Literature DB >> 16331591

MR histological correlation: a method for cutting specimens along the imaging plane in animal or ex vivo experiments.

Olivier Rouvière1, Carol Reynolds, Thomas Hulshizer, Phillip Rossman, Yuan Le, Joel P Felmlee, Richard L Ehman.   

Abstract

PURPOSE: To assess a method aimed at cutting histological specimens along the magnetic resonance (MR) imaging plane.
MATERIAL AND METHODS: The method is performed in two steps: the imaging plane (defined by three acrylic paint markers) is made horizontal under MR guidance by using a mobile platform that can be rotated in three directions (PlaneFinder device [PFD]); then, the specimen is embedded in wax and cut horizontally. Three-dimensional images parallel to the markers' plane were obtained on 31 pork muscles containing a central hole with a pyramidal shape, with a technique of reference (RT images) and with PFD (PF images), before and after fixation. The last 17 fixed specimens were cut in the markers' plane (tissue section [TS] images). The central hole area (CHA) in the markers' plane was used to compare RT, PF, and TS images. Using a workstation, PF images were rotated and translated to estimate the shift along each direction that could explain the entire CHA difference between RT, PF, and TS images (maximum error, worst-case scenario).
RESULTS: Excellent correlation was found between RT and PF images (r = 0.989, slope = 1.0175), PF and TS images (r = 0.991, slope = 1.0058), and RT images on fresh specimens and TS images (r = 0.979, slope = 1.0732). For each step, the maximum angle error was < or = 3 degrees in 88-95% of the specimens.
CONCLUSION: Our methodology can be used to cut specimens along the imaging plane with high accuracy.

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Year:  2006        PMID: 16331591     DOI: 10.1002/jmri.20468

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  3 in total

Review 1.  Optimum slicing of radical prostatectomy specimens for correlation between histopathology and medical images.

Authors:  Li Hong Chen; Henry Ho; Richie Lazaro; Choon Hua Thng; John Yuen; Wan Sing Ng; Chris Cheng
Journal:  Int J Comput Assist Radiol Surg       Date:  2010-02-24       Impact factor: 2.924

2.  Dynamic Contrast Enhanced Magnetic Resonance Imaging in Oncology: Theory, Data Acquisition, Analysis, and Examples.

Authors:  Thomas E Yankeelov; John C Gore
Journal:  Curr Med Imaging Rev       Date:  2009-05-01

3.  Simultaneous myocardial strain and dark-blood perfusion imaging using a displacement-encoded MRI pulse sequence.

Authors:  Yuan Le; Ashley Stein; Colin Berry; Peter Kellman; Eric E Bennett; Joni Taylor; Katherine Lucas; Rael Kopace; Christophe Chefd'Hotel; Christine H Lorenz; Pierre Croisille; Han Wen
Journal:  Magn Reson Med       Date:  2010-09       Impact factor: 4.668

  3 in total

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