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Improving the Accuracy of Registration-Based Biomechanical Analysis : A Finite Element Approach to Lung Regional Strain Quantification

Hurtado, Daniel E. (författare)
Pontificia Univ Catolica Chile, Dept Struct & Geotech Engn, Santiago, Chile.;Pontificia Univ Catolica Chile, Biomed Engn Grp, Santiago, Chile.
Villarroel, Nicolas (författare)
Pontificia Univ Catolica Chile, Dept Struct & Geotech Engn, Santiago, Chile.;Pontificia Univ Catolica Chile, Biomed Engn Grp, Santiago, Chile.
Retamal, Jaime (författare)
Uppsala universitet,Anestesiologi och intensivvård,Pontificia Univ Catolica Chile, Fac Med, Dept Med Intens, Santiago, Chile.
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Bugedo, Guillermo (författare)
Pontificia Univ Catolica Chile, Fac Med, Dept Med Intens, Santiago, Chile.
Bruhn, Alejandro (författare)
Pontificia Univ Catolica Chile, Fac Med, Dept Med Intens, Santiago, Chile.
visa färre...
Pontificia Univ Catolica Chile, Dept Struct & Geotech Engn, Santiago, Chile;Pontificia Univ Catolica Chile, Biomed Engn Grp, Santiago, Chile. Anestesiologi och intensivvård (creator_code:org_t)
2016
2016
Engelska.
Ingår i: IEEE Transactions on Medical Imaging. - 0278-0062 .- 1558-254X. ; 35:2, s. 580-588
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
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  • Tissue deformation plays an important role in lung physiology, as lung parenchyma largely deforms during spontaneous ventilation. However, excessive regional deformation may lead to lung injury, as observed in patients undergoing mechanical ventilation. Thus, the accurate estimation of regional strain has recently received great attention in the intensive care community. In this work, we assess the accuracy of regional strain maps computed from direct differentiation of B-Spline (BS) interpolations, a popular technique employed in non-rigid registration of lung computed tomography (CT) images. We show that, while BS-based registration methods give excellent results for the deformation transformation, the strain field directly computed from BS derivatives results in predictions that largely oscillate, thus introducing important errors that can even revert the sign of strain. To alleviate such spurious behavior, we present a novel finite-element (FE) method for the regional strain analysis of lung CT images. The method follows from a variational strain recovery formulation, and delivers a continuous approximation to the strain field in arbitrary domains. From analytical benchmarks, we show that the FE method results in errors that are a fraction of those found for the BS method, both in an average and pointwise sense. The application of the proposed FE method to human lung CT images results in 3D strain maps are heterogeneous and smooth, showing high consistency with specific ventilation maps reported in the literature. We envision that the proposed FE method will considerably improve the accuracy of image-based biomechanical analysis, making it reliable enough for routine medical applications.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Radiologi och bildbehandling (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Radiology, Nuclear Medicine and Medical Imaging (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Lungmedicin och allergi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Respiratory Medicine and Allergy (hsv//eng)

Nyckelord

Finite element method
lung biomechanics
lung CT image analysis
regional lung strain

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