Literature DB >> 33925401

Electromagnetic Torso Scanning: A Review of Devices, Algorithms, and Systems.

Sasan Ahdi Rezaeieh1, Amin Darvazehban1, Azin S Janani1, Amin M Abbosh1.   

Abstract

The past decade has witnessed a surge into research on disruptive technologies that either challenge or complement conventional thoracic diagnostic modalities. The non-ionizing, non-invasive, compact, and low power requirements of electromagnetic (EM) techniques make them among the top contenders with varieties of proposed scanning systems, which can be used to detect wide range of thoracic illnesses. Different configurations, antenna topologies and detection or imaging algorithms are utilized in these systems. Hence, to appreciate their progress and assess their potential, a critical review of EM thoracic scanning systems is presented. Considering the numerous thoracic diseases, such as fatty liver disease, lung cancer, respiratory and heart related complications, this paper will exclusively focus on torso scanning systems, tracing the early foundation of research that studied the possibility of using EM waves to detect thoracic diseases besides exploring recent progresses. The advantages and disadvantages of proposed systems and future possibilities are thoroughly discussed.

Entities:  

Keywords:  antennas; electromagnetic imaging; processing algorithms; torso scanning

Mesh:

Year:  2021        PMID: 33925401     DOI: 10.3390/bios11050135

Source DB:  PubMed          Journal:  Biosensors (Basel)        ISSN: 2079-6374


  19 in total

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Authors:  S Y Semenov; R H Svenson; A E Bulyshev; A E Souvorov; A G Nazarov; Y E Sizov; A V Pavlovsky; V Y Borisov; B A Voinov; G I Simonova; A N Starostin; V G Posukh; G P Tatsis; V Y Baranov
Journal:  IEEE Trans Biomed Eng       Date:  1999-08       Impact factor: 4.538

2.  Reconstruction of two-dimensional permittivity distribution using the distorted Born iterative method.

Authors:  W C Chew; Y M Wang
Journal:  IEEE Trans Med Imaging       Date:  1990       Impact factor: 10.048

3.  A microwave imaging-based technique to localize an in-body RF source for biomedical applications.

Authors:  Rohit Chandra; Anders J Johansson; Mats Gustafsson; Fredrik Tufvesson
Journal:  IEEE Trans Biomed Eng       Date:  2014-11-05       Impact factor: 4.538

4.  Chronic respiratory diseases global mortality trends, treatment guidelines, life style modifications, and air pollution: preliminary analysis.

Authors:  Nikolai Khaltaev; Svetlana Axelrod
Journal:  J Thorac Dis       Date:  2019-06       Impact factor: 2.895

5.  Microwave tomography for detection/imaging of myocardial infarction. I. Excised canine hearts.

Authors:  Serguei Y Semenov; Alexander E Bulyshev; Vitaly G Posukh; Yuri E Sizov; Thomas C Willams; Alexander E Souvorov
Journal:  Ann Biomed Eng       Date:  2003-03       Impact factor: 3.934

Review 6.  Clinical and radiologic features of pulmonary edema.

Authors:  T Gluecker; P Capasso; P Schnyder; F Gudinchet; M D Schaller; J P Revelly; R Chiolero; P Vock; S Wicky
Journal:  Radiographics       Date:  1999 Nov-Dec       Impact factor: 5.333

7.  Microwave methods of measuring changes in lung water.

Authors:  M F Iskander; C H Durney
Journal:  J Microw Power       Date:  1983-09

8.  Water in malignant tissue, measured by cell refractometry and nuclear magnetic resonance.

Authors:  K F Ross; R E Gordon
Journal:  J Microsc       Date:  1982-10       Impact factor: 1.758

9.  On-site Rapid Diagnosis of Intracranial Hematoma using Portable Multi-slice Microwave Imaging System.

Authors:  Ahmed Toaha Mobashsher; A M Abbosh
Journal:  Sci Rep       Date:  2016-11-29       Impact factor: 4.379

10.  On the Use of Focused Incident Near-Field Beams in Microwave Imaging.

Authors:  Nozhan Bayat; Puyan Mojabi
Journal:  Sensors (Basel)       Date:  2018-09-17       Impact factor: 3.576

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