ArticleLaryngoscope investigative otolaryngology2024
3D-printed neck phantoms with detailed anatomy for ultrasound-guided procedure and device testing.
Article in Laryngoscope investigative otolaryngology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Introduction of a Realistic Body-Mimicking Ultrasound Phantom with Integrated Optical Feedback for the Training of Ultrasound-Guided Thyroid Nodule Punctures.Sensors (Basel, Switzerland) · 2026Article
- Characterization of soft tissue-mimicking materials for ultrasound training phantoms.Journal of materials science. Materials in medicine · 2026Article
- Article
- Sodium alginate-based tissue-mimicking phantom with tunable optical properties for laser thermotherapy.Biomedical optics express · 2025Article
- Wearable and Flexible Sensor Devices: Recent Advances in Designs, Fabrication Methods, and Applications.Sensors (Basel, Switzerland) · 2025Review
- 3D-printed neck phantoms with detailed anatomy for ultrasound-guided procedure and device testing.Laryngoscope investigative otolaryngology · 2024Article
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Authors and funding
5 authors.
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Abstract
Objectives: With rapid advances in ultrasound-guided procedures, there is an unmet need for echogenic phantoms with sufficient anatomical details for artificial intelligence and ultrasound-guided device testing. We developed a method for creating neck phantoms for novel otolaryngology-related device testing. To achieve accurate representation of the anatomy, we utilized CT scans and 3D printing technology to create customized agar molds, thus providing high-fidelity yet cost-effective tools. Methods: Based on previous studies, the key components in our neck phantom include the cervical vertebrae, trachea, common carotid arteries, internal jugular veins, thyroid gland, and surrounding soft tissue. Open-source image analysis software were employed to process CT data to generate high fidelity 3D models of the target structures. Resin molds were 3D printed and filled with various agar mixtures to mimic anatomical echogenicity. Results: Following the method proposed, we successfully assembled the neck phantom which provided a detailed representation of the target structures. To evaluate the results, ultrasound data was collected on the phantom and living tissue and analyzed with ImageJ. We were able to demonstrate echogenicity comparable to that of living tissue. Conclusion: The proposed method for building neck phantoms with detailed anatomical features offers a valuable, detailed, low-cost tool for medical training and device testing in otolaryngology, particularly for novel devices that involve artificial intelligence (AI) guidance and robotic-based needle insertion. Additional anatomical refinements and validation studies could further enhance the consistency and accuracy, thus paving the way for future advancements in ultrasound training and research, and ultimately benefiting patient care and safety.
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