Benbelkacem Samir, Zenati-Henda Nadia, Zerrouki Nabil, Oulefki Adel, Agaian Sos, Masmoudi Mostefa, Bentaleb Ahmed, Liew Alex
Division Robotique et Productique, Centre de Développement des Technologies Avancées, Baba Hassen 16081, Algeria.
Computer Science Department, City University of New York, New York, NY 10314, USA.
Diagnostics (Basel). 2023 Feb 3;13(3):567. doi: 10.3390/diagnostics13030567.
The World Health Organization estimates that there were around 10 million deaths due to cancer in 2020, and lung cancer was the most common type of cancer, with over 2.2 million new cases and 1.8 million deaths. While there have been advances in the diagnosis and prediction of lung cancer, there is still a need for new, intelligent methods or diagnostic tools to help medical professionals detect the disease. Since it is currently unable to detect at an early stage, speedy detection and identification are crucial because they can increase a patient's chances of survival. This article focuses on developing a new tool for diagnosing lung tumors and providing thermal touch feedback using virtual reality visualization and thermal technology. This tool is intended to help identify and locate tumors and measure the size and temperature of the tumor surface. The tool uses data from CT scans to create a virtual reality visualization of the lung tissue and includes a thermal display incorporated into a haptic device. The tool is also tested by touching virtual tumors in a virtual reality application. On the other hand, thermal feedback could be used as a sensory substitute or adjunct for visual or tactile feedback. The experimental results are evaluated with the performance comparison of different algorithms and demonstrate that the proposed thermal model is effective. The results also show that the tool can estimate the characteristics of tumors accurately and that it has the potential to be used in a virtual reality application to "touch" virtual tumors. In other words, the results support the use of the tool for diagnosing lung tumors and providing thermal touch feedback using virtual reality visualization, force, and thermal technology.
世界卫生组织估计,2020年因癌症死亡的人数约为1000万,肺癌是最常见的癌症类型,新增病例超过220万,死亡人数达180万。虽然肺癌的诊断和预测已有进展,但仍需要新的智能方法或诊断工具来帮助医疗专业人员检测该疾病。由于目前无法在早期阶段进行检测,快速检测和识别至关重要,因为这可以增加患者的生存几率。本文重点介绍开发一种用于诊断肺肿瘤并使用虚拟现实可视化和热技术提供热触觉反馈的新工具。该工具旨在帮助识别和定位肿瘤,并测量肿瘤表面的大小和温度。该工具利用CT扫描数据创建肺组织的虚拟现实可视化,并包括一个集成在触觉设备中的热显示。该工具还通过在虚拟现实应用中触摸虚拟肿瘤进行测试。另一方面,热反馈可以用作视觉或触觉反馈的感官替代或辅助。通过不同算法的性能比较对实验结果进行评估,结果表明所提出的热模型是有效的。结果还表明,该工具可以准确估计肿瘤的特征,并且有潜力用于虚拟现实应用中“触摸”虚拟肿瘤。换句话说,结果支持使用该工具进行肺肿瘤诊断,并使用虚拟现实可视化、力和热技术提供热触觉反馈。