Literature DB >> 12494949

Estimation of the partial volume effect in MRI.

Miguel Angel González Ballester1, Andrew P Zisserman, Michael Brady.   

Abstract

The partial volume effect (PVE) arises in volumetric images when more than one tissue type occurs in a voxel. In such cases, the voxel intensity depends not only on the imaging sequence and tissue properties, but also on the proportions of each tissue type present in the voxel. We have demonstrated in previous work that ignoring this effect by establishing binary voxel-based segmentations introduces significant errors in quantitative measurements, such as estimations of the volumes of brain structures. In this paper, we provide a statistical estimation framework to quantify PVE and to propagate voxel-based estimates in order to compute global magnitudes, such as volume, with associated estimates of uncertainty. Validation is performed on ground truth synthetic images and MRI phantoms, and a clinical study is reported. Results show that the method allows for robust morphometric studies and provides resolution unattainable to date. Copyright 2002 Elsevier Science Ltd.

Mesh:

Year:  2002        PMID: 12494949     DOI: 10.1016/s1361-8415(02)00061-0

Source DB:  PubMed          Journal:  Med Image Anal        ISSN: 1361-8415            Impact factor:   8.545


  34 in total

1.  Generalized method for partial volume estimation and tissue segmentation in cerebral magnetic resonance images.

Authors:  April Khademi; Anastasios Venetsanopoulos; Alan R Moody
Journal:  J Med Imaging (Bellingham)       Date:  2014-04-23

2.  Adipose tissue in muscle: a novel depot similar in size to visceral adipose tissue.

Authors:  Dympna Gallagher; Patrick Kuznia; Stanley Heshka; Jeanine Albu; Steven B Heymsfield; Bret Goodpaster; Marjolein Visser; Tamara B Harris
Journal:  Am J Clin Nutr       Date:  2005-04       Impact factor: 7.045

3.  Brain tissue segmentation based on DTI data.

Authors:  Tianming Liu; Hai Li; Kelvin Wong; Ashley Tarokh; Lei Guo; Stephen T C Wong
Journal:  Neuroimage       Date:  2007-07-13       Impact factor: 6.556

4.  An open source multivariate framework for n-tissue segmentation with evaluation on public data.

Authors:  Brian B Avants; Nicholas J Tustison; Jue Wu; Philip A Cook; James C Gee
Journal:  Neuroinformatics       Date:  2011-12

Review 5.  Partial volume effect modeling for segmentation and tissue classification of brain magnetic resonance images: A review.

Authors:  Jussi Tohka
Journal:  World J Radiol       Date:  2014-11-28

6.  Development and Evaluation of a Semi-automated Segmentation Tool and a Modified Ellipsoid Formula for Volumetric Analysis of the Kidney in Non-contrast T2-Weighted MR Images.

Authors:  Hannes Seuss; Rolf Janka; Marcus Prümmer; Alexander Cavallaro; Rebecca Hammon; Ragnar Theis; Martin Sandmair; Kerstin Amann; Tobias Bäuerle; Michael Uder; Matthias Hammon
Journal:  J Digit Imaging       Date:  2017-04       Impact factor: 4.056

Review 7.  Toward the automatic quantification of in utero brain development in 3D structural MRI: A review.

Authors:  Oualid M Benkarim; Gerard Sanroma; Veronika A Zimmer; Emma Muñoz-Moreno; Nadine Hahner; Elisenda Eixarch; Oscar Camara; Miguel Angel González Ballester; Gemma Piella
Journal:  Hum Brain Mapp       Date:  2017-02-14       Impact factor: 5.038

8.  Automatic multi-resolution shape modeling of multi-organ structures.

Authors:  Juan J Cerrolaza; Mauricio Reyes; Ronald M Summers; Miguel Ángel González-Ballester; Marius George Linguraru
Journal:  Med Image Anal       Date:  2015-04-15       Impact factor: 8.545

9.  Volume reconstruction techniques improve the correlation between histological and in vivo tumor volume measurements in mouse models of human gliomas.

Authors:  Karl F Schmidt; Mateo Ziu; Nils Ole Schmidt; Pramil Vaghasia; Theresa G Cargioli; Sameer Doshi; Mitchell S Albert; Peter McL Black; Rona S Carroll; Yanping Sun
Journal:  J Neurooncol       Date:  2004-07       Impact factor: 4.130

10.  Reproducible MRI measurement of adipose tissue volumes in genetic and dietary rodent obesity models.

Authors:  David H Johnson; Chris A Flask; Paul R Ernsberger; Wilbur C K Wong; David L Wilson
Journal:  J Magn Reson Imaging       Date:  2008-10       Impact factor: 4.813

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