Literature DB >> 29459902

Whole Brain Parcellation with Pathology: Validation on Ventriculomegaly Patients.

Aaron Carass1,2, Muhan Shao1, Xiang Li1, Blake E Dewey1, Ari M Blitz3, Snehashis Roy4, Dzung L Pham4, Jerry L Prince1,2, Lotta M Ellingsen1,5.   

Abstract

Numerous brain disorders are associated with ventriculomegaly; normal pressure hydrocephalus (NPH) is one example. NPH presents with dementia-like symptoms and is often misdiagnosed as Alzheimer's due to its chronic nature and nonspecific presenting symptoms. However, unlike other forms of dementia NPH can be treated surgically with an over 80% success rate on appropriately selected patients. Accurate assessment of the ventricles, in particular its sub-compartments, is required to diagnose the condition. Existing segmentation algorithms fail to accurately identify the ventricles in patients with such extreme pathology. We present an improvement to a whole brain segmentation approach that accurately identifies the ventricles and parcellates them into four sub-compartments. Our work is a combination of patch-based tissue segmentation and multi-atlas registration-based labeling. We include a validation on NPH patients, demonstrating superior performance against state-of-the-art methods.

Entities:  

Keywords:  Brain; Enlarged ventricles; Hydrocephalus; MRI

Year:  2017        PMID: 29459902      PMCID: PMC5815833          DOI: 10.1007/978-3-319-67434-6_3

Source DB:  PubMed          Journal:  Patch Based Tech Med Imaging (2017)


  14 in total

1.  SYMPTOMATIC OCCULT HYDROCEPHALUS WITH "NORMAL" CEREBROSPINAL-FLUID PRESSURE.A TREATABLE SYNDROME.

Authors:  R D ADAMS; C M FISHER; S HAKIM; R G OJEMANN; W H SWEET
Journal:  N Engl J Med       Date:  1965-07-15       Impact factor: 91.245

2.  Patch-based segmentation using expert priors: application to hippocampus and ventricle segmentation.

Authors:  Pierrick Coupé; José V Manjón; Vladimir Fonov; Jens Pruessner; Montserrat Robles; D Louis Collins
Journal:  Neuroimage       Date:  2010-09-17       Impact factor: 6.556

3.  The mean field theory in EM procedures for blind Markov random field image restoration.

Authors:  J Zhang
Journal:  IEEE Trans Image Process       Date:  1993       Impact factor: 10.856

Review 4.  Systematic review of the outcome of shunt surgery in idiopathic normal-pressure hydrocephalus.

Authors:  Ahmed K Toma; Marios C Papadopoulos; Simon Stapleton; Neil D Kitchen; Laurence D Watkins
Journal:  Acta Neurochir (Wien)       Date:  2013-08-23       Impact factor: 2.216

Review 5.  FreeSurfer.

Authors:  Bruce Fischl
Journal:  Neuroimage       Date:  2012-01-10       Impact factor: 6.556

6.  Segmentation and labeling of the ventricular system in normal pressure hydrocephalus using patch-based tissue classification and multi-atlas labeling.

Authors:  Lotta M Ellingsen; Snehashis Roy; Aaron Carass; Ari M Blitz; Dzung L Pham; Jerry L Prince
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2016-02-27

7.  Is the placement of shunts in patients with idiopathic normal-pressure hydrocephalus worth the risk? Results of a study based on continuous monitoring of intracranial pressure.

Authors:  Maria A Poca; Maria Mataró; Maria Del Mar Matarín; Fuat Arikan; Carmen Junqué; Juan Sahuquillo
Journal:  J Neurosurg       Date:  2004-05       Impact factor: 5.115

8.  Symmetric diffeomorphic image registration with cross-correlation: evaluating automated labeling of elderly and neurodegenerative brain.

Authors:  B B Avants; C L Epstein; M Grossman; J C Gee
Journal:  Med Image Anal       Date:  2007-06-23       Impact factor: 8.545

9.  Subject-Specific Sparse Dictionary Learning for Atlas-Based Brain MRI Segmentation.

Authors:  Snehashis Roy; Qing He; Elizabeth Sweeney; Aaron Carass; Daniel S Reich; Jerry L Prince; Dzung L Pham
Journal:  IEEE J Biomed Health Inform       Date:  2015-09       Impact factor: 5.772

10.  Robust whole-brain segmentation: application to traumatic brain injury.

Authors:  Christian Ledig; Rolf A Heckemann; Alexander Hammers; Juan Carlos Lopez; Virginia F J Newcombe; Antonios Makropoulos; Jyrki Lötjönen; David K Menon; Daniel Rueckert
Journal:  Med Image Anal       Date:  2014-12-24       Impact factor: 8.545

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  3 in total

1.  Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images.

Authors:  Aaron Carass; Jennifer L Cuzzocreo; Shuo Han; Carlos R Hernandez-Castillo; Paul E Rasser; Melanie Ganz; Vincent Beliveau; Jose Dolz; Ismail Ben Ayed; Christian Desrosiers; Benjamin Thyreau; José E Romero; Pierrick Coupé; José V Manjón; Vladimir S Fonov; D Louis Collins; Sarah H Ying; Chiadi U Onyike; Deana Crocetti; Bennett A Landman; Stewart H Mostofsky; Paul M Thompson; Jerry L Prince
Journal:  Neuroimage       Date:  2018-08-09       Impact factor: 6.556

2.  Brain ventricle parcellation using a deep neural network: Application to patients with ventriculomegaly.

Authors:  Muhan Shao; Shuo Han; Aaron Carass; Xiang Li; Ari M Blitz; Jaehoon Shin; Jerry L Prince; Lotta M Ellingsen
Journal:  Neuroimage Clin       Date:  2019-05-24       Impact factor: 4.881

3.  A joint ventricle and WMH segmentation from MRI for evaluation of healthy and pathological changes in the aging brain.

Authors:  Hans E Atlason; Askell Love; Vidar Robertsson; Ari M Blitz; Sigurdur Sigurdsson; Vilmundur Gudnason; Lotta M Ellingsen
Journal:  PLoS One       Date:  2022-09-06       Impact factor: 3.752

  3 in total

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