Literature DB >> 25431640

Partial volume effect modeling for segmentation and tissue classification of brain magnetic resonance images: A review.

Jussi Tohka1.   

Abstract

Quantitative analysis of magnetic resonance (MR) brain images are facilitated by the development of automated segmentation algorithms. A single image voxel may contain of several types of tissues due to the finite spatial resolution of the imaging device. This phenomenon, termed partial volume effect (PVE), complicates the segmentation process, and, due to the complexity of human brain anatomy, the PVE is an important factor for accurate brain structure quantification. Partial volume estimation refers to a generalized segmentation task where the amount of each tissue type within each voxel is solved. This review aims to provide a systematic, tutorial-like overview and categorization of methods for partial volume estimation in brain MRI. The review concentrates on the statistically based approaches for partial volume estimation and also explains differences to other, similar image segmentation approaches.

Entities:  

Keywords:  Brain imaging; Gray matter; Image analysis; Image processing; Magnetic resonance imaging; Segmentation; Tissue classification; White matter

Year:  2014        PMID: 25431640      PMCID: PMC4241492          DOI: 10.4329/wjr.v6.i11.855

Source DB:  PubMed          Journal:  World J Radiol        ISSN: 1949-8470


  64 in total

1.  MR image-based measurement of rates of change in volumes of brain structures. Part I: method and validation.

Authors:  Deming Wang; David M Doddrell
Journal:  Magn Reson Imaging       Date:  2002-01       Impact factor: 2.546

2.  A segmentation-based and partial-volume-compensated method for an accurate measurement of lateral ventricular volumes on T(1)-weighted magnetic resonance images.

Authors:  D Wang; D M Doddrell
Journal:  Magn Reson Imaging       Date:  2001-02       Impact factor: 2.546

3.  A unifying framework for partial volume segmentation of brain MR images.

Authors:  Koen Van Leemput; Frederik Maes; Dirk Vandermeulen; Paul Suetens
Journal:  IEEE Trans Med Imaging       Date:  2003-01       Impact factor: 10.048

4.  Fast and robust parameter estimation for statistical partial volume models in brain MRI.

Authors:  Jussi Tohka; Alex Zijdenbos; Alan Evans
Journal:  Neuroimage       Date:  2004-09       Impact factor: 6.556

5.  Improved estimates of partial volume coefficients from noisy brain MRI using spatial context.

Authors:  José V Manjón; Jussi Tohka; Montserrat Robles
Journal:  Neuroimage       Date:  2010-06-25       Impact factor: 6.556

6.  Automated segmentation of multiple sclerosis lesion subtypes with multichannel MRI.

Authors:  Ying Wu; Simon K Warfield; I Leng Tan; William M Wells; Dominik S Meier; Ronald A van Schijndel; Frederik Barkhof; Charles R G Guttmann
Journal:  Neuroimage       Date:  2006-06-22       Impact factor: 6.556

7.  Partial volume tissue classification of multichannel magnetic resonance images-a mixel model.

Authors:  H S Choi; D R Haynor; Y Kim
Journal:  IEEE Trans Med Imaging       Date:  1991       Impact factor: 10.048

8.  Automated segmentation and classification of multispectral magnetic resonance images of brain using artificial neural networks.

Authors:  W E Reddick; J O Glass; E N Cook; T D Elkin; R J Deaton
Journal:  IEEE Trans Med Imaging       Date:  1997-12       Impact factor: 10.048

9.  Automatic segmentation and reconstruction of the cortex from neonatal MRI.

Authors:  Hui Xue; Latha Srinivasan; Shuzhou Jiang; Mary Rutherford; A David Edwards; Daniel Rueckert; Joseph V Hajnal
Journal:  Neuroimage       Date:  2007-08-07       Impact factor: 6.556

10.  Voxel-based cortical thickness measurements in MRI.

Authors:  Chloe Hutton; Enrico De Vita; John Ashburner; Ralf Deichmann; Robert Turner
Journal:  Neuroimage       Date:  2008-02-01       Impact factor: 6.556

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  17 in total

1.  Age- and memory- related differences in hippocampal gray matter integrity are better captured by NODDI compared to single-tensor diffusion imaging.

