Improving 3-D Imaging Breast Cancer Diagnosis Systems Using a New Method for Placement of Near-Infrared Sources and Detectors

Authors

  • abdolreza esmaeli Plasma and nuclear fusion research school, Nuclear Science and Technology Research Institute, Tehran, Iran
  • Farbod setoudeh Department of Electrical Engineering, Arak University of Technology, University Ave., Arak, Iran
  • Yaser Noorishirazi 3Electrical Engineering Department, Arak Branch, Islamic Azad University, Arak, Iran
Abstract:

The objective of this research was to improve 3-D imaging system by near-infrared light emission in breast tissue to achieve a more accurate diagnosis of tumor. The results of repeated experiments in this research have shown that with 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 determine a more suitable placement of sources and detectors. In this article, no human breast cancer samples were examined due to inaccessibility to a 3-D imaging system by near-infrared lights. Since such experiments should be conducted frequently to obtain more accurate reconstructed images, the proposed method was evaluated using the optical images reconstruction toolbox of NIRFAST 7.2 that has been coding in the MATLAB programming environment. The results were then compared with the results of similar articles. The obtained results showed that the proposed placement of sources and detectors can detect abnormal areas with a much lower error rate. Furthermore, the proposed placement of sources and detectors achieved a good result in simultaneously diagnosing two abnormal areas.

Upgrade to premium to download articles

Sign up to access the full text

Already have an account?login

similar resources

Diagnosis of Breast Cancer using a Combination of Genetic Algorithm and Artificial Neural Network in Medical Infrared Thermal Imaging

Introduction This study is an effort to diagnose breast cancer by processing the quantitative and qualitative information obtained from medical infrared imaging. The medical infrared imaging is free from any harmful radiation and it is one of the best advantages of the proposed method. By analyzing this information, the best diagnostic parameters among the available parameters are selected and ...

full text

Breast cancer imaging: a new role of Tc-99m sestamibi prone scintimammography for diagnosisof breast cancer

Mammography remians the procedure of choice in screening asymptomatic women for breast cancer. However, in patients with symptoms, other types of imaging play an important role in the detection of malignancies. The high cost and lack of availability of PET and MRI largely precludes the use in this patient population. TI-201 is nbt the imaging agent of choice because of its wash-out and redistri...

full text

Change of Hemoglobin Concentration with nano particles can predict breast cancer using near infrared source?

Introduction: Early detection and treatment of breast cancer may be helping to save the lives of patients. Many new techniques have been urban to detect breast cancer. One of them is the use of nano-particles for accuracy and early diagnosis after photo transfer. In this study, rod gold nano particles was used according their ability to change light source transfer intensity. ...

full text

A New Method for Improving Computational Cost of Open Information Extraction Systems Using Log-Linear Model

Information extraction (IE) is a process of automatically providing a structured representation from an unstructured or semi-structured text. It is a long-standing challenge in natural language processing (NLP) which has been intensified by the increased volume of information and heterogeneity, and non-structured form of it. One of the core information extraction tasks is relation extraction wh...

full text

diagnosis of breast cancer using a combination of genetic algorithm and artificial neural network in medical infrared thermal imaging

introduction this study is an effort to diagnose breast cancer by processing the quantitative and qualitative information obtained from medical infrared imaging. the medical infrared imaging is free from any harmful radiation and it is one of the best advantages of the proposed method. by analyzing this information, the best diagnostic parameters among the available parameters are selected and ...

full text

My Resources

Save resource for easier access later

Save to my library Already added to my library

{@ msg_add @}


Journal title

volume 33  issue 6

pages  -

publication date 2020-06-01

By following a journal you will be notified via email when a new issue of this journal is published.

Hosted on Doprax cloud platform doprax.com

copyright © 2015-2023