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Terahertz Imaging and Sensing-Based Biomedical Applications

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensing and Imaging".

Deadline for manuscript submissions: closed (30 November 2022) | Viewed by 1845

Special Issue Editor


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Guest Editor
College of Electronic Science & Engineering, Jilin University, Changchun 130012, China
Interests: computational imaging; machine learning; artificial intelligence; compressive sensing; biometric information recognition; medical image segmentation

Special Issue Information

Dear Colleagues,

Terahertz (THz) wave lies between the microwave and infrared bands in the electromagnetic spectrum ranging from 30 μm to 3000 μm. With their non-ionizing, non-invasive, high penetration, high resolution, and spectral fingerprinting properties, THz spectroscopy and imaging have attracted significant interest for qualitative and quantitative research in the biomedical field. Combined with modern imaging technologies and artificial intelligence algorithms, THz-based imaging shows promising applications in biomedical applications such as the early diagnosis of cancer, accurate boundary determination of pathological tissue, non-destructive detection of superficial tissue, etc. Despite decades of development, THz technologies still face challenges in practical biomedical applications. Within this context, this Special Issue aims to collect and report the latest THz sensing and imaging developments in both fundamental science and practical biomedical applications. The topics covered within this Special Issue include but are not limited to the following:

  • Advanced THz sensing and imaging technologies;
  • Novel bioimaging and biosensing based on THz technologies;
  • THz spectroscopy qualitative and quantitative analysis;
  • Application of THz technologies in biodetection and medical imaging;
  • Impact of THz wave on biomolecules, cells, or organs;
  • Other promising biomedical applications of THz technologies.

Prof. Dr. Shuxu Guo
Guest Editor

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Published Papers (1 paper)

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Research

10 pages, 3807 KiB  
Article
Enhanced Terahertz Phase Retrieval Imaging by Unequal Spaced Measurement
by Chungui Xing, Feng Qi and Shuxu Guo
Sensors 2022, 22(10), 3816; https://doi.org/10.3390/s22103816 - 18 May 2022
Cited by 1 | Viewed by 1562
Abstract
Terahertz lensless phase retrieval imaging is a promising technique for non-destructive inspection applications. In the conventional multiple-plane phase retrieval method, the convergence speed due to wave propagations and measures with equal interval distance is slow and leads to stagnation. To address this drawback, [...] Read more.
Terahertz lensless phase retrieval imaging is a promising technique for non-destructive inspection applications. In the conventional multiple-plane phase retrieval method, the convergence speed due to wave propagations and measures with equal interval distance is slow and leads to stagnation. To address this drawback, we propose a nonlinear unequal spaced measurement scheme in which the interval space between adjacent measurement planes is gradually increasing, it can significantly increase the diversity of the intensity with a smaller number of required images. Both the simulation and experimental results demonstrate that our method enables quantitative phase and amplitude imaging with a faster speed and better image quality, while also being computationally efficient and robust to noise. Full article
(This article belongs to the Special Issue Terahertz Imaging and Sensing-Based Biomedical Applications)
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