Literature DB >> 33534619

Rapid Musculoskeletal MRI in 2021: Value and Optimized Use of Widely Accessible Techniques.

Filippo Del Grande1, Roman Guggenberger2, Jan Fritz3.   

Abstract

OBJECTIVE. The purpose of this article is to provide a practice-focused review of accelerating musculoskeletal MRI with the use of widely accessible techniques and to assess the effects of such acceleration on the value of musculoskeletal MRI. CONCLUSION. Echo-train compaction with fast radiofrequency pulses, high gradient performance modes, and high receiver bandwidth, as well as basic phase undersampling techniques, affords at least twofold acceleration of musculoskeletal MRI examinations while retaining image quality, comprehensiveness, and diagnostic performance. Optimized efficiency is a cornerstone for adding value to musculoskeletal MRI.

Keywords:  MRI; acceleration; accessible; fast MRI; gradients

Year:  2021        PMID: 33534619     DOI: 10.2214/AJR.20.22901

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  4 in total

1.  Evaluation of the Aggregated Time Savings in Adopting Fast Brain MRI Techniques for Outpatient Brain MRI.

Authors:  Min Lang; Samuel Cartmell; Azadeh Tabari; Daniel Briggs; Oleg Pianykh; John Kirsch; Stephen Cauley; Wei-Ching Lo; Seretha Risacher; Augusto Goncalves Filho; Marc D Succi; Otto Rapalino; Pamela Schaefer; John Conklin; Susie Y Huang
Journal:  Acad Radiol       Date:  2021-10-08       Impact factor: 3.173

Review 2.  MRI-guided sacroiliac joint injections in children and adults: current practice and future developments.

Authors:  Danoob Dalili; Amanda Isaac; Jan Fritz
Journal:  Skeletal Radiol       Date:  2022-08-25       Impact factor: 2.128

3.  New-Generation Low-Field Magnetic Resonance Imaging of Hip Arthroplasty Implants Using Slice Encoding for Metal Artifact Correction: First In Vitro Experience at 0.55 T and Comparison With 1.5 T.

Authors:  Iman Khodarahmi; Inge M Brinkmann; Dana J Lin; Mary Bruno; Patricia M Johnson; Florian Knoll; Mahesh B Keerthivasan; Hersh Chandarana; Jan Fritz
Journal:  Invest Radiol       Date:  2022-03-04       Impact factor: 10.065

Review 4.  Artificial intelligence for MRI diagnosis of joints: a scoping review of the current state-of-the-art of deep learning-based approaches.

Authors:  Benjamin Fritz; Jan Fritz
Journal:  Skeletal Radiol       Date:  2021-09-01       Impact factor: 2.199

  4 in total

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