Literature DB >> 12111964

Quantification of spinal cord atrophy from magnetic resonance images via a B-spline active surface model.

O Coulon1, S J Hickman, G J Parker, G J Barker, D H Miller, S R Arridge.   

Abstract

A method is presented that aims at segmenting and measuring the surface of the spinal cord from MR images in order to detect and quantify atrophy. A semiautomatic segmentation with very little intervention from an operator is proposed. It is based on the optimization of a B-spline active surface. The method allows for the computation of orthogonal cross-sections at any level along the cord, from which measurements are derived, such as cross-sectional area or curvature. An evaluation of the accuracy and reproducibility of the method is presented. Copyright 2002 Wiley-Liss, Inc.

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Mesh:

Year:  2002        PMID: 12111964     DOI: 10.1002/mrm.10162

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  15 in total

1.  Accurate quantification methods to evaluate cervical cord atrophy in multiple sclerosis patients.

Authors:  J Carbonell-Caballero; J V Manjón; L Martí-Bonmatí; J R Olalla; B Casanova; M de la Iglesia-Vayá; F Coret; M Robles
Journal:  MAGMA       Date:  2006-11-18       Impact factor: 2.310

2.  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 3.  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

4.  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 5.  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

6.  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

7.  Spinal Cord Atrophy and Early Motor Recovery following Transverse Myelitis in Pediatric Patients.

Authors:  Jung Yoon Kim; Sang Jun Kim; Moon Suk Bang
Journal:  Ann Rehabil Med       Date:  2012-06-30

8.  Rapid semi-automatic segmentation of the spinal cord from magnetic resonance images: application in multiple sclerosis.

Authors:  Mark A Horsfield; Stefania Sala; Mohit Neema; Martina Absinta; Anshika Bakshi; Maria Pia Sormani; Maria A Rocca; Rohit Bakshi; Massimo Filippi
Journal:  Neuroimage       Date:  2010-01-07       Impact factor: 6.556

9.  Comparison of three different methods for measurement of cervical cord atrophy in multiple sclerosis.

Authors:  R Zivadinov; A C Banas; V Yella; N Abdelrahman; B Weinstock-Guttman; M G Dwyer
Journal:  AJNR Am J Neuroradiol       Date:  2007-11-01       Impact factor: 3.825

10.  TOPOLOGY PRESERVING AUTOMATIC SEGMENTATION OF THE SPINAL CORD IN MAGNETIC RESONANCE IMAGES.

Authors:  Min Chen; Aaron Carass; Jennifer Cuzzocreo; Pierre-Louis Bazin; Daniel S Reich; Jerry L Prince
Journal:  Proc IEEE Int Symp Biomed Imaging       Date:  2011 Mar-Apr
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