Literature DB >> 22645031

Image registration for targeted MRI-guided transperineal prostate biopsy.

Andriy Fedorov1, Kemal Tuncali, Fiona M Fennessy, Junichi Tokuda, Nobuhiko Hata, William M Wells, Ron Kikinis, Clare M Tempany.   

Abstract

PURPOSE: To develop and evaluate image registration methodology for automated re-identification of tumor-suspicious foci from preprocedural MR exams during MR-guided transperineal prostate core biopsy.
MATERIALS AND METHODS: A hierarchical approach for automated registration between planning and intra-procedural T2-weighted prostate MRI was developed and evaluated on the images acquired during 10 consecutive MR-guided biopsies. Registration accuracy was quantified at image-based landmarks and by evaluating spatial overlap for the manually segmented prostate and sub-structures. Registration reliability was evaluated by simulating initial mis-registration and analyzing the convergence behavior. Registration precision was characterized at the planned biopsy targets.
RESULTS: The total computation time was compatible with a clinical setting, being at most 2 min. Deformable registration led to a significant improvement in spatial overlap of the prostate and peripheral zone contours compared with both rigid and affine registration. Average in-slice landmark registration error was 1.3 ± 0.5 mm. Experiments simulating initial mis-registration resulted in an estimated average capture range of 6 mm and an average in-slice registration precision of ±0.3 mm.
CONCLUSION: Our registration approach requires minimum user interaction and is compatible with the time constraints of our interventional clinical workflow. The initial evaluation shows acceptable accuracy, reliability and consistency of the method.
Copyright © 2012 Wiley Periodicals, Inc.

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Mesh:

Year:  2012        PMID: 22645031      PMCID: PMC3434292          DOI: 10.1002/jmri.23688

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


  24 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.  MR imaging-guided prostate biopsy with surgical navigation software: device validation and feasibility.

Authors:  N Hata; M Jinzaki; D Kacher; R Cormak; D Gering; A Nabavi; S G Silverman; A V D'Amico; R Kikinis; F A Jolesz; C M Tempany
Journal:  Radiology       Date:  2001-07       Impact factor: 11.105

3.  Deformable image registration for the use of magnetic resonance spectroscopy in prostate treatment planning.

Authors:  Xingen Wu; Steven J Dibiase; Rao Gullapalli; Cedric X Yu
Journal:  Int J Radiat Oncol Biol Phys       Date:  2004-04-01       Impact factor: 7.038

4.  The case for open computer programs.

Authors:  Darrel C Ince; Leslie Hatton; John Graham-Cumming
Journal:  Nature       Date:  2012-02-22       Impact factor: 49.962

5.  Changes in prostate shape and volume and their implications for radiotherapy after introduction of endorectal balloon as determined by MRI at 3T.

Authors:  Stijn W T P J Heijmink; Tom W J Scheenen; Emile N J T van Lin; Andries G Visser; Lambertus A L M Kiemeney; J Alfred Witjes; Jelle O Barentsz
Journal:  Int J Radiat Oncol Biol Phys       Date:  2008-11-25       Impact factor: 7.038

6.  Evaluation of three-dimensional finite element-based deformable registration of pre- and intraoperative prostate imaging.

Authors:  A Bharatha; M Hirose; N Hata; S K Warfield; M Ferrant; K H Zou; E Suarez-Santana; J Ruiz-Alzola; A D'Amico; R A Cormack; R Kikinis; F A Jolesz; C M Tempany
Journal:  Med Phys       Date:  2001-12       Impact factor: 4.071

7.  Screening and prostate-cancer mortality in a randomized European study.

Authors:  Fritz H Schröder; Jonas Hugosson; Monique J Roobol; Teuvo L J Tammela; Stefano Ciatto; Vera Nelen; Maciej Kwiatkowski; Marcos Lujan; Hans Lilja; Marco Zappa; Louis J Denis; Franz Recker; Antonio Berenguer; Liisa Määttänen; Chris H Bangma; Gunnar Aus; Arnauld Villers; Xavier Rebillard; Theodorus van der Kwast; Bert G Blijenberg; Sue M Moss; Harry J de Koning; Anssi Auvinen
Journal:  N Engl J Med       Date:  2009-03-18       Impact factor: 91.245

8.  Real-time MRI-TRUS fusion for guidance of targeted prostate biopsies.

Authors:  Sheng Xu; Jochen Kruecker; Baris Turkbey; Neil Glossop; Anurag K Singh; Peter Choyke; Peter Pinto; Bradford J Wood
Journal:  Comput Aided Surg       Date:  2008-09

Review 9.  MR-guided biopsy of the prostate: an overview of techniques and a systematic review.

