Semi-automatic deformable registration of prostate MR images to pathological slices Journal Article


Authors: Mazaheri, Y.; Bokacheva, L.; Kroon, D. J.; Akin, O.; Hricak, H.; Chamudot, D.; Fine, S.; Koutcher, J. A.
Article Title: Semi-automatic deformable registration of prostate MR images to pathological slices
Abstract: Purpose To present a semi-automatic deformable registration algorithm for co-registering T2-weighted (T2w) images of the prostate with whole-mount pathological sections of prostatectomy specimens. Materials and Methods Twenty-four patients underwent 1.5 Tesla (T) endorectal MR imaging before radical prostatectomy with whole-mount step-section pathologic analysis of surgical specimens. For each patient, the T2w imaging containing the largest area of tumor was manually matched with the corresponding pathologic slice. The prostate was co-registered using a free-form deformation (FFD) algorithm based on B-splines. Registration quality was assessed through differences between prostate diameters measured in right-left (RL) and anteroposterior (AP) directions on T2w images and pathologic slices and calculation of the Dice similarity coefficient, D, for the whole prostate (WP), the peripheral zone (PZ) and the transition zone (TZ). Results The mean differences in diameters measured on pathology and MR imaging in the RL direction and the AP direction were 0.49 cm and -0.63 cm, respectively, before registration and 0.10 cm and -0.11 cm, respectively, after registration. The mean D values for the WP, PZ and TZ, were 0.76, 0.65, and 0.77, respectively, before registration and increased to 0.91, 0.76, and 0.85, respectively, after registration. The improvements in D were significant for all three tissues (P < 0.001 for all). Conclusion The proposed semi-automatic method enabled successful co-registration of anatomical prostate MR images to pathologic slices. © 2010 Wiley-Liss, Inc.
Keywords: human tissue; nuclear magnetic resonance imaging; magnetic resonance imaging; image analysis; retrospective study; algorithms; biopsy; prostate cancer; prostate; algorithm; prostatectomy; image processing, computer-assisted; qualitative analysis; deformable registration; dice similarity coefficient; index tumor; prostate mr imaging; step-section pathologic slides; radical retropubic prostatectomy
Journal Title: Journal of Magnetic Resonance Imaging
Volume: 32
Issue: 5
ISSN: 1053-1807
Publisher: Wiley Blackwell  
Date Published: 2010-11-01
Start Page: 1149
End Page: 1157
Language: English
DOI: 10.1002/jmri.22347
PUBMED: 21031521
PROVIDER: scopus
PMCID: PMC2975408
DOI/URL:
Notes: --- - "Export Date: 20 April 2011" - "CODEN: JMRIF" - "Source: Scopus"
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MSK Authors
  1. Hedvig Hricak
    333 Hricak
  2. Jason A Koutcher
    236 Koutcher
  3. Samson W Fine
    316 Fine
  4. Oguz Akin
    179 Akin