Literature DB >> 24338728

Intensity based methods for brain MRI longitudinal registration. A study on multiple sclerosis patients.

Yago Diez1, Arnau Oliver, Mariano Cabezas, Sergi Valverde, Robert Martí, Joan Carles Vilanova, Lluís Ramió-Torrentà, Alex Rovira, Xavier Lladó.   

Abstract

Registration is a key step in many automatic brain Magnetic Resonance Imaging (MRI) applications. In this work we focus on longitudinal registration of brain MRI for Multiple Sclerosis (MS) patients. First of all, we analyze the effect that MS lesions have on registration by synthetically eliminating some of the lesions. Our results show how a widely used method for longitudinal registration such as rigid registration is practically unconcerned by the presence of MS lesions while several non-rigid registration methods produce outputs that are significantly different. We then focus on assessing which is the best registration method for longitudinal MRI images of MS patients. In order to analyze the results obtained for all studied criteria, we use both descriptive statistics and statistical inference: one way ANOVA, pairwise t-tests and permutation tests.

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Year:  2014        PMID: 24338728     DOI: 10.1007/s12021-013-9216-z

Source DB:  PubMed          Journal:  Neuroinformatics        ISSN: 1539-2791


  27 in total

1.  Comparison and evaluation of rigid, affine, and nonrigid registration of breast MR images.

Authors:  E R Denton; L I Sonoda; D Rueckert; S C Rankin; C Hayes; M O Leach; D L Hill; D J Hawkes
Journal:  J Comput Assist Tomogr       Date:  1999 Sep-Oct       Impact factor: 1.826

2.  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

3.  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

4.  Evaluating intensity normalization on MRIs of human brain with multiple sclerosis.

Authors:  Mohak Shah; Yiming Xiao; Nagesh Subbanna; Simon Francis; Douglas L Arnold; D Louis Collins; Tal Arbel
Journal:  Med Image Anal       Date:  2010-12-25       Impact factor: 8.545

5.  Registration using sparse free-form deformations.

Authors:  Wenzhe Shi; Xiahai Zhuang; Luis Pizarro; Wenjia Bai; Haiyan Wang; Kai-Pin Tung; Philip Edwards; Daniel Rueckert
Journal:  Med Image Comput Comput Assist Interv       Date:  2012

6.  Temporally consistent probabilistic detection of new multiple sclerosis lesions in brain MRI.

Authors:  Colm Elliott; Douglas L Arnold; D Louis Collins; Tal Arbel
Journal:  IEEE Trans Med Imaging       Date:  2013-04-16       Impact factor: 10.048

7.  Reducing the impact of white matter lesions on automated measures of brain gray and white matter volumes.

Authors:  Declan T Chard; Jonathan S Jackson; David H Miller; Claudia A M Wheeler-Kingshott
Journal:  J Magn Reson Imaging       Date:  2010-07       Impact factor: 4.813

Review 8.  Machine learning and radiology.

Authors:  Shijun Wang; Ronald M Summers
Journal:  Med Image Anal       Date:  2012-02-23       Impact factor: 8.545

Review 9.  Automated detection of multiple sclerosis lesions in serial brain MRI.

Authors:  Xavier Lladó; Onur Ganiler; Arnau Oliver; Robert Martí; Jordi Freixenet; Laia Valls; Joan C Vilanova; Lluís Ramió-Torrentà; Alex Rovira
Journal:  Neuroradiology       Date:  2011-12-20       Impact factor: 2.804

10.  Subtraction MR images in a multiple sclerosis multicenter clinical trial setting.

Authors:  Bastiaan Moraal; Dominik S Meier; Peter A Poppe; Jeroen J G Geurts; Hugo Vrenken; William M A Jonker; Dirk L Knol; Ronald A van Schijndel; Petra J W Pouwels; Christoph Pohl; Lars Bauer; Rupert Sandbrink; Charles R G Guttmann; Frederik Barkhof
Journal:  Radiology       Date:  2008-11-26       Impact factor: 11.105

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  8 in total

1.  A toolbox for multiple sclerosis lesion segmentation.

Authors:  Eloy Roura; Arnau Oliver; Mariano Cabezas; Sergi Valverde; Deborah Pareto; Joan C Vilanova; Lluís Ramió-Torrentà; Àlex Rovira; Xavier Lladó
Journal:  Neuroradiology       Date:  2015-07-31       Impact factor: 2.804

Review 2.  Evidence-based guidelines: MAGNIMS consensus guidelines on the use of MRI in multiple sclerosis-clinical implementation in the diagnostic process.

Authors:  Àlex Rovira; Mike P Wattjes; Mar Tintoré; Carmen Tur; Tarek A Yousry; Maria P Sormani; Nicola De Stefano; Massimo Filippi; Cristina Auger; Maria A Rocca; Frederik Barkhof; Franz Fazekas; Ludwig Kappos; Chris Polman; David Miller; Xavier Montalban
Journal:  Nat Rev Neurol       Date:  2015-07-07       Impact factor: 42.937

3.  Deformable MRI-Ultrasound registration using correlation-based attribute matching for brain shift correction: Accuracy and generality in multi-site data.

Authors:  Inês Machado; Matthew Toews; Elizabeth George; Prashin Unadkat; Walid Essayed; Jie Luo; Pedro Teodoro; Herculano Carvalho; Jorge Martins; Polina Golland; Steve Pieper; Sarah Frisken; Alexandra Golby; William Wells Iii; Yangming Ou
Journal:  Neuroimage       Date:  2019-08-22       Impact factor: 6.556

4.  Improved Automatic Detection of New T2 Lesions in Multiple Sclerosis Using Deformation Fields.

Authors:  M Cabezas; J F Corral; A Oliver; Y Díez; M Tintoré; C Auger; X Montalban; X Lladó; D Pareto; À Rovira
Journal:  AJNR Am J Neuroradiol       Date:  2016-06-09       Impact factor: 3.825

5.  Validation of White-Matter Lesion Change Detection Methods on a Novel Publicly Available MRI Image Database.

Authors:  Žiga Lesjak; Franjo Pernuš; Boštjan Likar; Žiga Špiclin
Journal:  Neuroinformatics       Date:  2016-10

6.  Brain extraction in pediatric ADC maps, toward characterizing neuro-development in multi-platform and multi-institution clinical images.

Authors:  Yangming Ou; Randy L Gollub; Kallirroi Retzepi; Nathaniel Reynolds; Rudolph Pienaar; Steve Pieper; Shawn N Murphy; P Ellen Grant; Lilla Zöllei
Journal:  Neuroimage       Date:  2015-08-07       Impact factor: 6.556

7.  A white matter lesion-filling approach to improve brain tissue volume measurements.

Authors:  Sergi Valverde; Arnau Oliver; Xavier Lladó
Journal:  Neuroimage Clin       Date:  2014-08-23       Impact factor: 4.881

8.  A supervised framework with intensity subtraction and deformation field features for the detection of new T2-w lesions in multiple sclerosis.

Authors:  Mostafa Salem; Mariano Cabezas; Sergi Valverde; Deborah Pareto; Arnau Oliver; Joaquim Salvi; Àlex Rovira; Xavier Lladó
Journal:  Neuroimage Clin       Date:  2017-11-20       Impact factor: 4.881

  8 in total

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