Toward Electrical Impedance Tomography Coupled Ultrasound Imaging for Assessing Muscle Health.
Journal
IEEE transactions on medical imaging
ISSN: 1558-254X
Titre abrégé: IEEE Trans Med Imaging
Pays: United States
ID NLM: 8310780
Informations de publication
Date de publication:
06 2019
06 2019
Historique:
pubmed:
12
12
2018
medline:
10
3
2020
entrez:
12
12
2018
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 30530320
doi: 10.1109/TMI.2018.2886152
pmc: PMC6668036
mid: NIHMS1531241
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, U.S. Gov't, Non-P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Pagination
1409-1419Subventions
Organisme : NINDS NIH HHS
ID : K24 NS060951
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA143020
Pays : United States
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