Literature DB >> 24686470

Tissue-point motion tracking in the tongue from cine MRI and tagged MRI.

Jonghye Woo, Maureen Stone, Yuanming Suo, Emi Z Murano, Jerry L Prince.   

Abstract

PURPOSE Accurate tissue motion tracking within the tongue can help professionals diagnose and treat vocal tract-related disorders, evaluate speech quality before and after surgery, and conduct various scientific studies. The authors compared tissue tracking results from 4 widely used deformable registration (DR) methods applied to cine magnetic resonance imaging (MRI) with harmonic phase (HARP)-based tracking applied to tagged MRI. METHOD Ten subjects repeated the phrase "a geese" multiple times while sagittal images of the head were collected at 26 Hz, first in a tagged MRI data set and then in a cine MRI data set. HARP tracked the motion of 8 specified tissue points in the tagged data set. Four DR methods including diffeomorphic demons and free-form deformations based on cubic B-spline with 3 different similarity measures were used to track the same 8 points in the cine MRI data set. Individual points were tracked and length changes of several muscles were calculated using the DR- and HARP-based tracking methods. RESULTS The results showed that the DR tracking errors were nonsystematic and varied in direction, amount, and timing across speakers and within speakers. Comparison of HARP and DR tracking with manual tracking showed better tracking results for HARP except at the tongue surface, where mistracking caused greater errors in HARP than DR. CONCLUSIONS Tissue point tracking using DR tracking methods contains nonsystematic tracking errors within and across subjects, making it less successful than tagged MRI tracking within the tongue. However, HARP sometimes mistracks points at the tongue surface of tagged MRI because of its limited bandpass filter and tag pattern fading, so that DR has better success measuring surface tissue points on cine MRI than HARP does. Therefore, a hybrid method is being explored.

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Year:  2014        PMID: 24686470      PMCID: PMC4465136          DOI: 10.1044/2014_JSLHR-S-12-0208

Source DB:  PubMed          Journal:  J Speech Lang Hear Res        ISSN: 1092-4388            Impact factor:   2.297


  32 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.  Modeling tongue surface contours from Cine-MRI images.

Authors:  M Stone; E P Davis; A S Douglas; M N Aiver; R Gullapalli; W S Levine; A J Lundberg
Journal:  J Speech Lang Hear Res       Date:  2001-10       Impact factor: 2.297

3.  DENSE: displacement encoding with stimulated echoes in cardiac functional MRI.

Authors:  A H Aletras; S Ding; R S Balaban; H Wen
Journal:  J Magn Reson       Date:  1999-03       Impact factor: 2.229

4.  Deformable registration of high-resolution and cine MR tongue images.

Authors:  Jonghye Woo; Maureen Stone; Jerry L Prince
Journal:  Med Image Comput Comput Assist Interv       Date:  2011

5.  Measuring tongue motion from tagged cine-MRI using harmonic phase (HARP) processing.

Authors:  Vijay Parthasarathy; Jerry L Prince; Maureen Stone; Emi Z Murano; Moriel Nessaiver
Journal:  J Acoust Soc Am       Date:  2007-01       Impact factor: 1.840

6.  Diffeomorphic demons: efficient non-parametric image registration.

Authors:  Tom Vercauteren; Xavier Pennec; Aymeric Perchant; Nicholas Ayache
Journal:  Neuroimage       Date:  2008-11-07       Impact factor: 6.556

7.  Improved myocardial tagging contrast.

Authors:  S E Fischer; G C McKinnon; S E Maier; P Boesiger
Journal:  Magn Reson Med       Date:  1993-08       Impact factor: 4.668

8.  Shortest path refinement for motion estimation from tagged MR images.

Authors:  Xiaofeng Liu; Jerry L Prince
Journal:  IEEE Trans Med Imaging       Date:  2010-03-18       Impact factor: 10.048

9.  Automated 3D motion tracking using Gabor filter bank, robust point matching, and deformable models.

Authors:  Ting Chen; Xiaoxu Wang; Sohae Chung; Dimitris Metaxas; Leon Axel
Journal:  IEEE Trans Med Imaging       Date:  2009-04-14       Impact factor: 10.048

Review 10.  Magnetic resonance-based motion correction for positron emission tomography imaging.

Authors:  Jinsong Ouyang; Quanzheng Li; Georges El Fakhri
Journal:  Semin Nucl Med       Date:  2013-01       Impact factor: 4.446

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  4 in total

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2.  A Sparse Non-Negative Matrix Factorization Framework for Identifying Functional Units of Tongue Behavior From MRI.

Authors:  Jerry L Prince; Maureen Stone; Arnold D Gomez; Jordan R Green; Christopher J Hartnick; Thomas J Brady; Timothy G Reese; Van J Wedeen; Georges El Fakhri
Journal:  IEEE Trans Med Imaging       Date:  2018-09-18       Impact factor: 10.048

3.  Intermittently tagged real-time MRI reveals internal tongue motion during speech production.

Authors:  Weiyi Chen; Dani Byrd; Shrikanth Narayanan; Krishna S Nayak
Journal:  Magn Reson Med       Date:  2019-03-28       Impact factor: 4.668

4.  Morphometric Differences of Vocal Tract Articulators in Different Loudness Conditions in Singing.

Authors:  Matthias Echternach; Fabian Burk; Michael Burdumy; Louisa Traser; Bernhard Richter
Journal:  PLoS One       Date:  2016-04-20       Impact factor: 3.240

  4 in total

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