Relaxation times estimation in MRI

Fabio Baselice, Rocchina Caivano, Aldo Cammarota, Giampaolo Ferraioli, Vito Pascazio

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Magnetic Resonance Imaging is a very powerful techniques for soft tissue diagnosis. At the present, the clinical evaluation is mainly conducted exploiting the amplitude of the recorded MR image which, in some specific cases, is modified by using contrast enhancements. Nevertheless, spin-lattice (T1) and spin-spin (T2) relaxation times can play an important role in many pathology diagnosis, such as cancer, Alzheimer or Parkinson diseases. Different algorithms for relaxation time estimation have been proposed in literature. In particular, the two most adopted approaches are based on Least Squares (LS) and on Maximum Likelihood (ML) techniques. As the amplitude noise is not zero mean, the first one produces a biased estimator, while the ML is unbiased but at the cost of high computational effort. Recently the attention has been focused on the estimation in the complex, instead of the amplitude, domain. The advantage of working with real and imaginary decomposition of the available data is mainly the possibility of achieving higher quality estimations. Moreover, the zero mean complex noise makes the Least Square estimation unbiased, achieving low computational times. First results of complex domain relaxation times estimation on real datasets are presented. In particular, a patient with an occipital lesion has been imaged on a 3.0T scanner. Globally, the evaluation of relaxation times allow us to establish a more precise topography of biologically active foci, also with respect to contrast enhanced images.

Original languageEnglish
Title of host publicationProgress in Biomedical Optics and Imaging - Proceedings of SPIE
PublisherSPIE
Volume9033
ISBN (Print)9780819498267
DOIs
Publication statusPublished - 2014
EventMedical Imaging 2014: Physics of Medical Imaging - San Diego, CA, United States
Duration: Feb 17 2014Feb 20 2014

Other

OtherMedical Imaging 2014: Physics of Medical Imaging
CountryUnited States
CitySan Diego, CA
Period2/17/142/20/14

Keywords

  • Magnetic Resonance Imaging
  • Relaxation Times Estimation
  • Statistical Estimation

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Radiology Nuclear Medicine and imaging

Fingerprint Dive into the research topics of 'Relaxation times estimation in MRI'. Together they form a unique fingerprint.

  • Cite this

    Baselice, F., Caivano, R., Cammarota, A., Ferraioli, G., & Pascazio, V. (2014). Relaxation times estimation in MRI. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE (Vol. 9033). [90332K] SPIE. https://doi.org/10.1117/12.2043029