Literature DB >> 30530320

Toward Electrical Impedance Tomography Coupled Ultrasound Imaging for Assessing Muscle Health.

Ethan K Murphy, Joseph Skinner, Maria Martucci, Seward B Rutkove, Ryan J Halter.   

Abstract

This paper establishes for the first time that a coupled ultrasound (US) and electrical impedance tomography (EIT) system can serve as a non-invasive, spatially localized approach to extract clinically relevant muscle properties. The US/EIT system represents a potential enhancement to electrical impedance myography (EIM), which has shown promise as a non-invasive technology that may have important clinical use in indicating neuromuscular disease status and as a diagnostic tool. A 2.5D EIT algorithm evaluated on simulation, measured phantoms, and measured patient data was studied to evaluate US/EIT's ability to distinguish different aspects of muscle tissue. Simulated and phantom experiments revealed the depths of distinguishability of 3.2 and 4.2 mm in simulation for 10% and 20% changes in muscle properties, respectively, and 3.6 mm in measured phantom experiments assuming a 12% muscle conductivity change. Reconstructions from the patient data established that there were consistent differences 1) between longitudinal (along) and transverse (across) muscle conductivity reconstructions at frequencies of 40 and 80 kHz and 2) side-by-side comparison between healthy and diseased tissue in terms of conductivity, permittivity, and phase at 40 and 80 kHz. Comparisons were made between the EIT reconstructed values and electrical impedance spectroscopy (EIS) measurements (an available surrogate in place of standard EIM measurements) made with the US/EIT system, wherein 1) EIS and EIT show similar sensitivity to longitudinal and transverse differences and 2) EIT showed a more consistent ability to differentiate healthy and diseased tissue. These results suggest that US/EIT appears very promising for non-invasive and spatially localized diagnosis of muscle health.

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Year:  2018        PMID: 30530320      PMCID: PMC6668036          DOI: 10.1109/TMI.2018.2886152

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  23 in total

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Authors:  Pushpa Narayanaswami; Andrew J Spieker; Phillip Mongiovi; John C Keel; Stefan C Muzin; Seward B Rutkove
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Authors:  Seward B Rutkove; Patricia M Fogerson; Lindsay P Garmirian; Andrew W Tarulli
Journal:  Muscle Nerve       Date:  2008-09       Impact factor: 3.217

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