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Non-invasive determination of absolu...

Zhang, Jie.

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Non-invasive determination of absolute lung resistivity using electrical impedance tomography.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Non-invasive determination of absolute lung resistivity using electrical impedance tomography./
作者:	Zhang, Jie.
面頁冊數:	218 p.
附註:	Source: Dissertation Abstracts International, Volume: 65-08, Section: B, page: 3911.
Contained By:	Dissertation Abstracts International65-08B.
標題:	Biophysics, Medical. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3142661
ISBN:	0496006002

Non-invasive determination of absolute lung resistivity using electrical impedance tomography.
Zhang, Jie.

Non-invasive determination of absolute lung resistivity using electrical impedance tomography. - 218 p.

Source: Dissertation Abstracts International, Volume: 65-08, Section: B, page: 3911.

Thesis (Ph.D.)--University of Minnesota, 2004.

Lung resistivity is a physiological parameter showing the electrical characteristics of the lungs. It can be used to monitor different diseases that may change lung composition, and therefore lung resistivity. However, currently there is no accepted non-invasive method to measure lung resistivity.

ISBN: 0496006002Subjects--Topical Terms:

1017681
Biophysics, Medical.

Non-invasive determination of absolute lung resistivity using electrical impedance tomography.
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245 1 0 $a Non-invasive determination of absolute lung resistivity using electrical impedance tomography.
300 $a 218 p.
500 $a Source: Dissertation Abstracts International, Volume: 65-08, Section: B, page: 3911.
500 $a Adviser: Robert Patrick Patterson.
502 $a Thesis (Ph.D.)--University of Minnesota, 2004.
520 $a Lung resistivity is a physiological parameter showing the electrical characteristics of the lungs. It can be used to monitor different diseases that may change lung composition, and therefore lung resistivity. However, currently there is no accepted non-invasive method to measure lung resistivity.
520 $a This dissertation discusses a non-invasive approach to determine lung resistivity using Electrical Impedance Tomography (EIT). By comparing actual measurements from a subject with data from a 3D human thorax model, an EIT image can be reconstructed to show the resistivity difference between the model and the subject. By adjusting the lung resistivity in the model, the resistivity difference in the lung regions can be minimized. This resistivity value then is the estimation of the lung resistivity of the subject.
520 $a The human study results with four subjects showed that the coefficients of variation of precision and reproducibility were less than 10%.
520 $a Possible errors in the proposed method on the estimated lung resistivity were investigated, including the influence of resistivity variations of other tissues/organs, electrode position mismatch, chest expansion or inter-subject chest size difference, and tissue/organ movement during respiration.
520 $a The study showed that the derived lung resistivity was not sensitive to most tissue/organ resistivity variations. However, the changes in liver resistivity had a significant effect on the estimated lung resistivity.
520 $a Although both the simulation study and the experimental study indicated electrode location mismatch might cause significant error in reconstructing EIT dynamic image, it was found that the error could be reduced by placing electrodes as uniformly as possible on subject and by choosing both lungs as region of interest.
520 $a Chest expansion or inter-subject chest difference resulted in some resistivity change in the lung region but introduced large artifacts in the center of the EIT image. This error can be reduced by modifying the 3D model to adjust for the thorax size difference.
520 $a Tissue/organ movement during respiration also introduced artifacts to the EIT image and caused a resistivity increase in the lung region, which influence the estimated lung resistivity during respiration study.
520 $a To summarize, it is feasible to determine absolute lung resistivity using the proposed method.
590 $a School code: 0130.
650 4 $a Biophysics, Medical. $3 1017681
650 4 $a Engineering, Biomedical. $3 1017684
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790 1 0 $a Patterson, Robert Patrick, $e advisor
790 $a 0130
791 $a Ph.D.
792 $a 2004
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3142661