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Three-dimensional reconstruction and quantification of cervical carcinoma invasion fronts from histological serial sections.
IEEE Trans Med Imaging 2005; 24(10):1286-307IT

Abstract

The analysis of the three-dimensional (3-D) structure of tumoral invasion fronts of carcinoma of the uterine cervix is the prerequisite for understanding their architectural-functional relationship. The variation range of the invasion patterns known so far reaches from a smooth tumor-host boundary surface to more diffusely spreading patterns, which all are supposed to have a different prognostic relevance. As a very decisive limitation of previous studies, all morphological assessments just could be done verbally referring to single histological sections. Therefore, the intention of this paper is to get an objective quantification of tumor invasion based on 3-D reconstructed tumoral tissue data. The image processing chain introduced here is capable to reconstruct selected parts of tumor invasion fronts from histological serial sections of remarkable extent (90-500 slices). While potentially gaining good accuracy and reasonably high resolution, microtome cutting of large serial sections especially may induce severe artifacts like distortions, folds, fissures or gaps. Starting from stacks of digitized transmitted light color images, an overall of three registration steps are the main parts of the presented algorithm. By this, we achieved the most detailed 3-D reconstruction of the invasion of solid tumors so far. Once reconstructed, the invasion front of the segmented tumor is quantified using discrete compactness.

Authors+Show Affiliations

Interdisciplinary Center for Bioinformatics, University Leipzig, Leipzig, Germany. braumann@izbi.uni-leipzig.deNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

16229416

Citation

Braumann, Ulf-Dietrich, et al. "Three-dimensional Reconstruction and Quantification of Cervical Carcinoma Invasion Fronts From Histological Serial Sections." IEEE Transactions On Medical Imaging, vol. 24, no. 10, 2005, pp. 1286-307.
Braumann UD, Kuska JP, Einenkel J, et al. Three-dimensional reconstruction and quantification of cervical carcinoma invasion fronts from histological serial sections. IEEE Trans Med Imaging. 2005;24(10):1286-307.
Braumann, U. D., Kuska, J. P., Einenkel, J., Horn, L. C., Löffler, M., & Höckel, M. (2005). Three-dimensional reconstruction and quantification of cervical carcinoma invasion fronts from histological serial sections. IEEE Transactions On Medical Imaging, 24(10), pp. 1286-307.
Braumann UD, et al. Three-dimensional Reconstruction and Quantification of Cervical Carcinoma Invasion Fronts From Histological Serial Sections. IEEE Trans Med Imaging. 2005;24(10):1286-307. PubMed PMID: 16229416.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Three-dimensional reconstruction and quantification of cervical carcinoma invasion fronts from histological serial sections. AU - Braumann,Ulf-Dietrich, AU - Kuska,Jens-Peer, AU - Einenkel,Jens, AU - Horn,Lars-Christian, AU - Löffler,Markus, AU - Höckel,Michael, PY - 2005/10/19/pubmed PY - 2005/12/21/medline PY - 2005/10/19/entrez SP - 1286 EP - 307 JF - IEEE transactions on medical imaging JO - IEEE Trans Med Imaging VL - 24 IS - 10 N2 - The analysis of the three-dimensional (3-D) structure of tumoral invasion fronts of carcinoma of the uterine cervix is the prerequisite for understanding their architectural-functional relationship. The variation range of the invasion patterns known so far reaches from a smooth tumor-host boundary surface to more diffusely spreading patterns, which all are supposed to have a different prognostic relevance. As a very decisive limitation of previous studies, all morphological assessments just could be done verbally referring to single histological sections. Therefore, the intention of this paper is to get an objective quantification of tumor invasion based on 3-D reconstructed tumoral tissue data. The image processing chain introduced here is capable to reconstruct selected parts of tumor invasion fronts from histological serial sections of remarkable extent (90-500 slices). While potentially gaining good accuracy and reasonably high resolution, microtome cutting of large serial sections especially may induce severe artifacts like distortions, folds, fissures or gaps. Starting from stacks of digitized transmitted light color images, an overall of three registration steps are the main parts of the presented algorithm. By this, we achieved the most detailed 3-D reconstruction of the invasion of solid tumors so far. Once reconstructed, the invasion front of the segmented tumor is quantified using discrete compactness. SN - 0278-0062 UR - https://www.unboundmedicine.com/medline/citation/16229416/Three_dimensional_reconstruction_and_quantification_of_cervical_carcinoma_invasion_fronts_from_histological_serial_sections_ L2 - https://dx.doi.org/10.1109/42.929614 DB - PRIME DP - Unbound Medicine ER -