Improving Three-Dimensional Near-Infrared Imaging Systems for Breast Cancer Diagnosis

被引:3
|
作者
Shirazi, Yasser Noori [1 ]
Esmaeli, Abdolreza [1 ,2 ]
Tavakoli, Mohammad Bagher [1 ]
Setoudeh, Farbod [3 ]
机构
[1] Islamic Azad Univ, Dept Elect Engn, Arak Branch, Arak, Iran
[2] Nucl Sci & Technol Res Inst, Plasma & Nucl Fus Res Sch, Tehran, Iran
[3] Arak Univ Technol, Dept Elect Engn, Arak, Iran
关键词
Biomedical imaging; Breast cancer diagnosis; Imaging systems; Medical diagnostic imaging; Near infrared;
D O I
10.1080/03772063.2021.1878064
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
The improved three-dimensional imaging system by near-infrared light emission in breast tissue to more accurate diagnosis of tumour is presented in this paper. Based on the repeated experiments in this research, the result is that in this imaging system a more accurate diagnosis of abnormal area depends on the location of the sources and detectors. Therefore, an optimal location model has been proposed to a more suitable placement of sources and detectors. In this article, human samples with the breast cancer have not been examined due to the inaccessibility of three-dimensional imaging system by near-infrared lights. These experiments should have been conducted frequently for obtaining the more accurate reconstructed images, in order to evaluate the optical image reconstruction toolbox of NIRFAST 7.2 that has been coded in MATLAB programming environment and then the obtained results have been compared with the results of similar articles. The obtained results have shown that the proposed placement of sources and detectors has detected the abnormal area with a much lower error rate as well as the proposed placement of sources and detectors has provided a good result in simultaneous diagnosis of the two abnormal areas.
引用
收藏
页码:1906 / 1914
页数:9
相关论文
共 50 条
  • [41] Handheld low frequency phased array near-infrared (NIR) breast cancer localizer
    Liu, Q
    Chen, Y
    Chance, B
    Luo, QM
    OPTICAL TOMOGRAPHY AND SPECTROSCOPY OF TISSUE V, 2003, 4955 : 656 - 663
  • [42] Breast cancer spatial heterogeneity in near-infrared spectra and the prediction of neoadjuvant chemotherapy response
    Santoro, Ylenia
    Leproux, Anais
    Cerussi, Albert
    Tromberg, Bruce
    Gratton, Enrico
    JOURNAL OF BIOMEDICAL OPTICS, 2011, 16 (09)
  • [43] Detection of breast cancer cells by a near-infrared fluorescent probe targeting mitochondrial viscosity
    Shi, Yu
    Liu, Junjun
    Liu, Yingying
    Quan, Hong
    Li, Bo
    Lu, Haili
    Ding, Hanzhi
    Yu, Zuoren
    Han, Jing
    HELIYON, 2023, 9 (08)
  • [44] Performance test methods for near-infrared fluorescence imaging
    Kanniyappan, Udayakumar
    Wang, Bohan
    Yang, Charles
    Ghassemi, Pejman
    Litorja, Maritoni
    Suresh, Nitin
    Wang, Quanzeng
    Chen, Yu
    Pfefer, T. Joshua
    MEDICAL PHYSICS, 2020, 47 (08) : 3389 - 3401
  • [45] Identification of overlapped near-infrared bands of glucose anomers using two-dimensional near-infrared and middle-infrared correlation spectroscopy
    Awichi, A
    Tee, EM
    Srikanthan, G
    Zhao, W
    APPLIED SPECTROSCOPY, 2002, 56 (07) : 897 - 901
  • [46] A near-infrared ratiometric fluorescent probe for the sensing and imaging of sulfur dioxide derivatives in living systems
    Huang, Yong
    Liu, Peilian
    Li, Bowen
    Wu, Chongzhi
    Li, Zhiyao
    Zhang, Peisheng
    Xie, Xin
    SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, 2025, 324
  • [47] Multispectral near-infrared tomography:: a case study in compensating for water and lipid content in hemoglobin imaging of the breast
    McBride, TO
    Pogue, BW
    Poplack, S
    Soho, S
    Wells, WA
    Jiang, SD
    Österberg, UL
    Paulsen, KD
    JOURNAL OF BIOMEDICAL OPTICS, 2002, 7 (01) : 72 - 79
  • [48] Tissue phantom-based breast cancer detection using continuous near-infrared sensor
    Liu, Dan
    Liu, Xin
    Zhang, Yan
    Wang, Qisong
    Lu, Jingyang
    BIOENGINEERED, 2016, 7 (05) : 321 - 326
  • [49] In vivo diagnosis of colonic precancer and cancer using near-infrared autofluorescence spectroscopy and biochemical modeling
    Shao, Xiaozhuo
    Zheng, Wei
    Huang, Zhiwei
    JOURNAL OF BIOMEDICAL OPTICS, 2011, 16 (06)
  • [50] Dynamic infrared imaging for breast cancer diagnosis: a feature based registration approach
    Agostini, Valentina
    Ala, Ada
    Bussone, Riccardo
    Ciarlini, Alessandro
    Delsanto, Silvia
    Molinari, Filippo
    Possolo, Enrico
    Zanon, Claudio
    2006 IEEE INTERNATIONAL WORKSHOP ON MEDICAL MEASUREMENT AND APPLICATIONS, 2006, : 58 - +