Literature DB >> 19617928

3D Cryo-Section/Imaging of Blood Vessel Lesions for Validation of MRI Data.

Olivier Salvado1, Debashish Roy, Meredith Heinzel, Eliot McKinley, David Wilson.   

Abstract

Vascular disease is a leading cause of death and disability in the western world. Diagnosis and staging of atherosclerosis is a challenge, especially with regards to the identification of plaque vulnerability. We are developing imaging methods based upon MRI and intravascular microcoils. In order to rigorously validate our MRI imaging methods and algorithms, we have developed a new cryo-imaging system that allows one to alternately section and image the block face of tissue. We obtain 3D pathology of vessel segments excised from cadaver and we characterize the tissues of atheroma using episcopic autofluorescence and bright field microscopy images. After embedding the vessel, the block is frozen, and block face microscopic images are taken every 200µm with an image resolution of 30µm×30µm. The series of images is then corrected for uneven illumination, serially registered to one another, and the 3D vessel segment is reconstructed. Some sections are recovered and processed with histological staining for validation. Seven tissue types can be readily identified from the cryo-images: necrotic core, calcification, lipid pool, media, adventitia, fibrosis, thrombus, and normal intima. Since the whole vessel segment is available, we could register 3D data to images from MR, or other modalities, for validation. In addition, visualization tools such as multi-planar reformatting 3D rendering can be used to study 3D plaque morphology, in microscopic detail.

Entities:  

Year:  2006        PMID: 19617928      PMCID: PMC2711644          DOI: 10.1117/12.649093

Source DB:  PubMed          Journal:  Proc SPIE Int Soc Opt Eng        ISSN: 0277-786X


  21 in total

1.  Closed contour edge detection of blood vessel lumen and outer wall boundaries in black-blood MR images.

Authors:  C Yuan; E Lin; J Millard; J N Hwang
Journal:  Magn Reson Imaging       Date:  1999-02       Impact factor: 2.546

2.  A modified fuzzy C-means algorithm for bias field estimation and segmentation of MRI data.

Authors:  Mohamed N Ahmed; Sameh M Yamany; Nevin Mohamed; Aly A Farag; Thomas Moriarty
Journal:  IEEE Trans Med Imaging       Date:  2002-03       Impact factor: 10.048

3.  Deaths: final data for 2000.

Authors:  Arialdi M Miniño; Elizabeth Arias; Kenneth D Kochanek; Sherry L Murphy; Betty L Smith
Journal:  Natl Vital Stat Rep       Date:  2002-09-16

Review 4.  Overview of atherosclerosis.

Authors:  W B Kannel
Journal:  Clin Ther       Date:  1998       Impact factor: 3.393

5.  Identification of fibrous cap rupture with magnetic resonance imaging is highly associated with recent transient ischemic attack or stroke.

Authors:  Chun Yuan; Shao-xiong Zhang; Nayak L Polissar; Denise Echelard; Geraldo Ortiz; Joseph W Davis; Elizabeth Ellington; Marina S Ferguson; Thomas S Hatsukami
Journal:  Circulation       Date:  2002-01-15       Impact factor: 29.690

6.  Differentiation of intraplaque versus juxtaluminal hemorrhage/thrombus in advanced human carotid atherosclerotic lesions by in vivo magnetic resonance imaging.

Authors:  A Kampschulte; M S Ferguson; W S Kerwin; Nayak L Polissar; B Chu; T Saam; T S Hatsukami; C Yuan
Journal:  Circulation       Date:  2004-11-08       Impact factor: 29.690

7.  Characterization of atherosclerotic plaques at the carotid bifurcation: correlation of high-resolution MR imaging with histologic analysis--preliminary study.

Authors:  G von Ingersleben; U P Schmiedl; T S Hatsukami; J A Nelson; D S Subramaniam; M S Ferguson; C Yuan
Journal:  Radiographics       Date:  1997 Nov-Dec       Impact factor: 5.333

Review 8.  Characterization of atherosclerotic plaques by magnetic resonance imaging.

Authors:  Z A Fayad; V Fuster
Journal:  Ann N Y Acad Sci       Date:  2000-05       Impact factor: 5.691

9.  Classification of human carotid atherosclerotic lesions with in vivo multicontrast magnetic resonance imaging.

Authors:  Jian-Ming Cai; Thomas S Hatsukami; Marina S Ferguson; Randy Small; Nayak L Polissar; Chun Yuan
Journal:  Circulation       Date:  2002-09-10       Impact factor: 29.690

10.  Compensatory enlargement of human atherosclerotic coronary arteries.

Authors:  S Glagov; E Weisenberg; C K Zarins; R Stankunavicius; G J Kolettis
Journal:  N Engl J Med       Date:  1987-05-28       Impact factor: 91.245

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  8 in total

Review 1.  Plaque and thrombus evaluation by optical coherence tomography.

Authors:  Takashi Kubo; Chenyang Xu; Zhao Wang; Nienke S van Ditzhuijzen; Hiram G Bezerra
Journal:  Int J Cardiovasc Imaging       Date:  2011-02-19       Impact factor: 2.357

2.  Three-dimensional registration of intravascular optical coherence tomography and cryo-image volumes for microscopic-resolution validation.

Authors:  David Prabhu; Emile Mehanna; Madhusudhana Gargesha; Eric Brandt; Di Wen; Nienke S van Ditzhuijzen; Daniel Chamie; Hirosada Yamamoto; Yusuke Fujino; Ali Alian; Jaymin Patel; Marco Costa; Hiram G Bezerra; David L Wilson
Journal:  J Med Imaging (Bellingham)       Date:  2016-06-28

3.  Multi-scale characterization of the PEPCK-C mouse through 3D cryo-imaging.

Authors:  Debashish Roy; Madhusudhana Gargesha; Grant J Steyer; Parvin Hakimi; Richard W Hanson; David L Wilson
Journal:  Int J Biomed Imaging       Date:  2010-05-11

4.  Ex vivo characterization of human atherosclerotic iliac plaque components using cryo-imaging.

Authors:  M S Nguyen; O Salvado; D Roy; G Steyer; M E Stone; R D Hoffman; D L Wilson
Journal:  J Microsc       Date:  2008-12       Impact factor: 1.758

5.  Whole Mouse Cryo-Imaging.

Authors:  David Wilson; Debashish Roy; Grant Steyer; Madhusudhana Gargesha; Meredith Stone; Eliot McKinley
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2008-01-01

6.  Classification of calcium in intravascular OCT images for the purpose of intervention planning.

Authors:  Ronny Shalev; Hiram G Bezerra; Soumya Ray; David Prabhu; David L Wilson
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2016-03

7.  Imaging System for Creating 3D Block-Face Cryo-Images Of Whole Mice.

Authors:  Debashish Roy; Michael Breen; Olivier Salvado; Meredith Heinzel; Eliot McKinley; David Wilson
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2006-01-01

8.  3D cryo-imaging: a very high-resolution view of the whole mouse.

Authors:  Debashish Roy; Grant J Steyer; Madhusudhana Gargesha; Meredith E Stone; David L Wilson
Journal:  Anat Rec (Hoboken)       Date:  2009-03       Impact factor: 2.064

  8 in total

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