Registration of prostate histology images to ex vivo MR images via strand-shaped fiducials

被引:55
作者
Gibson, Eli [1 ]
Crukley, Cathie [1 ,2 ]
Gaed, Mena [1 ,2 ]
Gomez, Jose A. [3 ]
Moussa, Madeleine [3 ]
Chin, Joseph L. [4 ]
Bauman, Glenn S. [2 ,5 ]
Fenster, Aaron [1 ,2 ,5 ,6 ]
Ward, Aaron D. [2 ,6 ,7 ]
机构
[1] Robarts Res Inst, London, ON N6A 5C1, Canada
[2] Lawson Hlth Res Inst, London, ON, Canada
[3] Univ Western Ontario, Dept Pathol, London, ON, Canada
[4] Univ Western Ontario, Dept Urol, London, ON, Canada
[5] Univ Western Ontario, Dept Oncol, London, ON, Canada
[6] Univ Western Ontario, Dept Med Biophys, London, ON, Canada
[7] London Reg Canc Ctr, Baines Imaging Res Lab, London, ON N6A 4L6, Canada
基金
加拿大健康研究院;
关键词
digital histopathology; registration; ex vivo MRI; prostate cancer; validation; correlative pathology; APPARENT DIFFUSION-COEFFICIENT; 3-DIMENSIONAL REGISTRATION; CANCER; TISSUE; AGGRESSIVENESS; METHODOLOGY; SPECIMENS; SECTIONS; UTILITY; BENIGN;
D O I
10.1002/jmri.23767
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
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 (35 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 (37 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; 36:14021412. (C) 2012 Wiley Periodicals, Inc.
引用
收藏
页码:1402 / 1412
页数:11
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