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Improved correlation of histological data with DCE MRI parameter maps by 3D reconstruction, reslicing and parameterization of the histological images.

作者信息

Kiessling Fabian, Le-Huu Martin, Kunert Tobias, Thorn Matthias, Vosseler Silvia, Schmidt Kerstin, Hoffend Johannes, Meinzer Hans-Peter, Fusenig Norbert E, Semmler Wolfhard

机构信息

Department of Medical Physics in Radiology, German Cancer Research Center, Heidelberg.

出版信息

Eur Radiol. 2005 Jun;15(6):1079-86. doi: 10.1007/s00330-005-2701-5. Epub 2005 Mar 4.

DOI:10.1007/s00330-005-2701-5
PMID:15747142
Abstract

Due to poor correlation of slice thickness and orientation, verification of radiological methods with histology is difficult. Thus, a procedure for three-dimensional reconstruction, reslicing and parameterization of histological data was developed, enabling a proper correlation with radiological data. Two different subcutaneous tumors were examined by MR microangiography and DCE-MRI, the latter being post-processed using a pharmacokinetic two-compartment model. Subsequently, tumors were serially sectioned and vessels stained with immunofluorescence markers. A ray-tracing algorithm performed three-dimensional visualization of the histological data, allowing virtually reslicing to thicker sections analogous to MRI slice geometry. Thick slices were processed as parameter maps color coding the marker density in the depth of the slice. Histological 3D reconstructions displayed the diffuse angioarchitecture of malignant tumors. Resliced histological images enabled specification of high enhancing areas seen on MR microangiography as large single vessels or vessel assemblies. In orthogonally reconstructed histological slices, single vessels were delineated. ROI analysis showed significant correlation between histological parameter maps of vessel density and MR parameter maps (r=0.83, P=0.05). The 3D approach to histology improves correlation of histological and radiological data due to proper matching of slice geometry. This method can be used with any histological stain, thus enabling a multivariable correlation of non-invasive data and histology.

摘要

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