the Spatial Relationship between Brain Arteriovenous Malformations and the Corticospinal Tract to Predict Postsurgical Motor Defects.AJNR. American journal of neuroradiology · 2023Article
- COVIDiagnostics (Basel, Switzerland) · 2022Article
- Virtual Reality visualization for computerized COVID-19 lesion segmentation and interpretation.Biomedical signal processing and control · 2022Article
- Present and future of extraoral maxillofacial prosthodontics: Cancer rehabilitation.Frontiers in oral health · 2022Review
- A deep-learning approach for direct whole-heart mesh reconstruction.Medical image analysis · 2021Article
- New methods and technologies for enhancing usability and accessibility of educational data.Universal access in the information society · 2020Article
- Marching Cubes and Histogram Pyramids for 3D Medical Visualization.Journal of imaging · 2020Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
The visualization of medical images with advanced techniques, such as augmented reality and virtual reality, represent a breakthrough for medical professionals. In contrast to more traditional visualization tools lacking 3D capabilities, these systems use the three available dimensions. To visualize medical images in 3D, the anatomical areas of interest must be segmented. Currently, manual segmentation, which is the most commonly used technique, and semi-automatic approaches can be time consuming because a doctor is required, making segmentation for each individual case unfeasible. Using new technologies, such as computer vision and artificial intelligence for segmentation algorithms and augmented and virtual reality for visualization techniques implementation, we designed a complete platform to solve this problem and allow medical professionals to work more frequently with anatomical 3D models obtained from medical imaging. As a result, the Nextmed project, due to the different implemented software applications, permits the importation of digital imaging and communication on medicine (dicom) images on a secure cloud platform and the automatic segmentation of certain anatomical structures with new algorithms that improve upon the current research results. A 3D mesh of the segmented structure is then automatically generated that can be printed in 3D or visualized using both augmented and virtual reality, with the designed software systems. The Nextmed project is unique, as it covers the whole process from uploading dicom images to automatic segmentation, 3D reconstruction, 3D visualization, and manipulation using augmented and virtual reality. There are many researches about application of augmented and virtual reality for medical image 3D visualization; however, they are not automated platforms. Although some other anatomical structures can be studied, we focused on one case: a lung study. Analyzing the application of the platform to more than 1000 dicom images and studying the results with medical specialists, we concluded that the installation of this system in hospitals would provide a considerable improvement as a tool for medical image visualization.
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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.