Literature DB >> 22154960

Real-time image-based rigid registration of three-dimensional ultrasound.

Robert J Schneider1, Douglas P Perrin, Nikolay V Vasilyev, Gerald R Marx, Pedro J Del Nido, Robert D Howe.   

Abstract

Registration of three-dimensional ultrasound (3DUS) volumes is necessary in several applications, such as when stitching volumes to expand the field of view or when stabilizing a temporal sequence of volumes to cancel out motion of the probe or anatomy. Current systems that register 3DUS volumes either use external tracking systems (electromagnetic or optical), which add expense and impose limitations on acquisitions, or are image-based methods that operate offline and are incapable of providing immediate feedback to clinicians. This paper presents a real-time image-based algorithm for rigid registration of 3DUS volumes designed for acquisitions in which small probe displacements occur between frames. Described is a method for feature detection and descriptor formation that takes into account the characteristics of 3DUS imaging. Volumes are registered by determining a correspondence between these features. A global set of features is maintained and integrated into the registration, which limits the accumulation of registration error. The system operates in real-time (i.e. volumes are registered as fast or faster than they are acquired) by using an accelerated framework on a graphics processing unit. The algorithm's parameter selection and performance is analyzed and validated in studies which use both water tank and clinical images. The resulting registration accuracy is comparable to similar feature-based registration methods, but in contrast to these methods, can register 3DUS volumes in real-time.
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 22154960      PMCID: PMC3267836          DOI: 10.1016/j.media.2011.10.004

Source DB:  PubMed          Journal:  Med Image Anal        ISSN: 1361-8415            Impact factor:   8.545


  21 in total

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Review 2.  A review of cardiac image registration methods.

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Journal:  IEEE Trans Med Imaging       Date:  2002-09       Impact factor: 10.048

Review 3.  A review of calibration techniques for freehand 3-D ultrasound systems.

Authors:  Laurence Mercier; Thomas Langø; Frank Lindseth; Louis D Collins
Journal:  Ultrasound Med Biol       Date:  2005-02       Impact factor: 2.998

4.  Cardiac motion analysis from ultrasound sequences using nonrigid registration: validation against Doppler tissue velocity.

Authors:  M J Ledesma-Carbayo; P Mahía-Casado; A Santos; E Pérez-David; M A García-Fernández; M Desco
Journal:  Ultrasound Med Biol       Date:  2006-04       Impact factor: 2.998

5.  Intra-subject elastic registration of 3D ultrasound images.

Authors:  Pezhman Foroughi; Purang Abolmaesumi; Keyvan Hashtrudi-Zaad
Journal:  Med Image Anal       Date:  2006-08-14       Impact factor: 8.545

6.  Three-dimensional extended field-of-view ultrasound.

Authors:  Tony C Poon; Robert N Rohling
Journal:  Ultrasound Med Biol       Date:  2006-03       Impact factor: 2.998

7.  Registration strategies and similarity measures for three-dimensional ultrasound mosaicing.

Authors:  Christian Wachinger; Wolfgang Wein; Nassir Navab
Journal:  Acad Radiol       Date:  2008-11       Impact factor: 3.173

8.  Automatic registration of 3-D ultrasound images.

Authors:  R N Rohling; A H Gee; L Berman
Journal:  Ultrasound Med Biol       Date:  1998-07       Impact factor: 2.998

9.  The evaluation of single-view and multi-view fusion 3D echocardiography using image-driven segmentation and tracking.

Authors:  Kashif Rajpoot; Vicente Grau; J Alison Noble; Harald Becher; Cezary Szmigielski
Journal:  Med Image Anal       Date:  2011-03-21       Impact factor: 8.545

10.  Least-squares fitting of two 3-d point sets.

Authors:  K S Arun; T S Huang; S D Blostein
Journal:  IEEE Trans Pattern Anal Mach Intell       Date:  1987-05       Impact factor: 6.226

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  9 in total

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Journal:  J Med Imaging (Bellingham)       Date:  2016-07-08

2.  Bidirectional elastic image registration using B-spline affine transformation.

Authors:  Suicheng Gu; Xin Meng; Frank C Sciurba; Hongxia Ma; Joseph Leader; Naftali Kaminski; David Gur; Jiantao Pu
Journal:  Comput Med Imaging Graph       Date:  2014-01-25       Impact factor: 4.790

3.  Enabling 3D Ultrasound Procedure Guidance through Enhanced Visualization.

Authors:  Laura J Brattain; Nikolay V Vasilyev; Robert D Howe
Journal:  Inf Process Comput Assist Interv (2012)       Date:  2012-06

4.  Non-rigid registration of 3D ultrasound for neurosurgery using automatic feature detection and matching.

Authors:  Inês Machado; Matthew Toews; Jie Luo; Prashin Unadkat; Walid Essayed; Elizabeth George; Pedro Teodoro; Herculano Carvalho; Jorge Martins; Polina Golland; Steve Pieper; Sarah Frisken; Alexandra Golby; William Wells
Journal:  Int J Comput Assist Radiol Surg       Date:  2018-06-04       Impact factor: 2.924

5.  Robust Spatio-Temporal Registration of 4D Cardiac Ultrasound Sequences.

Authors:  Jørn Bersvendsen; Matthew Toews; Adriyana Danudibroto; William M Wells; Stig Urheim; Raúl San José Estépar; Eigil Samset
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2016-04-01

6.  Automatic and efficient MRI-US segmentations for improving intraoperative image fusion in image-guided neurosurgery.

Authors:  J Nitsch; J Klein; P Dammann; K Wrede; O Gembruch; J H Moltz; H Meine; U Sure; R Kikinis; D Miller
Journal:  Neuroimage Clin       Date:  2019-03-12       Impact factor: 4.881

7.  Block-matching-based registration to evaluate ultrasound visibility of percutaneous needles in liver-mimicking phantoms.

Authors:  Juan A Sánchez-Margallo; Lisette Tas; Adriaan Moelker; John J van den Dobbelsteen; Francisco M Sánchez-Margallo; Thomas Langø; Theo van Walsum; Nick J van de Berg
Journal:  Med Phys       Date:  2021-10-31       Impact factor: 4.506

8.  Three-dimensional Reconstruction of Peripheral Nerve Internal Fascicular Groups.

Authors:  Yingchun Zhong; Liping Wang; Jianghui Dong; Yi Zhang; Peng Luo; Jian Qi; Xiaolin Liu; Cory J Xian
Journal:  Sci Rep       Date:  2015-11-24       Impact factor: 4.379

9.  M3VR-A multi-stage, multi-resolution, and multi-volumes-of-interest volume registration method applied to 3D endovaginal ultrasound.

Authors:  Qi Xing; Parag Chitnis; Siddhartha Sikdar; Jonia Alshiek; S Abbas Shobeiri; Qi Wei
Journal:  PLoS One       Date:  2019-11-21       Impact factor: 3.240

  9 in total

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