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J Magn Reson Imaging. 2014 May;39(5):1223-9. doi: 10.1002/jmri.24287. Epub 2013 Oct 17.

Semiautomatic registration of digital histopathology images to in vivo MR images in molded and unmolded prostates.

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1
Departments of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA.

Abstract

PURPOSE:

To evaluate a semiautomatic software-based method of registering in vivo prostate MR images to digital histopathology images using two approaches: (i) in which the prostates were molded to simulate distortion due to the endorectal imaging coil before fixation, and (ii) in which the prostates were not molded.

MATERIALS AND METHODS:

T2-weighted MR images and digitized whole-mount histopathology images were acquired for 26 patients with biopsy-confirmed prostate cancer who underwent radical prostatectomy. Ten excised prostates were molded before fixation. A semiautomatic method was used to align MR images to histopathology. Percent overlap between MR and histopathology images, as well as distances between corresponding anatomical landmarks were calculated and used to evaluate the registration technique for molded and unmolded cases.

RESULTS:

The software successfully morphed histology-based prostate images into corresponding MR images. Percent overlap improved from 80.4 ± 5.8% before morphing to 99.7 ± 0.62% post morphing. Molded prostates had a smaller distance between landmarks (1.91 ± 0.75 mm) versus unmolded (2.34 ± 0.68 mm), P < 0.08.

CONCLUSION:

Molding a prostate before fixation provided a better alignment of internal structures within the prostate, but this did not reach statistical significance. Software-based morphing allowed for nearly complete overlap between the pathology slides and the MR images.

KEYWORDS:

MRI; histopathology; prostate cancer; registration

PMID:
24136783
PMCID:
PMC3984354
DOI:
10.1002/jmri.24287
[Indexed for MEDLINE]
Free PMC Article
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