Literature DB >> 15950102

Techniques for diffusion-weighted imaging of bone marrow.

J G Raya1, O Dietrich, M F Reiser, A Baur-Melnyk.   

Abstract

Diffusion-weighted magnetic resonance imaging (DWI) is an imaging technique which is sensitive to random water movements in spatial scales far below those typically accessible by magnetic resonance imaging (MRI). This property makes DWI a powerful tool for diagnosis of diseases which involve alterations in water mobility, such as acute stroke. In bone marrow, DWI has been proven to be a highly useful method for the differential diagnosis of benign and malignant compression fractures. Unfortunately, the application of DWI sequences to the bone marrow frequently suffers from artifacts, which in some cases seriously restrict the diagnostic utility of the image. This requires the introduction of additional correction techniques, or even the development of new sequences. Thus, the selection of an adequate imaging technique for DWI of the bone marrow is a very important issue. In this article the most important sequences for DWI of the bone marrow are reviewed. Special attention is paid to the problems associated with these sequences, as well as their possible solutions.

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Year:  2005        PMID: 15950102     DOI: 10.1016/j.ejrad.2005.01.014

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  13 in total

1.  High signal in bone marrow at diffusion-weighted imaging with body background suppression (DWIBS) in healthy children.

Authors:  Lil-Sofie Ording Müller; Derk Avenarius; Oystein E Olsen
Journal:  Pediatr Radiol       Date:  2010-07-23

Review 2.  Whole-body MR imaging, bone diffusion imaging: how and why?

Authors:  Diego Jaramillo
Journal:  Pediatr Radiol       Date:  2010-04-30

3.  Proton density fat fraction (PDFF) MRI for differentiation of benign and malignant vertebral lesions.

Authors:  Frederic Carsten Schmeel; Julian Alexander Luetkens; Peter Johannes Wagenhäuser; Michael Meier-Schroers; Daniel Lloyd Kuetting; Andreas Feißt; Jürgen Gieseke; Leonard Christopher Schmeel; Frank Träber; Hans Heinz Schild; Guido Matthias Kukuk
Journal:  Eur Radiol       Date:  2018-01-08       Impact factor: 5.315

Review 4.  Diffusion-weighted and diffusion tensor imaging for pediatric musculoskeletal disorders.

Authors:  John D MacKenzie; Leonardo Gonzalez; Andrea Hernandez; Kai Ruppert; Diego Jaramillo
Journal:  Pediatr Radiol       Date:  2007-06-28

5.  Diffusion-weighted MRI reveals epiphyseal and metaphyseal abnormalities in Legg-Calvé-Perthes disease: a pilot study.

Authors:  Won Joon Yoo; Young-Jo Kim; Nina M Menezes; Jung-Eun Cheon; Diego Jaramillo
Journal:  Clin Orthop Relat Res       Date:  2011-06-10       Impact factor: 4.176

6.  Signal characteristics of focal bone marrow lesions in patients with multiple myeloma using whole body T1w-TSE, T2w-STIR and diffusion-weighted imaging with background suppression.

Authors:  Gregor Sommer; Markus Klarhöfer; Claudia Lenz; Klaus Scheffler; Georg Bongartz; Leopold Winter
Journal:  Eur Radiol       Date:  2010-09-19       Impact factor: 5.315

7.  Feasibility of a RARE-based sequence for quantitative diffusion-weighted MRI of the spine.

Authors:  J G Raya; O Dietrich; C Birkenmaier; J Sommer; M F Reiser; A Baur-Melnyk
Journal:  Eur Radiol       Date:  2007-03-14       Impact factor: 5.315

8.  Improved detection of skull metastasis with diffusion-weighted MR imaging.

Authors:  A J Nemeth; J W Henson; M E Mullins; R G Gonzalez; P W Schaefer
Journal:  AJNR Am J Neuroradiol       Date:  2007 Jun-Jul       Impact factor: 3.825

9.  Optimization of b value in diffusion-weighted MRI for the differential diagnosis of benign and malignant vertebral fractures.

Authors:  Guangyu Tang; Yong Liu; Wei Li; Jiping Yao; Baoping Li; Peng Li
Journal:  Skeletal Radiol       Date:  2007-09-01       Impact factor: 2.199

10.  Diffusion-weighted MR imaging for characterizing musculoskeletal lesions.

Authors:  Ty K Subhawong; Michael A Jacobs; Laura M Fayad
Journal:  Radiographics       Date:  2014 Sep-Oct       Impact factor: 5.333

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