2012
DOI: 10.1371/journal.pone.0044011
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Automated Reconstruction Algorithm for Identification of 3D Architectures of Cribriform Ductal Carcinoma In Situ

Abstract: Ductal carcinoma in situ (DCIS) is a pre-invasive carcinoma of the breast that exhibits several distinct morphologies but the link between morphology and patient outcome is not clear. We hypothesize that different mechanisms of growth may still result in similar 2D morphologies, which may look different in 3D. To elucidate the connection between growth and 3D morphology, we reconstruct the 3D architecture of cribriform DCIS from resected patient material. We produce a fully automated algorithm that aligns, seg… Show more

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Cited by 15 publications
(20 citation statements)
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“…Three‐dimensional microscopic tissue reconstruction has mostly been carried out by serial sectioning, staining and imaging of up to hundreds of 2D sections . Although developments in image stacking have improved 3D reconstruction, serial slicing is laborious and sensitive to tissue deformations . Confocal laser scanning microscopy (CLSM) allows fluorescent 3D imaging without the need for sectioning, but is limited to depths of tens of micrometres, owing to scattering and absorption of emitted fluorescent light.…”
Section: Introductionmentioning
confidence: 99%
“…Three‐dimensional microscopic tissue reconstruction has mostly been carried out by serial sectioning, staining and imaging of up to hundreds of 2D sections . Although developments in image stacking have improved 3D reconstruction, serial slicing is laborious and sensitive to tissue deformations . Confocal laser scanning microscopy (CLSM) allows fluorescent 3D imaging without the need for sectioning, but is limited to depths of tens of micrometres, owing to scattering and absorption of emitted fluorescent light.…”
Section: Introductionmentioning
confidence: 99%
“…During this study, it was noted that fine detail included in the segmentation may be unnecessary, thus reducing the resolution the time taken doing this task can be reduced. The accuracy of segmentation was discussed by Norton, who stated that 90% accuracy was not necessary to determine the 3D structure. Norton developed an algorithm that enabled successful automatic segmentation of cribra of DCIS, analogous to the lumina segmented in our study.…”
Section: Discussionmentioning
confidence: 99%
“…Today the tools available to study 3D histology have improved substantially such that high resolution archivable digital images may permit more elaborate studies. It is now possible to generate image stacks of serially sectioned tissue and most recently, computer‐generated 3D reconstructed graphical models of breast carcinoma . Such reconstructions have demonstrated differences between tumours that appear histologically similar in 2D .…”
Section: Introductionmentioning
confidence: 99%
“…Whole-slide imaging (WSI) technology, which enabled us to capture the high-resolution images of stained tissue sections, has not only encouraged the development of various automated histopathology image analysis systems for diagnostic supports [4,5,6,7,8,9,10,11,12], the technology has also spurred interest in 3D histology image reconstruction of tissue organs [13,14,15,16,17]. Reconstruction of the 3D volumetric image of a tissue organ from series of histology images is an emerging application area in digital pathology.…”
Section: Introductionmentioning
confidence: 99%
“…Initial works on high-resolution 3D histology image reconstruction considered a single formalin-fixed paraffin-embedded (FFPE) tissue block [13,14,15,16,17]. Series of thin tissue sections were cut from the FFPE tissue blocks, mounted on standard-size glass slides and then stained.…”
Section: Introductionmentioning
confidence: 99%