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  Large histological serial sections for computational tissue volume reconstruction

Braumann, U.-D., Scherf, N., Einenkel, J., Horn, L.-C., Wentzensen, N., Loeffler, M., et al. (2007). Large histological serial sections for computational tissue volume reconstruction. Methods of Information in Medicine, 46(5), 614-622. doi:10.1160/ME9065.

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Braumann, U.-D.1, Author
Scherf, Nico1, Author           
Einenkel, J.1, Author
Horn, L.-C.1, Author
Wentzensen, N.1, Author
Loeffler, M.1, Author
Kuska, J.-P.1, Author
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1External Organizations, ou_persistent22              

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Free keywords: Computer-aided image processing; Uterine cervical diseases
 Abstract: Objectives: A proof of principle study was conducted for microscopic tissue volume reconstructions using a new image processing chain operating on alternately stained large histological serial sections. Methods: Digital histological images were obtained from conventional brightfield transmitted light microscopy. A powerful nonparametric nonlinear optical flow-based registration approach was used. In order to apply a simple but computationally feasible sum-of-squared-differences similarity measure even in case of differing histological stainings, a new consistent tissue segmentation procedure was placed upstream. Results: Two reconstructions from uterine cervix carcinoma specimen were accomplished, one alternately stained with p16(INK4a) (surrogate tumor marker) and H&E (routine reference), and another with three different alternate stainings, H&E, p16(INK4a), and CD3 (a T-lymphocyte marker). For both cases, due to our segmentation-based reference-free nonlinear registration procedure, resulting tissue reconstructions exhibit utmost smooth image-to-image transitions without impairing warpings. Conclusions: Our combination of modern nonparametric nonlinear registration and consistent tissue segmentation has turned out to provide a superior tissue reconstruction quality.

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Language(s): eng - English
 Dates: 2007
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1160/ME9065
PMID: 17938788
 Degree: -

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Title: Methods of Information in Medicine
Source Genre: Journal
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Publ. Info: Stuttgart [etc.] : F.K. Schattauer [etc.]
Pages: - Volume / Issue: 46 (5) Sequence Number: - Start / End Page: 614 - 622 Identifier: ISSN: 0026-1270
CoNE: https://pure.mpg.de/cone/journals/resource/954925424164