Authors:  Kirsten M Pondman; Jurgen J Fütterer; Bennie ten Haken; Leo J Schultze Kool; J Alfred Witjes; Thomas Hambrock; Katarzyna J Macura; Jelle O Barentsz
Journal:  Eur Urol       Date:  2008-06-12       Impact factor: 20.096

10.  Reducing uncertainties in volumetric image based deformable organ registration.

Authors:  J Liang; D Yan
Journal:  Med Phys       Date:  2003-08       Impact factor: 4.071

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  30 in total

1.  Open Source Platform for Transperineal In-Bore MRI-Guided Targeted Prostate Biopsy.

Authors:  Christian Herz; Kyle MacNeil; Peter A Behringer; Junichi Tokuda; Alireza Mehrtash; Parvin Mousavi; Ron Kikinis; Fiona M Fennessy; Clare M Tempany; Kemal Tuncali; Andriy Fedorov
Journal:  IEEE Trans Biomed Eng       Date:  2019-05-23       Impact factor: 4.538

2.  DeepInfer: Open-Source Deep Learning Deployment Toolkit for Image-Guided Therapy.

Authors:  Alireza Mehrtash; Mehran Pesteie; Jorden Hetherington; Peter A Behringer; Tina Kapur; William M Wells; Robert Rohling; Andriy Fedorov; Purang Abolmaesumi
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2017-03-03

3.  A multi-vertebrae CT to US registration of the lumbar spine in clinical data.

Authors:  Simrin Nagpal; Purang Abolmaesumi; Abtin Rasoulian; Ilker Hacihaliloglu; Tamas Ungi; Jill Osborn; Victoria A Lessoway; John Rudan; Melanie Jaeger; Robert N Rohling; Dan P Borschneck; Parvin Mousavi
Journal:  Int J Comput Assist Radiol Surg       Date:  2015-07-15       Impact factor: 2.924

4.  3T MR-guided in-bore transperineal prostate biopsy: A comparison of robotic and manual needle-guidance templates.

Authors:  Gaurie Tilak; Kemal Tuncali; Sang-Eun Song; Junichi Tokuda; Olutayo Olubiyi; Fiona Fennessy; Andriy Fedorov; Tobias Penzkofer; Clare Tempany; Nobuhiko Hata
Journal:  J Magn Reson Imaging       Date:  2014-09-27       Impact factor: 4.813

5.  Application of tolerance limits to the characterization of image registration performance.

Authors:  Andriy Fedorov; William M Wells; Ron Kikinis; Clare M Tempany; Mark G Vangel
Journal:  IEEE Trans Med Imaging       Date:  2014-04-16       Impact factor: 10.048

6.  Open-source image registration for MRI-TRUS fusion-guided prostate interventions.

Authors:  Andriy Fedorov; Siavash Khallaghi; C Antonio Sánchez; Andras Lasso; Sidney Fels; Kemal Tuncali; Emily Neubauer Sugar; Tina Kapur; Chenxi Zhang; William Wells; Paul L Nguyen; Purang Abolmaesumi; Clare Tempany
Journal:  Int J Comput Assist Radiol Surg       Date:  2015-04-07       Impact factor: 2.924

7.  Segmented diffusion-weighted imaging of the prostate: Application to transperineal in-bore 3T MR image-guided targeted biopsy.

Authors:  Andriy Fedorov; Kemal Tuncali; Lawrence P Panych; Janice Fairhurst; Elmira Hassanzadeh; Ravi T Seethamraju; Clare M Tempany; Stephan E Maier
Journal:  Magn Reson Imaging       Date:  2016-05-27       Impact factor: 2.546

8.  Characterization of gradient echo signal decays in healthy and cancerous prostate at 3T improves with a Gaussian augmentation of the mono-exponential (GAME) model.

Authors:  Pelin Aksit Ciris; Mukund Balasubramanian; Ravi T Seethamraju; Junichi Tokuda; Jonathan Scalera; Tobias Penzkofer; Fiona M Fennessy; Clare M Tempany-Afdhal; Kemal Tuncali; Robert V Mulkern
Journal:  NMR Biomed       Date:  2016-05-31       Impact factor: 4.044

9.  Deformable segmentation of 3D MR prostate images via distributed discriminative dictionary and ensemble learning.

Authors:  Yanrong Guo; Yaozong Gao; Yeqin Shao; True Price; Aytekin Oto; Dinggang Shen
Journal:  Med Phys       Date:  2014-07       Impact factor: 4.071

10.  Open-Source Platform for Prostate Motion Tracking During in-Bore Targeted MRI-Guided Biopsy.

Authors:  Peter A Behringer; Christian Herz; Tobias Penzkofer; Kemal Tuncali; Clare M Tempany; Andriy Fedorov
Journal:  Clin Image Based Proced       Date:  2016-03-23
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