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Registration of prostate histology images to ex vivo MR images via strand‐shaped fiducials
Author(s) -
Gibson Eli,
Crukley Cathie,
Gaed Mena,
Gómez José A.,
Moussa Madeleine,
Chin Joseph L.,
Bauman Glenn S.,
Fenster Aaron,
Ward Aaron D.
Publication year - 2012
Publication title -
journal of magnetic resonance imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.563
H-Index - 160
eISSN - 1522-2586
pISSN - 1053-1807
DOI - 10.1002/jmri.23767
Subject(s) - fiducial marker , histology , ex vivo , prostate , prostatectomy , magnetic resonance imaging , nuclear medicine , medicine , image registration , radiology , computer science , artificial intelligence , in vivo , pathology , biology , cancer , microbiology and biotechnology , image (mathematics)
Purpose: To present and evaluate a method for registration of whole‐mount prostate digital histology images to ex vivo magnetic resonance (MR) images. Materials and Methods: Nine radical prostatectomy specimens were marked with 10 strand‐shaped fiducial markers per specimen, imaged with T1‐ and T2‐weighted 3T MRI protocols, sliced at 4.4‐mm intervals, processed for whole‐mount histology, and the resulting histological sections (3–5 per specimen, 34 in total) were digitized. The correspondence between fiducial markers on histology and MR images yielded an initial registration, which was refined by a local optimization technique, yielding the least‐squares best‐fit affine transformation between corresponding fiducial points on histology and MR images. Accuracy was quantified as the postregistration 3D distance between landmarks (3–7 per section, 184 in total) on histology and MR images, and compared to a previous state‐of‐the‐art registration method. Results: The proposed method and previous method had mean (SD) target registration errors of 0.71 (0.38) mm and 1.21 (0.74) mm, respectively, requiring 3 and 11 hours of processing time, respectively. Conclusion: The proposed method registers digital histology to prostate MR images, yielding 70% reduced processing time and mean accuracy sufficient to achieve 85% overlap on histology and ex vivo MR images for a 0.2 cc spherical tumor. J. Magn. Reson. Imaging 2012; 36:1402–1412. © 2012 Wiley Periodicals, Inc.