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Sensitivity volume as figure-of-merit for maximizing data importance in electrical impedance tomography.
Onsager, Claire C; Wang, Chulin; Costakis, Charles; Aygen, Can C; Lang, Lauren; van der Lee, Suzan; Grayson, Matthew A.
Afiliação
  • Onsager CC; Department of Electrical and Computer Engineering, Northwestern University, Evanston, IL, United States of America.
  • Wang C; Department of Electrical and Computer Engineering, Northwestern University, Evanston, IL, United States of America.
  • Costakis C; Department of Electrical and Computer Engineering, Northwestern University, Evanston, IL, United States of America.
  • Aygen CC; Department of Electrical and Computer Engineering, Northwestern University, Evanston, IL, United States of America.
  • Lang L; Department of Electrical and Computer Engineering, Northwestern University, Evanston, IL, United States of America.
  • van der Lee S; Department of Earth and Planetary Sciences, Northwestern University, Evanston IL, United States of America.
  • Grayson MA; Department of Electrical and Computer Engineering, Northwestern University, Evanston, IL, United States of America.
Physiol Meas ; 45(4)2024 Apr 16.
Article em En | MEDLINE | ID: mdl-38624240
ABSTRACT
Objective.Electrical impedance tomography (EIT) is a noninvasive imaging method whereby electrical measurements on the periphery of a heterogeneous conductor are inverted to map its internal conductivity. The EIT method proposed here aims to improve computational speed and noise tolerance by introducing sensitivity volume as a figure-of-merit for comparing EIT measurement protocols.Approach.Each measurement is shown to correspond to a sensitivity vector in model space, such that the set of measurements, in turn, corresponds to a set of vectors that subtend a sensitivity volume in model space. A maximal sensitivity volume identifies the measurement protocol with the greatest sensitivity and greatest mutual orthogonality. A distinguishability criterion is generalized to quantify the increased noise tolerance of high sensitivity measurements.Main result.The sensitivity volume method allows the model space dimension to be minimized to match that of the data space, and the data importance to be increased within an expanded space of measurements defined by an increased number of contacts.Significance.The reduction in model space dimension is shown to increasecomputational efficiency, accelerating tomographic inversion by several orders of magnitude, while the enhanced sensitivitytolerates higher noiselevels up to several orders of magnitude larger than standard methods.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Tomografia Computadorizada por Raios X Idioma: En Revista: Physiol Meas Assunto da revista: BIOFISICA / ENGENHARIA BIOMEDICA / FISIOLOGIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Tomografia Computadorizada por Raios X Idioma: En Revista: Physiol Meas Assunto da revista: BIOFISICA / ENGENHARIA BIOMEDICA / FISIOLOGIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos