Magnetic resonance elastography: evaluation of new inversion algorithm and quantitative analysis method

Annelise M. Silva, Roger C. Grimm, Kevin J. Glaser, Yinlin Fu, Teresa Wu, Richard L. Ehman, Alvin C. Silva

Research output: Contribution to journalArticlepeer-review

34 Scopus citations


Purpose: To assess mean shear hepatic stiffness calculations using various region of interest (ROI) techniques, a new inversion algorithm, and a confidence threshold mask. Methods: Seventy-three patients (49 with abnormal liver function tests/known chronic liver disease and 24 healthy liver transplant donors) underwent liver biopsy and magnetic resonance elastography (MRE). MRE data processed with the current inversion algorithm [multiscale direct inversion (MSDI)] was assessed using 2 ROI methods (single vs. triple). The data were then reprocessed using the new inversion algorithm (multimodel direct inversion [MMDI]) Hepatic stiffness calculations were performed using a single (70%) ROI method, with/without a 95% confidence threshold mask, and compared with MSDI. Results: For MSDI, average stiffness difference between single and triple ROI methods was not statistically significant by the 2-sample t test [0.15 kilopascals (kPa); P = .77]. For the 2 algorithms, there was little difference in average stiffness measurements of MSDI and MMDI (mean, 0.32 kPa; 9%) using a confidence mask with good agreement [intraclass correlation coefficient (ICC), 0.986 (95% CI 0.975–0.994)]. Use of the confidence mask showed excellent consistency and less variance [ICC, 0.995 (95% CI 0.993–0.998)] compared to either the inter-observer or intra-observer freehand technique. Conclusion: MRE analysis showed no significant difference between the 2 freehand ROI techniques. With a 9% average kPa variance, stiffness measurements for MSDI and MMDI were also not significantly different. The use of the confidence mask reduces calculated stiffness variability, which impacts the use of MRE for assessing therapy response and initial/longitudinal assessment of chronic liver disease.

Original languageEnglish (US)
Pages (from-to)810-817
Number of pages8
JournalAbdominal Imaging
Issue number4
StatePublished - Apr 1 2015


  • Cirrhosis
  • Liver donor
  • Liver elastography
  • Magnetic resonance elastography
  • Magnetic resonance imaging

ASJC Scopus subject areas

  • Gastroenterology
  • Urology
  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging


Dive into the research topics of 'Magnetic resonance elastography: evaluation of new inversion algorithm and quantitative analysis method'. Together they form a unique fingerprint.

Cite this