{"title":"A Prototype \"Smart\" 3-Dimensionally Printed Model Showcasing Interactivity: Implementing Voice Command for the Ventricular and Cisternal Systems.","authors":"Cullen Fleming, Navid Mostaghni, Iman Elsayed, Sabrina Hsiao, Raheleh Taghvaei, Lauren Arsenault, Ramin Javan","doi":"10.1097/RCT.0000000000001695","DOIUrl":null,"url":null,"abstract":"<p><strong>Abstract: </strong>The next step in the evolution of static 3-dimensionally (3D) printed models may be the creation of \"smart\" models, where subcomponents can be seamlessly interacted with through a feedback mechanism, with potential applications in trainee education and patient counseling. Considering the complexity of the ventricular and cisternal systems, they were chosen for segmentation, using Materialize InPrint with outward hollowing using 2.5-mm wall thickness. After 3D printing, dedicated holes were drilled for placement of wired light emitting diodes (LEDs) in anatomical landmarks and connected to an Arduino Uno microcontroller. This was coupled to a Bluetooth transceiver for communication via an Android cellular device. C++ was used to match each LED to a particular pin number on the Arduino board. When the user verbalizes a structure, the Bluetooth sends a command to the Arduino, where the code looks for the \"trigger word,\" subsequently sending a signal to illuminate the corresponding LED. The system requires wireless/cellular data for communication with the voice recognition engine on the Google server. The described method may serve as a prototype for when 3D printers are capable of simultaneously printing conductive material or wiring along with the main material within a model to allow for integration of feedback devices.</p>","PeriodicalId":15402,"journal":{"name":"Journal of Computer Assisted Tomography","volume":" ","pages":""},"PeriodicalIF":1.0000,"publicationDate":"2025-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Computer Assisted Tomography","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/RCT.0000000000001695","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
引用次数: 0
Abstract
Abstract: The next step in the evolution of static 3-dimensionally (3D) printed models may be the creation of "smart" models, where subcomponents can be seamlessly interacted with through a feedback mechanism, with potential applications in trainee education and patient counseling. Considering the complexity of the ventricular and cisternal systems, they were chosen for segmentation, using Materialize InPrint with outward hollowing using 2.5-mm wall thickness. After 3D printing, dedicated holes were drilled for placement of wired light emitting diodes (LEDs) in anatomical landmarks and connected to an Arduino Uno microcontroller. This was coupled to a Bluetooth transceiver for communication via an Android cellular device. C++ was used to match each LED to a particular pin number on the Arduino board. When the user verbalizes a structure, the Bluetooth sends a command to the Arduino, where the code looks for the "trigger word," subsequently sending a signal to illuminate the corresponding LED. The system requires wireless/cellular data for communication with the voice recognition engine on the Google server. The described method may serve as a prototype for when 3D printers are capable of simultaneously printing conductive material or wiring along with the main material within a model to allow for integration of feedback devices.
期刊介绍:
The mission of Journal of Computer Assisted Tomography is to showcase the latest clinical and research developments in CT, MR, and closely related diagnostic techniques. We encourage submission of both original research and review articles that have immediate or promissory clinical applications. Topics of special interest include: 1) functional MR and CT of the brain and body; 2) advanced/innovative MRI techniques (diffusion, perfusion, rapid scanning); and 3) advanced/innovative CT techniques (perfusion, multi-energy, dose-reduction, and processing).