Quantification of physiological and hemodynamic indices using T1 dynamic contrast-enhanced MRI in intracranial mass lesions

Anup Singh, Mohammad Haris, Divya Rathore, Ankur Purwar, Manoj Sarma, Getaneh Bayu, Nuzhat Husain, Ram K. Singh Rathore, Rakesh K. Gupta

Research output: Contribution to journalArticle

62 Citations (Scopus)

Abstract

Purpose: To estimate precontrast tissue parameter (T10) using fast spin echo (FSE) and to quantify physiological and hemodynamic parameters with leakage correction using T1-weighted dynamic contrast-enhanced (DCE) perfusion imaging. Materials and Methods: Voxel-wise T10 computation was performed followed by the analysis of T1-weighted DCE perfusion data for the conversion of signal intensity time curve to concentration time curve, estimation of hemodynamic and physiological perfusion indices, and a method for leakage correction. Validations of accuracy of the computations have also been carried out. Results: The computed T10 and hemodynamic perfusion indices in normal white and gray matter were in good agreement with the literature values. Physiological perfusion indices in these regions were found negligible, validating computations. Cerebral blood volume (CBV) values change negligibly over the length of concentration time curve in white matter, gray matter, and lesion (CBVcorrected), while CBV uncorrected (lesion) shows linear increase over time. Conclusion: T1-weighted DCE perfusion data along with FSE-based T1 estimation can be used for an accurate estimation of hemodynamic and physiological perfusion indices.

Original languageEnglish
Pages (from-to)871-880
Number of pages10
JournalJournal of Magnetic Resonance Imaging
Volume26
Issue number4
DOIs
Publication statusPublished - Oct 2007
Externally publishedYes

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Keywords

  • Concentration time curve
  • DCE-MRI
  • Leakage volume
  • Perfusion indices
  • Permeability
  • Signal intensity time curve

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Radiological and Ultrasound Technology

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