Literature DB >> 19964041

Development of non-uniform breast phantom and its microwave imaging for tumor detection by CP-MCT.

Michio Miyakawa1, Sadaki Takata, Kenta Inotsume.   

Abstract

Phantom model of the breast which has actual shape and size has been developed for evaluation of microwave imaging by Chirp Pulse Microwave Computed Tomography (CP-MCT). This phantom model will also be successfully used for hyperthermia experiments using microwaves. This phantom model is consisted of four kinds of tissue mimicking materials, that is, the skin-, breast fat-, muscle-, and tumor-simulators. The principal ingredients of the phantom are water, liquid paraffin, super stuff (TX-150), sugar, and salt. It is easy to simulate permittivity of the real breasts in addition to the shape and size. This is the advantage of this non-homogeneous phantom. CP-MCT is a modality for microwave imaging of a human body using chirp pulse microwaves to extract the component which transmits the straight path between two antennas. Possibility of tumor detection by CP-MCT has been demonstrated by using the higher frequency model of CP-MCT and the non-homogeneous breast phantom.

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Year:  2009        PMID: 19964041     DOI: 10.1109/IEMBS.2009.5333383

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  3 in total

1.  Heterogeneous Anthropomorphic Phantoms with Realistic Dielectric Properties for Microwave Breast Imaging Experiments.

Authors:  Alireza Mashal; Fuqiang Gao; Susan C Hagness
Journal:  Microw Opt Technol Lett       Date:  2011-08       Impact factor: 1.392

2.  MRI-Derived 3-D-Printed Breast Phantom for Microwave Breast Imaging Validation.

Authors:  Matthew J Burfeindt; Timothy J Colgan; R Owen Mays; Jacob D Shea; Nader Behdad; Barry D Van Veen; Susan C Hagness
Journal:  IEEE Antennas Wirel Propag Lett       Date:  2012       Impact factor: 3.834

3.  Tissue-mimicking phantom materials with tunable optical properties suitable for assessment of diffuse reflectance spectroscopy during electrosurgery.

Authors:  Sara Azizian Amiri; Pieter Van Berckel; Marco Lai; Jenny Dankelman; Benno H W Hendriks
Journal:  Biomed Opt Express       Date:  2022-04-04       Impact factor: 3.562

  3 in total

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