Photonics for Biomedical Applications: Design and Integration of Optical Imaging Systems

A special issue of Photonics (ISSN 2304-6732). This special issue belongs to the section "Biophotonics and Biomedical Optics".

Deadline for manuscript submissions: 30 April 2025 | Viewed by 992

Special Issue Editor

College of Science, Shanghai Institute of Technology, Shanghai 201418, China
Interests: optical coherence tomography; engineering optics; photorefractive optics; digital holography and biophotonics

Special Issue Information

Dear Colleagues,

The special issue "Photonics for Biomedical Applications: Design and Integration of Optical Imaging Systems" focuses on the development and integration of advanced photonics technologies for biomedical imaging. It explores innovative optical imaging systems designed to enhance the diagnosis and treatment of various medical conditions. Topics covered include the design of optical components, system integration strategies, and high-end imaging modalities, such as Optical Coherence Tomography (OCT), fluorescence imaging, photoacoustic technique, and multiphoton microscopy. The issue also emphasizes the importance of improving resolution, imaging speed, and depth for clinical applications. These advancements aim to provide more accurate and real-time imaging solutions, thereby transforming how diseases are diagnosed, monitored, and treated. The issue serves as a platform for researchers and professionals to present their latest findings, share insights on optical imaging systems, and discuss future directions in the field of biomedical photonics.

Dr. Cuixia Dai
Guest Editor

Manuscript Submission Information

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Keywords

  • biomedical imaging
  • optical coherence tomography (OCT)
  • fluorescence imaging
  • multiphoton microscopy
  • photoacoustic technique
  • imaging system design
  • optical system integration
  • multimodal imaging

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Published Papers (1 paper)

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Research

11 pages, 4367 KiB  
Article
Gray-Level Co-Occurrence Matrix Uniformity Correction Algorithm in Positron Emission Tomographic Image: A Phantom Study
by Kyuseok Kim and Youngjin Lee
Photonics 2025, 12(1), 33; https://doi.org/10.3390/photonics12010033 - 3 Jan 2025
Viewed by 747
Abstract
High uniformity of positron emission tomography (PET) images in the field of nuclear medicine is necessary to obtain excellent and stable data from the system. In this study, we aimed to apply and optimize a PET/magnetic resonance (MR) imaging system by approaching the [...] Read more.
High uniformity of positron emission tomography (PET) images in the field of nuclear medicine is necessary to obtain excellent and stable data from the system. In this study, we aimed to apply and optimize a PET/magnetic resonance (MR) imaging system by approaching the gray-level co-occurrence matrix (GLCM), which is known to be efficient in the uniformity correction of images. CAIPIRINHA Dixon-VIBE was used as an MR image acquisition pulse sequence for the fast and accurate attenuation correction of PET images, and the phantom was constructed by injecting NaCl and NaCl + NiSO4 solutions. The lambda value of the GLCM algorithm for uniformity correction of the acquired PET images was optimized in terms of energy and contrast. By applying the GLCM algorithm optimized in terms of energy and contrast to the PET images of phantoms using NaCl and NaCl + NiSO4 solutions, average percent image uniformity (PIU) values of 26.01 and 83.76 were derived, respectively. Compared to the original PET image, an improved PIU value of more than 30% was derived from the PET image to which the proposed optimized GLCM algorithm was applied. In conclusion, we demonstrated that an algorithm optimized in terms of the GLCM energy and contrast can improve the uniformity of PET images. Full article
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