A comparison of fitting algorithms for diffusion-weighted MRI data analysis using an intravoxel incoherent motion model

Roberta Fusco, Mario Sansone, Antonella Petrillo

Research output: Contribution to journalArticlepeer-review

Abstract

OBJECT: The objective of this study is to propose a modified VARiable PROjection (VARPRO) algorithm specifically tailored for fitting the intravoxel incoherent motion (IVIM) model to diffusion-weighted magnetic resonance imaging (DW-MRI) data from locally advanced rectal cancer (LARC).

MATERIALS AND METHODS: The proposed algorithm is compared with classical non-linear least squares (NLLS) analysis using the Levenberg-Marquardt (LM) algorithm and with two recently proposed algorithms for 'segmented' analysis. These latter two comprise two consecutive steps: first, a subset of parameters is estimated using a portion of data; second, the remaining parameters are estimated using the whole data and the previous estimates. The comparison between the algorithms was based on the [Formula: see text] goodness-of-fit measure: performance analysis was carried out on real data obtained by DW-MRI on 40 LARC patients.

RESULTS: The performance of the proposed algorithm was higher than that of LM in 64 % of cases; 'segmented' methods were poorer than our algorithm in 100 % of cases.

CONCLUSION: The proposed modified VARPRO algorithm can lead to better fit of the IVIM model to LARC DW-MRI data compared to other techniques.

Original languageEnglish
Pages (from-to)113-120
Number of pages8
JournalMagnetic Resonance Materials in Physics, Biology, and Medicine
Volume30
Issue number2
DOIs
Publication statusPublished - Apr 2017

Keywords

  • Adult
  • Aged
  • Algorithms
  • Diffusion Magnetic Resonance Imaging
  • Humans
  • Image Processing, Computer-Assisted
  • Least-Squares Analysis
  • Middle Aged
  • Models, Theoretical
  • Motion
  • Rectal Neoplasms
  • Reproducibility of Results
  • Comparative Study
  • Journal Article

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