Literature DB >> 25376034

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

Rohit Chandra, Anders J Johansson, Mats Gustafsson, Fredrik Tufvesson.   

Abstract

In some biomedical applications such as wireless capsule endoscopy, the localization of an in-body radio-frequency (RF) source is important for the positioning of any abnormality inside the gastrointestinal tract. With knowledge of the location, therapeutic operations can be performed precisely at the position of the abnormality. Electrical properties (relative permittivity and conductivity) of the tissues and their distribution are utilized to estimate the position. This paper presents a method for the localization of an in-body RF source based on microwave imaging. The electrical properties of the tissues and their distribution at 403.5 MHz are found from microwave imaging and the position of an RF source is then estimated based on the image. The method is applied on synthetic noisy data, obtained after the addition of white Gaussian noise to simulated data of a simple circular phantom, and a realistic phantom in a 2-D case. The root-mean-square of the error distance between the actual and the estimated position is found to be within 10 and 4 mm for the circular and the realistic phantom, respectively, showing the capability of the proposed algorithm to work with a good accuracy even in the presence of noise for the localization of the in-body RF source.

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Year:  2014        PMID: 25376034     DOI: 10.1109/TBME.2014.2367117

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  3 in total

Review 1.  Capsule endoscopy of the future: What's on the horizon?

Authors:  Piotr R Slawinski; Keith L Obstein; Pietro Valdastri
Journal:  World J Gastroenterol       Date:  2015-10-07       Impact factor: 5.742

2.  Sensitivity Ellipsoids for Force Control of Magnetic Robots with Localization Uncertainty.

Authors:  Piotr R Slawinski; Nabil Simaan; Addisu Z Taddese; Keith L Obstein; Pietro Valdastri
Journal:  IEEE Trans Robot       Date:  2019-06-11       Impact factor: 5.567

Review 3.  Electromagnetic Torso Scanning: A Review of Devices, Algorithms, and Systems.

Authors:  Sasan Ahdi Rezaeieh; Amin Darvazehban; Azin S Janani; Amin M Abbosh
Journal:  Biosensors (Basel)       Date:  2021-04-27
  3 in total

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