A Prototype "Smart" 3-Dimensionally Printed Model Showcasing Interactivity: Implementing Voice Command for the Ventricular and Cisternal Systems.

IF 1.3 4区 医学 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Journal of Computer Assisted Tomography Pub Date : 2025-05-01 Epub Date: 2025-01-28 DOI:10.1097/RCT.0000000000001695
Cullen Fleming, Navid Mostaghni, Iman Elsayed, Sabrina Hsiao, Raheleh Taghvaei, Lauren Arsenault, Ramin Javan
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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.

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展示交互性的“智能”三维打印模型原型:实现对心室和脑池系统的语音命令。
摘要:静态3D打印模型发展的下一步可能是创建“智能”模型,其中子组件可以通过反馈机制无缝交互,在培训生教育和患者咨询方面具有潜在的应用前景。考虑到心室和脑池系统的复杂性,选择它们进行分割,使用Materialize InPrint,向外中空,壁厚2.5 mm。3D打印后,在解剖地标上钻出专用孔,用于放置有线发光二极管(led),并连接到Arduino Uno微控制器。这与蓝牙收发器相连,通过Android蜂窝设备进行通信。使用c++将每个LED与Arduino板上的特定引脚编号匹配。当用户说出一个结构时,蓝牙会向Arduino发送一个命令,Arduino的代码会寻找“触发词”,随后发送一个信号来照亮相应的LED。该系统需要无线/蜂窝数据与谷歌服务器上的语音识别引擎进行通信。当3D打印机能够同时打印导电材料或与模型内的主要材料一起布线以允许反馈设备的集成时,所描述的方法可以作为原型。
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来源期刊
CiteScore
2.50
自引率
0.00%
发文量
230
审稿时长
4-8 weeks
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).
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