Literature DB >> 17633688

Adaptive non-rigid registration of real time 3D ultrasound to cardiovascular MR images.

Weiwei Zhang1, J Alison Noble, J Mike Brady.   

Abstract

We present a new method to non-rigidly co-register a real-time 3D ultrasound volume slice to a cardiovascular MR image. The motivation for our research is to assist a clinician to automatically fuse the information from multiple imaging modalities for the early diagnosis and therapy of cardiac disease. The local phase presentation of both images is utilized as an image descriptor of the "featureness". The local deformation of ventricles is modeled by a polyaffine transformation. The anchor points (or control points) used in the polyaffine transformation are automatically detected and refined by calculating a local mis-match measure based on phase mutual information. The registration process is built in an adaptive multi-scale framework to maximize the phase-based similarity measure by optimizing the parameters of the polyaffine transformation. Registration results have demonstrated that this novel method is superior to our prior work, yielding an accurate registration to local cardiac regions.

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Year:  2007        PMID: 17633688     DOI: 10.1007/978-3-540-73273-0_5

Source DB:  PubMed          Journal:  Inf Process Med Imaging        ISSN: 1011-2499


  4 in total

1.  Bayesian registration via local image regions: information, selection and marginalization.

Authors:  Matthew Toews; William M Wells
Journal:  Inf Process Med Imaging       Date:  2009

2.  Ultrasonic image analysis and image-guided interventions.

Authors:  J Alison Noble; Nassir Navab; H Becher
Journal:  Interface Focus       Date:  2011-06-15       Impact factor: 3.906

3.  Fast rigid registration of pre-operative magnetic resonance images to intra-operative ultrasound for neurosurgery based on high confidence gradient orientations.

Authors:  Dante De Nigris; D Louis Collins; Tal Arbel
Journal:  Int J Comput Assist Radiol Surg       Date:  2013-03-21       Impact factor: 2.924

4.  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

  4 in total

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