Literature DB >> 18334432

A new method for registration-based medical image interpolation.

David H Frakes1, Lakshmi P Dasi, Kerem Pekkan, Hiroumi D Kitajima, Kartik Sundareswaran, Ajit P Yoganathan, Mark J T Smith.   

Abstract

A new technique is presented for interpolating between grey-scale images in a medical data set. Registration between neighboring slices is achieved with a modified control grid interpolation algorithm that selectively accepts displacement field updates in a manner optimized for performance. A cubic interpolator is then applied to pixel intensities correlated by the displacement fields. Special considerations are made for efficiency, interpolation quality, and compression in the implementation of the algorithm. Experimental results show that the new method achieves good quality, while offering dramatic improvement in efficiency relative to the best competing method.

Mesh:

Year:  2008        PMID: 18334432     DOI: 10.1109/TMI.2007.907324

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  12 in total

1.  A non-local approach for image super-resolution using intermodality priors.

Authors:  François Rousseau
Journal:  Med Image Anal       Date:  2010-05-06       Impact factor: 8.545

2.  MRI upsampling using feature-based nonlocal means approach.

Authors:  Kourosh Jafari-Khouzani
Journal:  IEEE Trans Med Imaging       Date:  2014-06-12       Impact factor: 10.048

3.  Modified control grid interpolation for the volumetric reconstruction of fluid flows.

Authors:  David H Frakes; Kerem Pekkan; Lakshmi P Dasi; Hiroumi D Kitajima; Diane de Zelicourt; Hwa Liang Leo; Josie Carberry; Kartik Sundareswaran; Helene Simon; Ajit P Yoganathan
Journal:  Exp Fluids       Date:  2008-12       Impact factor: 2.480

4.  Surgical planning of the total cavopulmonary connection: robustness analysis.

Authors:  Maria Restrepo; Mark Luffel; Jake Sebring; Kirk Kanter; Pedro Del Nido; Alessandro Veneziani; Jarek Rossignac; Ajit Yoganathan
Journal:  Ann Biomed Eng       Date:  2014-10-15       Impact factor: 3.934

5.  Can time-averaged flow boundary conditions be used to meet the clinical timeline for Fontan surgical planning?

Authors:  Zhenglun Alan Wei; Phillip M Trusty; Mike Tree; Christopher M Haggerty; Elaine Tang; Mark Fogel; Ajit P Yoganathan
Journal:  J Biomech       Date:  2016-11-10       Impact factor: 2.712

Review 6.  Mechanobiology and the microcirculation: cellular, nuclear and fluid mechanics.

Authors:  Kris Noel Dahl; Agnieszka Kalinowski; Kerem Pekkan
Journal:  Microcirculation       Date:  2010-04       Impact factor: 2.628

7.  Effect of flow pulsatility on modeling the hemodynamics in the total cavopulmonary connection.

Authors:  Reza H Khiabani; Maria Restrepo; Elaine Tang; Diane De Zélicourt; Fotis Sotiropoulos; Mark Fogel; Ajit P Yoganathan
Journal:  J Biomech       Date:  2012-07-28       Impact factor: 2.712

8.  Hemodynamic performance of stage-2 univentricular reconstruction: Glenn vs. hemi-Fontan templates.

Authors:  Kerem Pekkan; Lakshimi P Dasi; Diane de Zélicourt; Kartik S Sundareswaran; Mark A Fogel; Kirk R Kanter; Ajit P Yoganathan
Journal:  Ann Biomed Eng       Date:  2008-11-06       Impact factor: 3.934

9.  Patient-specific surgical planning and hemodynamic computational fluid dynamics optimization through free-form haptic anatomy editing tool (SURGEM).

Authors:  Kerem Pekkan; Brian Whited; Kirk Kanter; Shiva Sharma; Diane de Zelicourt; Kartik Sundareswaran; David Frakes; Jarek Rossignac; Ajit P Yoganathan
Journal:  Med Biol Eng Comput       Date:  2008-08-05       Impact factor: 2.602

10.  Fast acquisition and reconstruction of optical coherence tomography images via sparse representation.

Authors:  Leyuan Fang; Shutao Li; Ryan P McNabb; Qing Nie; Anthony N Kuo; Cynthia A Toth; Joseph A Izatt; Sina Farsiu
Journal:  IEEE Trans Med Imaging       Date:  2013-07-03       Impact factor: 10.048

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