Int J Comput Assist Radiol Surg - 4D-CT Lung registration using anatomy-based multi-level multi-resolution optical flow analysis and thin-plate splines.

Tópicos

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{ imag(2830) propos(1344) filter(1198) }
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Resumo

RPOSE: The accuracy of 4D-CT registration is limited by inconsistent Hounsfield unit (HU) values in the 4D-CT data from one respiratory phase to another and lower image contrast for lung substructures. This paper presents an optical flow and thin-plate spline (TPS)-based 4D-CT registration method to account for these limitations.METHODS: The use of unified HU values on multiple anatomy levels (e.g., the lung contour, blood vessels, and parenchyma) accounts for registration errors by inconsistent landmark HU value. While 3D multi-resolution optical flow analysis registers each anatomical level, TPS is employed for propagating the results from one anatomical level to another ultimately leading to the 4D-CT registration. 4D-CT registration was validated using target registration error (TRE), inverse consistency error (ICE) metrics, and a statistical image comparison using Gamma criteria of 1 % intensity difference in 2 mm(3) window range.RESULTS: Validation results showed that the proposed method was able to register CT lung datasets with TRE and ICE values <3 mm. In addition, the average number of voxel that failed the Gamma criteria was <3 %, which supports the clinical applicability of the propose registration mechanism.CONCLUSION: The proposed 4D-CT registration computes the volumetric lung deformations within clinically viable accuracy.

Resumo Limpo

rpose accuraci dct registr limit inconsist hounsfield unit hu valu dct data one respiratori phase anoth lower imag contrast lung substructur paper present optic flow thinplat spline tpsbase dct registr method account limitationsmethod use unifi hu valu multipl anatomi level eg lung contour blood vessel parenchyma account registr error inconsist landmark hu valu d multiresolut optic flow analysi regist anatom level tps employ propag result one anatom level anoth ultim lead dct registr dct registr valid use target registr error tre invers consist error ice metric statist imag comparison use gamma criteria intens differ mm window rangeresult valid result show propos method abl regist ct lung dataset tre ice valu mm addit averag number voxel fail gamma criteria support clinic applic propos registr mechanismconclus propos dct registr comput volumetr lung deform within clinic viabl accuraci

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