Literature DB >> 21031521

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

Yousef Mazaheri1, Louisa Bokacheva, Dirk-Jan Kroon, Oguz Akin, Hedvig Hricak, Daniel Chamudot, Samson Fine, Jason A Koutcher.   

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.

Entities:  

Mesh:

Year:  2010        PMID: 21031521      PMCID: PMC2975408          DOI: 10.1002/jmri.22347

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


  26 in total

1.  Nonrigid registration using free-form deformations: application to breast MR images.

Authors:  D Rueckert; L I Sonoda; C Hayes; D L Hill; M O Leach; D J Hawkes
Journal:  IEEE Trans Med Imaging       Date:  1999-08       Impact factor: 10.048

2.  A methodology for registration of a histological slide and in vivo MRI volume based on optimizing mutual information.

Authors:  Charles R Meyer; Bradford A Moffat; Kyle K Kuszpit; Peyton L Bland; Paul E Mckeever; Timothy D Johnson; Thomas L Chenevert; Alnawaz Rehemtulla; Brian D Ross
Journal:  Mol Imaging       Date:  2006 Jan-Mar       Impact factor: 4.488

3.  Registration of MR prostate images with biomechanical modeling and nonlinear parameter estimation.

Authors:  Ron Alterovitz; Ken Goldberg; Jean Pouliot; I-Chow Joe Hsu; Yongbok Kim; Susan Moyher Noworolski; John Kurhanewicz
Journal:  Med Phys       Date:  2006-02       Impact factor: 4.071

4.  Fast parametric elastic image registration.

Authors:  Jan Kybic; Michael Unser
Journal:  IEEE Trans Image Process       Date:  2003       Impact factor: 10.856

5.  Detection of extracapsular extension of prostate carcinoma with endorectal and phased-array coil MR imaging: multivariate feature analysis.

Authors:  K K Yu; H Hricak; R Alagappan; D M Chernoff; P Bacchetti; C J Zaloudek
Journal:  Radiology       Date:  1997-03       Impact factor: 11.105

6.  Statistical methods for assessing agreement between two methods of clinical measurement.

Authors:  J M Bland; D G Altman
Journal:  Lancet       Date:  1986-02-08       Impact factor: 79.321

7.  Magnetic resonance diffusion characteristics of histologically defined prostate cancer in humans.

Authors:  Junqian Xu; Peter A Humphrey; Adam S Kibel; Abraham Z Snyder; Vamsidhar R Narra; Joseph J H Ackerman; Sheng-Kwei Song
Journal:  Magn Reson Med       Date:  2009-04       Impact factor: 4.668

8.  Carcinoma of the prostate gland: MR imaging with pelvic phased-array coils versus integrated endorectal--pelvic phased-array coils.

Authors:  H Hricak; S White; D Vigneron; J Kurhanewicz; A Kosco; D Levin; J Weiss; P Narayan; P R Carroll
Journal:  Radiology       Date:  1994-12       Impact factor: 11.105

9.  A surface-based technique for warping three-dimensional images of the brain.

Authors:  P Thompson; A W Toga
Journal:  IEEE Trans Med Imaging       Date:  1996       Impact factor: 10.048

10.  Registering histologic and MR images of prostate for image-based cancer detection.

Authors:  Yiqiang Zhan; Yangming Ou; Michael Feldman; John Tomaszeweski; Christos Davatzikos; Dinggang Shen
Journal:  Acad Radiol       Date:  2007-11       Impact factor: 3.173

View more
  21 in total

1.  Preliminary experience with a novel method of three-dimensional co-registration of prostate cancer digital histology and in vivo multiparametric MRI.

Authors:  C Orczyk; H Rusinek; A B Rosenkrantz; A Mikheev; F-M Deng; J Melamed; S S Taneja
Journal:  Clin Radiol       Date:  2013-08-28       Impact factor: 2.350

2.  Assessment of change in prostate volume and shape following surgical resection through co-registration of in-vivo MRI and fresh specimen ex-vivo MRI.

Authors:  C Orczyk; S S Taneja; H Rusinek; A B Rosenkrantz
Journal:  Clin Radiol       Date:  2014-07-22       Impact factor: 2.350

3.  Prostate CT segmentation method based on nonrigid registration in ultrasound-guided CT-based HDR prostate brachytherapy.

Authors:  Xiaofeng Yang; Peter Rossi; Tomi Ogunleye; David M Marcus; Ashesh B Jani; Hui Mao; Walter J Curran; Tian Liu
Journal:  Med Phys       Date:  2014-11       Impact factor: 4.071

4.  Multiparametric MRI maps for detection and grading of dominant prostate tumors.

Authors:  Mehdi Moradi; Septimiu E Salcudean; Silvia D Chang; Edward C Jones; Nicholas Buchan; Rowan G Casey; S Larry Goldenberg; Piotr Kozlowski
Journal:  J Magn Reson Imaging       Date:  2012-01-20       Impact factor: 4.813

5.  Imaging of prostate cancer: a platform for 3D co-registration of in-vivo MRI ex-vivo MRI and pathology.

Authors:  Clement Orczyk; Artem Mikheev; Andrew B Rosenkrantz; Jonathan Melamed; Samir S Taneja; Henry Rusinek
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2012-02-23

6.  Role of endorectal MR imaging and MR spectroscopic imaging in defining treatable intraprostatic tumor foci in prostate cancer: quantitative analysis of imaging contour compared to whole-mount histopathology.

Authors:  Mekhail Anwar; Antonio C Westphalen; Adam J Jung; Susan M Noworolski; Jeffry P Simko; John Kurhanewicz; Mack Roach; Peter R Carroll; Fergus V Coakley
Journal:  Radiother Oncol       Date:  2014-01-17       Impact factor: 6.280

Review 7.  Prostate cancer detection and diagnosis: the role of MR and its comparison with other diagnostic modalities--a radiologist's perspective.

Authors:  Tobias Penzkofer; Clare M Tempany-Afdhal
Journal:  NMR Biomed       Date:  2013-09-03       Impact factor: 4.044

8.  Improved Magnetic Resonance Imaging-Pathology Correlation With Imaging-Derived, 3D-Printed, Patient-Specific Whole-Mount Molds of the Prostate.

Authors:  Daniel N Costa; Yonatan Chatzinoff; Niccolo M Passoni; Payal Kapur; Claus G Roehrborn; Yin Xi; Neil M Rofsky; Jose Torrealba; Franto Francis; Cecil Futch; Phyllis Hagens; Hollis Notgrass; Susana Otero-Muinelo; Ivan Pedrosa; Rajiv Chopra
Journal:  Invest Radiol       Date:  2017-09       Impact factor: 6.016

Review 9.  A decade in prostate cancer: from NMR to metabolomics.

Authors:  Elita M DeFeo; Chin-Lee Wu; W Scott McDougal; Leo L Cheng
Journal:  Nat Rev Urol       Date:  2011-05-17       Impact factor: 14.432

Review 10.  Computer-aided Detection of Prostate Cancer with MRI: Technology and Applications.

Authors:  Lizhi Liu; Zhiqiang Tian; Zhenfeng Zhang; Baowei Fei
Journal:  Acad Radiol       Date:  2016-04-25       Impact factor: 3.173

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.