New partial volume estimation methods for MRI MP2RAGE

Quentin Duché, Parnesh Raniga, Gary F. Egan, Oscar Acosta, Giulio Gambarota, Olivier Salvado, Hervé Saint-Jalmes

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

4 Citations (Scopus)


Magnetic resonance imaging (MRI) is commonly used as a medical diagnosis tool, especially for brain applications. Some limitations affecting image quality include receive field (RF) inhomogeneity and partial volume (PV) effects which arise when a voxel contains two different tissues, introducing blurring. The novel Magnetization-Prepared 2 Rapid Acquisition Gradient Echoes (MP2RAGE) provides an image robust to RF inhomogeneity. However, PV effects are still an issue for automated brain quantification. PV estimation methods have been proposed based on computing the proportion of one tissue with respect to the other using linear interpolation of pure tissue intensity means. We demonstrated that this linear model introduces bias when used with MP2RAGE and we propose two novel solutions. The PV estimation methods were tested on 4 MP2RAGE data sets.

Original languageEnglish
Title of host publicationMedical Image Computing and Computer-Assisted Intervention, MICCAI 2014 - 17th International Conference, Proceedings
PublisherSpringer-Verlag London Ltd.
Number of pages8
Volume8675 LNCS
EditionPART 3
ISBN (Print)9783319104423
Publication statusPublished - 2014
EventMedical Image Computing and Computer-Assisted Intervention 2014 - Massachusetts Institute of Technology (MIT) and Harvard Medical School , Boston, United States of America
Duration: 14 Sept 201418 Sept 2014
Conference number: 17th (Proceedings)

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 3
Volume8675 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349


ConferenceMedical Image Computing and Computer-Assisted Intervention 2014
Abbreviated titleMICCAI 2014
Country/TerritoryUnited States of America
Internet address


  • Bi-exponential model
  • Partial Volume Estimation

Cite this