Literature DB >> 25145969

Reconstruction of 3-dimensional histology volume and its application to study mouse mammary glands.

Rushin Shojaii1, Stephanie Bacopulos2, Wenyi Yang2, Tigran Karavardanyan3, Demetri Spyropoulos4, Afshin Raouf5, Anne Martel6, Arun Seth2.   

Abstract

Histology volume reconstruction facilitates the study of 3D shape and volume change of an organ at the level of macrostructures made up of cells. It can also be used to investigate and validate novel techniques and algorithms in volumetric medical imaging and therapies. Creating 3D high-resolution atlases of different organs(1,2,3) is another application of histology volume reconstruction. This provides a resource for investigating tissue structures and the spatial relationship between various cellular features. We present an image registration approach for histology volume reconstruction, which uses a set of optical blockface images. The reconstructed histology volume represents a reliable shape of the processed specimen with no propagated post-processing registration error. The Hematoxylin and Eosin (H&E) stained sections of two mouse mammary glands were registered to their corresponding blockface images using boundary points extracted from the edges of the specimen in histology and blockface images. The accuracy of the registration was visually evaluated. The alignment of the macrostructures of the mammary glands was also visually assessed at high resolution. This study delineates the different steps of this image registration pipeline, ranging from excision of the mammary gland through to 3D histology volume reconstruction. While 2D histology images reveal the structural differences between pairs of sections, 3D histology volume provides the ability to visualize the differences in shape and volume of the mammary glands.

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Year:  2014        PMID: 25145969      PMCID: PMC4415371          DOI: 10.3791/51325

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  18 in total

1.  Three-dimensional registration of magnetic resonance image data to histological sections with model-based evaluation.

Authors:  Michael S Breen; Roee S Lazebnik; David L Wilson
Journal:  Ann Biomed Eng       Date:  2005-08       Impact factor: 3.934

2.  Multiresolution Gauss-Markov random field models for texture segmentation.

Authors:  S Krishnamachari; R Chellappa
Journal:  IEEE Trans Image Process       Date:  1997       Impact factor: 10.856

3.  Insulin like growth factor binding protein-7 reduces growth of human breast cancer cells and xenografted tumors.

Authors:  Y Amemiya; W Yang; T Benatar; S Nofech-Mozes; A Yee; H Kahn; C Holloway; Arun Seth
Journal:  Breast Cancer Res Treat       Date:  2010-05-13       Impact factor: 4.872

4.  Laser scanning-based tissue autofluorescence/fluorescence imaging (LS-TAFI), a new technique for analysis of microanatomy in whole-mount tissues.

Authors:  Hidetoshi Mori; Alexander D Borowsky; Ramray Bhat; Cyrus M Ghajar; Motoharu Seiki; Mina J Bissell
Journal:  Am J Pathol       Date:  2012-04-27       Impact factor: 4.307

5.  IGFBP7 reduces breast tumor growth by induction of senescence and apoptosis pathways.

Authors:  Tania Benatar; Wenyi Yang; Yutaka Amemiya; Valentina Evdokimova; Harriette Kahn; Claire Holloway; Arun Seth
Journal:  Breast Cancer Res Treat       Date:  2011-10-14       Impact factor: 4.872

6.  IGFBP7 binds to the IGF-1 receptor and blocks its activation by insulin-like growth factors.

Authors:  Valentina Evdokimova; Cristina E Tognon; Tania Benatar; Wenyi Yang; Konstantin Krutikov; Michael Pollak; Poul H B Sorensen; Arun Seth
Journal:  Sci Signal       Date:  2012-12-18       Impact factor: 8.192

7.  Volume registration using needle paths and point landmarks for evaluation of interventional MRI treatments.

Authors:  Roee S Lazebnik; Tanya L Lancaster; Michael S Breen; Jonathan S Lewin; David L Wilson
Journal:  IEEE Trans Med Imaging       Date:  2003-05       Impact factor: 10.048

8.  A high-resolution RNA expression atlas of retinitis pigmentosa genes in human and mouse retinas.

Authors:  Dragana Trifunovic; Marianthi Karali; Davide Camposampiero; Diego Ponzin; Sandro Banfi; Valeria Marigo
Journal:  Invest Ophthalmol Vis Sci       Date:  2008-02-15       Impact factor: 4.799

9.  Registering histologic and MR images of prostate for image-based cancer detection.

Authors:  Yiqiang Zhan; Yangming Ou; Michael Feldman; John Tomaszeweski; Christos Davatzikos; Dinggang Shen
Journal:  Acad Radiol       Date:  2007-11       Impact factor: 3.173

10.  Allen Brain Atlas: an integrated spatio-temporal portal for exploring the central nervous system.

Authors:  Susan M Sunkin; Lydia Ng; Chris Lau; Tim Dolbeare; Terri L Gilbert; Carol L Thompson; Michael Hawrylycz; Chinh Dang
Journal:  Nucleic Acids Res       Date:  2012-11-28       Impact factor: 16.971

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  4 in total

1.  Optimized SIFTFlow for registration of whole-mount histology to reference optical images.

Authors:  Rushin Shojaii; Anne L Martel
Journal:  J Med Imaging (Bellingham)       Date:  2016-10-19

2.  Robust joint registration of multiple stains and MRI for multimodal 3D histology reconstruction: Application to the Allen human brain atlas.

Authors:  Adrià Casamitjana; Marco Lorenzi; Sebastiano Ferraris; Loïc Peter; Marc Modat; Allison Stevens; Bruce Fischl; Tom Vercauteren; Juan Eugenio Iglesias
Journal:  Med Image Anal       Date:  2021-10-16       Impact factor: 8.545

3.  3D volume reconstruction from serial breast specimen radiographs for mapping between histology and 3D whole specimen imaging.

Authors:  Thomy Mertzanidou; John H Hipwell; Sara Reis; David J Hawkes; Babak Ehteshami Bejnordi; Mehmet Dalmis; Suzan Vreemann; Bram Platel; Jeroen van der Laak; Nico Karssemeijer; Meyke Hermsen; Peter Bult; Ritse Mann
Journal:  Med Phys       Date:  2017-03       Impact factor: 4.071

4.  A multimodal computational pipeline for 3D histology of the human brain.

Authors:  Matteo Mancini; Adrià Casamitjana; Loic Peter; Eleanor Robinson; Shauna Crampsie; David L Thomas; Janice L Holton; Zane Jaunmuktane; Juan Eugenio Iglesias
Journal:  Sci Rep       Date:  2020-08-14       Impact factor: 4.379

  4 in total

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