Literature DB >> 20529752

Automatic segmentation of spinal cord MRI using symmetric boundary tracing.

Dipti Prasad Mukherjee1, Irene Cheng, Nilanjan Ray, Vivian Mushahwar, Marc Lebel, Anup Basu.   

Abstract

We develop an adaptive active contour tracing algorithm for extraction of spinal cord from MRI that is fully automatic, unlike existing approaches that need manually chosen seeds. We can accurately extract the target spinal cord and construct the volume of interest to provide visual guidance for strategic rehabilitation surgery planning.

Entities:  

Mesh：

Year:  2010        PMID： 20529752      PMCID： PMC3038784          DOI： 10.1109/TITB.2010.2052060

Source DB:  PubMed          Journal:  IEEE Trans Inf Technol Biomed        ISSN： 1089-7771


  3 in total

1.  Spinal cord microstimulation generates functional limb movements in chronically implanted cats.

Authors:  V K Mushahwar; D F Collins; A Prochazka
Journal:  Exp Neurol       Date:  2000-06       Impact factor: 5.330

2.  Spinal crawlers: deformable organisms for spinal cord segmentation and analysis.

Authors:  Chris McIntosh; Ghassan Hamarneh
Journal:  Med Image Comput Comput Assist Interv       Date:  2006

3.  A knowledge-based approach to automatic detection of the spinal cord in CT images.

Authors:  Neculai Archip; Pierre-Jean Erard; Michael Egmont-Petersen; Jean-Marie Haefliger; Jean-Francois Germond
Journal:  IEEE Trans Med Imaging       Date:  2002-12       Impact factor: 10.048
  3 in total
  7 in total

1.  Automatic magnetic resonance spinal cord segmentation with topology constraints for variable fields of view.

Authors:  Min Chen; Aaron Carass; Jiwon Oh; Govind Nair; Dzung L Pham; Daniel S Reich; Jerry L Prince
Journal:  Neuroimage       Date:  2013-08-06       Impact factor: 6.556

Review 2.  On computerized methods for spine analysis in MRI: a systematic review.

Authors:  Marko Rak; Klaus D Tönnies
Journal:  Int J Comput Assist Radiol Surg       Date:  2016-02-09       Impact factor: 2.924

3.  Reliable and fast volumetry of the lumbar spinal cord using cord image analyser (Cordial).

Authors:  Charidimos Tsagkas; Anna Altermatt; Ulrike Bonati; Simon Pezold; Julia Reinhard; Michael Amann; Philippe Cattin; Jens Wuerfel; Dirk Fischer; Katrin Parmar; Arne Fischmann
Journal:  Eur Radiol       Date:  2018-04-30       Impact factor: 5.315

Review 4.  Segmentation of the human spinal cord.

Authors:  Benjamin De Leener; Manuel Taso; Julien Cohen-Adad; Virginie Callot
Journal:  MAGMA       Date:  2016-01-02       Impact factor: 2.310

5.  Reliable volumetry of the cervical spinal cord in MS patient follow-up data with cord image analyzer (Cordial).

Authors:  Michael Amann; Simon Pezold; Yvonne Naegelin; Ketut Fundana; Michaela Andělová; Katrin Weier; Christoph Stippich; Ludwig Kappos; Ernst-Wilhelm Radue; Philippe Cattin; Till Sprenger
Journal:  J Neurol       Date:  2016-05-09       Impact factor: 4.849

6.  Spinal Cord Segmentation by One Dimensional Normalized Template Matching: A Novel, Quantitative Technique to Analyze Advanced Magnetic Resonance Imaging Data.

Authors:  Adam Cadotte; David W Cadotte; Micha Livne; Julien Cohen-Adad; David Fleet; David Mikulis; Michael G Fehlings
Journal:  PLoS One       Date:  2015-10-07       Impact factor: 3.240

7.  Comparative neuroanatomy of the lumbosacral spinal cord of the rat, cat, pig, monkey, and human.

Authors:  Amirali Toossi; Bradley Bergin; Maedeh Marefatallah; Behdad Parhizi; Neil Tyreman; Dirk G Everaert; Sabereh Rezaei; Peter Seres; J Christopher Gatenby; Steve I Perlmutter; Vivian K Mushahwar
Journal:  Sci Rep       Date:  2021-01-21       Impact factor: 4.379
  7 in total

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