DocumentCode :
1949515
Title :
3D architecture of Ductal Carcinoma in situ from image reconstructions
Author :
Norton, Kerri-Ann ; Namazi, S. ; Fujibayashi, M. ; Ganesan, S. ; Barnard, N. ; Bhanot, G. ; Shinbrot, T. ; Iyatomi, Hitoshi ; Ogawa, Koichi
Author_Institution :
Biomed. Eng., Johns Hopkins Univ., Baltimore, MD, USA
fYear :
2012
fDate :
17-19 Dec. 2012
Firstpage :
631
Lastpage :
635
Abstract :
Ductal Carcinoma in situ (DCIS) is a pre-invasive carcinoma of the breast that exhibits several distinct morphologies. The staging of the disease is often based on 2-dimensional (2D) slices from tissue samples stained with hematoxylin and eosin. Therefore, much of the 3-dimensional (3D) structure of the carcinoma is unknown. We develop a method for producing 3D reconstructions of DCIS specimens from serial sections. This includes an alignment, duct segmentation, cribra segmentation and 3D reconstruction method. Our results show that there are different 3D architectures of cribriform DCIS classified by 2D histological slices. We conclude that the 3D morphology of the disease is complex and may provide additional clinical information than the classical 2D approach.
Keywords :
biological organs; biological tissues; biomedical optical imaging; cancer; image reconstruction; image segmentation; medical image processing; 2D histological slices; 3D architecture; 3D disease morphology; 3D reconstruction method; DCIS specimens; alignment method; breast; carcinoma 3D structure; cribra segmentation method; cribriform DCIS; duct segmentation method; ductal carcinoma in situ; eosin; hematoxylin; image reconstructions; serial sections; tissue samples; Breast cancer; Image processing; Registration; Segmentation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Engineering and Sciences (IECBES), 2012 IEEE EMBS Conference on
Conference_Location :
Langkawi
Print_ISBN :
978-1-4673-1664-4
Type :
conf
DOI :
10.1109/IECBES.2012.6498047
Filename :
6498047
Link To Document :
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