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
  • [31] Cancer survivorship research: State of knowledge, challenges and opportunities
    Aziz, Noreen M.
    ACTA ONCOLOGICA, 2007, 46 (04) : 417 - 432
  • [32] Cancer education and research in international settings: Challenges and opportunities
    Amr S. Soliman
    Journal of Cancer Education, 2007, 22 : 137 - 139
  • [33] Challenges and research opportunities for lung cancer screening in China
    Wang, Zixing
    Wang, Yuyan
    Huang, Yao
    Xue, Fang
    Han, Wei
    Hu, Yaoda
    Wang, Lei
    Song, Wei
    Jiang, Jingmei
    CANCER COMMUNICATIONS, 2018, 38
  • [34] Cancer Research Training in Puerto Rico: Challenges and Opportunities
    Rios, Ilka C.
    PUERTO RICO HEALTH SCIENCES JOURNAL, 2010, 29 (03) : 332 - 333
  • [35] Epigenetic Research in Cancer Epidemiology: Trends, Opportunities, and Challenges
    Verma, Mukesh
    Rogers, Scott
    Divi, Rao L.
    Schully, Sheri D.
    Nelson, Stefanie
    Su, Joseph
    Ross, Sharon A.
    Pilch, Susan
    Winn, Deborah M.
    Khoury, Muin J.
    CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION, 2014, 23 (02) : 223 - 233
  • [36] Cancer research in Pakistan: Opportunities, challenges and the way forward
    Hassan, Mariam
    Butt, Zahid Ahmad
    JOURNAL OF CANCER POLICY, 2022, 34
  • [37] Opportunities and Challenges in Rural Cancer Research: An Epidemiologic Perspective
    Ghazarian, Armen A.
    Martin, Dameli N.
    Lam, Tram K.
    CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION, 2018, 27 (11) : 1245 - 1247
  • [38] Terahertz Imaging with Compressed Sensing
    Liu, Lin
    Zhang, Zijian
    Gan, Lu
    Shen, Yao-chun
    Huang, Yi
    PROCEEDINGS OF 2016 IEEE 9TH UK-EUROPE-CHINA WORKSHOP ON MILLIMETRE WAVES AND TERAHERTZ TECHNOLOGIES (UCMMT), 2016, : 50 - 53
  • [39] Imaging and sensing with terahertz radiation
    Mittleman, DM
    Review of Progress in Quantitative Nondestructive Evaluation, Vols 24A and 24B, 2005, 760 : 25 - 32
  • [40] Big IoT Data Analytics: Architecture, Opportunities, and Open Research Challenges
    Marjani, Mohsen
    Nasaruddin, Fariza
    Gani, Abdullah
    Karim, Ahmad
    Hashem, Ibrahim Abaker Targio
    Siddiqa, Aisha
    Yaqoob, Ibrar
    IEEE ACCESS, 2017, 5 : 5247 - 5261