Implications of MR contrast standardization on image computing

Srinivasan Rajagopalan, Richard A. Robb

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

Abstract

The process of transforming the non-linear magnetic field perturbations induced by radiowaves into linear reconstructions based on Radon and Fourier transforms has resulted in MR acquisitions in which intensities do not have a fixed meaning, not even within the same protocol, for the same body region, for images obtained on the same scanner, for the same patient, on the same day. This makes robust image interpretation and processing extremely challenging. The status quo of fine tuning an image processing algorithm with the ever-varying MRI intensity space could best be summarized as a "random search through the parameter space". This work demonstrates the implications of standardizing the contrast across multiple tissue types on the robustness and efficiency of image processing algorithms. Contrast standardization is performed using a prior-knowledge driven feature-guided, fast, non-linear equalization technique. Without loss of generality, skull stripping and brain tissue segmentation are considered in this investigation. Results show that the iterative image processing algorithms converge faster with minimal parameter tweaking and the abstractions are significantly better in the contrast standardized space than in the native stochastic space.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2006
Subtitle of host publicationImage Processing
DOIs
StatePublished - Jun 22 2006
EventMedical Imaging 2006: Image Processing - San Diego, CA, United States
Duration: Feb 13 2006Feb 16 2006

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume6144 III
ISSN (Print)1605-7422

Other

OtherMedical Imaging 2006: Image Processing
CountryUnited States
CitySan Diego, CA
Period2/13/062/16/06

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Keywords

  • Intensity standardization
  • Magnetic Resonance Imaging
  • Prior-information
  • Skull stripping
  • Tissue contrast

ASJC Scopus subject areas

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

Cite this

Rajagopalan, S., & Robb, R. A. (2006). Implications of MR contrast standardization on image computing. In Medical Imaging 2006: Image Processing [61446L] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 6144 III). https://doi.org/10.1117/12.653959