Literature DB >> 12631511

A comparative study of warping and rigid body registration for the prostate and pelvic MR volumes.

Baowei Fei1, Corey Kemper, David L Wilson.   

Abstract

A three-dimensional warping registration algorithm was created and compared to rigid body registration of magnetic resonance (MR) pelvic volumes including the prostate. The rigid body registration method combines the advantages of mutual information (MI) and correlation coefficient at different resolutions. Warping registration is based upon independent optimization of many interactively placed control points (CP's) using MI and a thin plate spline transformation. More than 100 registration experiments with 17 MR volume pairs determined the quality of registration under conditions simulating potential interventional MRI-guided treatments of prostate cancer. For image pairs that stress rigid body registration (e.g. supine, the diagnostic position, and legs raised, the treatment position), both visual and numerical evaluation methods showed that warping consistently worked better than rigid body. Experiments showed that approximately 180 strategically placed CP's were sufficiently expressive to capture important features of the deformation.

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Year:  2003        PMID: 12631511     DOI: 10.1016/s0895-6111(02)00093-9

Source DB:  PubMed          Journal:  Comput Med Imaging Graph        ISSN: 0895-6111            Impact factor:   4.790


  21 in total

1.  Computer-aided diagnosis of prostate cancer with MRI.

Authors:  Baowei Fei
Journal:  Curr Opin Biomed Eng       Date:  2017-09

Review 2.  MR-guided prostate interventions.

Authors:  Clare Tempany; Sarah Straus; Nobuhiko Hata; Steven Haker
Journal:  J Magn Reson Imaging       Date:  2008-02       Impact factor: 4.813

3.  Feature-based rectal contour propagation from planning CT to cone beam CT.

Authors:  Yaoqin Xie; Ming Chao; Percy Lee; Lei Xing
Journal:  Med Phys       Date:  2008-10       Impact factor: 4.071

4.  Prostate multimodality image registration based on B-splines and quadrature local energy.

Authors:  Jhimli Mitra; Robert Martí; Arnau Oliver; Xavier Lladó; Soumya Ghose; Joan C Vilanova; Fabrice Meriaudeau
Journal:  Int J Comput Assist Radiol Surg       Date:  2011-06-26       Impact factor: 2.924

5.  PSNet: prostate segmentation on MRI based on a convolutional neural network.

Authors:  Zhiqiang Tian; Lizhi Liu; Zhenfeng Zhang; Baowei Fei
Journal:  J Med Imaging (Bellingham)       Date:  2018-01-17

6.  A deformable multimodal image registration using PET/CT and TRUS for intraoperative focal prostate brachytherapy.

Authors:  Sharmin Sultana; Daniel Y Song; Junghoon Lee
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2019-03-08

7.  Accuracy Evaluation of a 3D Ultrasound-guided Biopsy System.

Authors:  Walter J Wooten; Jonathan A Nye; David M Schuster; Peter T Nieh; Viraj A Master; John R Votaw; Baowei Fei
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2013-03-14

8.  Register cardiac fiber orientations from 3D DTI volume to 2D ultrasound image of rat hearts.

Authors:  Xulei Qin; Silun Wang; Ming Shen; Xiaodong Zhang; Stamatios Lerakis; Mary B Wagner; Baowei Fei
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2015-03-18

9.  A registration based approach for 4D cardiac micro-CT using combined prospective and retrospective gating.

Authors:  Cristian T Badea; Eduard Schreibmann; Tim Fox
Journal:  Med Phys       Date:  2008-04       Impact factor: 4.071

10.  MRI signal intensity based B-spline nonrigid registration for pre- and intraoperative imaging during prostate brachytherapy.

Authors:  Sota Oguro; Junichi Tokuda; Haytham Elhawary; Steven Haker; Ron Kikinis; Clare M C Tempany; Nobuhiko Hata
Journal:  J Magn Reson Imaging       Date:  2009-11       Impact factor: 4.813

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