Authors:  Anu Venkatesh; Shauna M Stark; Craig E L Stark; Ilana J Bennett
Journal:  Neurobiol Aging       Date:  2020-08-12       Impact factor: 4.673

2.  Ventricular Volume Is More Strongly Associated with Clinical Improvement Than the Evans Index after Shunting in Idiopathic Normal Pressure Hydrocephalus.

Authors:  J Neikter; S Agerskov; P Hellström; M Tullberg; G Starck; D Ziegelitz; D Farahmand
Journal:  AJNR Am J Neuroradiol       Date:  2020-06-11       Impact factor: 3.825

Review 3.  Magnetic resonance fingerprinting review part 2: Technique and directions.

Authors:  Debra F McGivney; Rasim Boyacıoğlu; Yun Jiang; Megan E Poorman; Nicole Seiberlich; Vikas Gulani; Kathryn E Keenan; Mark A Griswold; Dan Ma
Journal:  J Magn Reson Imaging       Date:  2019-07-25       Impact factor: 4.813

4.  Diffusion-weighted imaging as an imaging biomarker for assessing survival of patients with intrahepatic mass-forming cholangiocarcinoma.

Authors:  Julaluck Promsorn; Kulyada Eurboonyanun; Payia Chadbunchachai; Chaiwat Apivatanasiri; Kosin Wirasorn; Jarin Chindaprasirt; Aumkhae Sookprasert; Mukesh Harisinghani
Journal:  Abdom Radiol (NY)       Date:  2022-06-15

5.  Bayesian estimation of multicomponent relaxation parameters in magnetic resonance fingerprinting.

Authors:  Debra McGivney; Anagha Deshmane; Yun Jiang; Dan Ma; Chaitra Badve; Andrew Sloan; Vikas Gulani; Mark Griswold
Journal:  Magn Reson Med       Date:  2017-11-20       Impact factor: 4.668

6.  Association between Quantitative MR Markers of Cortical Evolving Organization and Gene Expression during Human Prenatal Brain Development.

Authors:  Lana Vasung; Chenying Zhao; Matthew Barkovich; Caitlin K Rollins; Jennings Zhang; Claude Lepage; Teddy Corcoran; Clemente Velasco-Annis; Hyuk Jin Yun; Kiho Im; Simon Keith Warfield; Alan Charles Evans; Hao Huang; Ali Gholipour; Patricia Ellen Grant
Journal:  Cereb Cortex       Date:  2021-07-05       Impact factor: 5.357

7.  Blood correction reduces variability and gender differences in native myocardial T1 values at 1.5 T cardiovascular magnetic resonance - a derivation/validation approach.

Authors:  Jannike Nickander; Magnus Lundin; Goran Abdula; Peder Sörensson; Stefania Rosmini; James C Moon; Peter Kellman; Andreas Sigfridsson; Martin Ugander
Journal:  J Cardiovasc Magn Reson       Date:  2017-04-05       Impact factor: 5.364

8.  Recommendations for the Use of Automated Gray Matter Segmentation Tools: Evidence from Huntington's Disease.

Authors:  Eileanoir B Johnson; Sarah Gregory; Hans J Johnson; Alexandra Durr; Blair R Leavitt; Raymund A Roos; Geraint Rees; Sarah J Tabrizi; Rachael I Scahill
Journal:  Front Neurol       Date:  2017-10-10       Impact factor: 4.003

9.  Associations between long-term psychosis risk, probabilistic category learning, and attenuated psychotic symptoms with cortical surface morphometry.

Authors:  Jessica P Y Hua; Nicole R Karcher; Kelsey T Straub; John G Kerns
Journal:  Brain Imaging Behav       Date:  2021-07-04       Impact factor: 3.978

10.  A Survey of White Matter Neurons at the Gyral Crowns and Sulcal Depths in the Rhesus Monkey.

Authors:  Farzad Mortazavi; Samantha E Romano; Douglas L Rosene; Kathleen S Rockland
Journal:  Front Neuroanat       Date:  2017-08-15       Impact factor: 3.856

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