Terahertz cancer imaging and sensing: open research challenges and opportunities

被引:6
|
作者
Gezimati, Mavis [1 ]
Singh, Ghanshyam [1 ]
机构
[1] Univ Johannesburg, Ctr Smart Informat & Commun Syst, Dept Elect & Elect Engn Sci, POB 524, Auckland Pk Kingsway Campus, ZA-2006 Johannesburg, South Africa
关键词
Cancer detection; Challenges; Merits; Terahertz technology; Terahertz imaging and sensing; Biomedical application; Research opportunities; Recent trends; SPECTROSCOPY; TISSUE; DIAGNOSIS; SKIN; RECONSTRUCTION; MODEL;
D O I
10.1007/s11082-023-04991-7
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
There has been a rapid development of THz technology-sources, detectors and various THz imaging and sensing techniques. The THz technology demonstrates great potential as a modality for early, label free, non-ionizing and non-invasive detection of cancer. Some progressive technological development milestones have been achieved in this regard, however, to become clinically competitive and to provide the sought after real operational convenience, there is need for further research and development to overcome the existing challenges. This paper provides recent trends and perspectives through identification of existing challenges for the development of THz imaging and sensing systems that can evolve into actual medical modalities. We provide an overview of various aspects of THz technology, including techniques for imaging and sensing, mechanisms for THz image contrast and models for tissue dielectric responses to THz waves. The THz imaging application for detection of various cancers is briefed. The advantages of THz cancer imaging and sensing as well as the existing challenges are identified, with recommendations provided in contribution to future research. Further, some recent THz imaging and sensing developments such as the near-field methods to break the diffraction limit including waveguides, resonance and plasmonic metasurfaces are discussed. We emphasize the contribution of analytical algorithms that are based on machine learning, in particular, deep learning for the development of THz technology.
引用
收藏
页数:33
相关论文
共 50 条
  • [1] Terahertz cancer imaging and sensing: open research challenges and opportunities
    Mavis Gezimati
    Ghanshyam Singh
    Optical and Quantum Electronics, 2023, 55
  • [2] Terahertz Imaging and Sensing for Healthcare: Current Status and Future Perspectives
    Gezimati, Mavis
    Singh, Ghanshyam
    IEEE ACCESS, 2023, 11 : 18590 - 18619
  • [3] Terahertz Imaging for Breast Cancer Detection
    Wang, Lulu
    SENSORS, 2021, 21 (19)
  • [4] Open-World Recognition in Remote Sensing: Concepts, challenges, and opportunities
    Fang, Leyuan
    Yang, Zhen
    Ma, Tianlei
    Yue, Jun
    Xie, Weiying
    Ghamisi, Pedram
    Li, Jun
    IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE, 2024, 12 (02) : 8 - 31
  • [5] Challenges and opportunities in rare cancer research in China
    Xue, Jianxin
    Lyu, Qunyan
    SCIENCE CHINA-LIFE SCIENCES, 2024, 67 (02) : 274 - 285
  • [6] Challenges and opportunities of terahertz technology in construction and demolition waste management
    Abina, Andreja
    Puc, Uros
    Zidansek, Aleksander
    JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2022, 315
  • [7] The potential of terahertz sensing for cancer diagnosis
    Vafapour, Zohreh
    Keshavarz, Afsaneh
    Ghahraloud, Hossain
    HELIYON, 2020, 6 (12)
  • [8] Research in Perioperative Care of the Cancer Patient: Opportunities and Challenges
    Cata, Juan P.
    CURRENT ONCOLOGY, 2023, 30 (01) : 1186 - 1195
  • [10] The Challenges and Opportunities of LncRNAs in Ovarian Cancer Research and Clinical Use
    Salamini-Montemurri, Martin
    Lamas-Maceiras, Monica
    Barreiro-Alonso, Aida
    Vizoso-Vazquez, Angel
    Rodriguez-Belmonte, Esther
    Quindos-Varela, Maria
    Esperanza Cerdan, Maria
    CANCERS, 2020, 12 (04)