Literature DB >> 19238471

Long-term reproducibility of phantom signal intensities in nonuniformity corrected STIR-MRI examinations of skeletal muscle.

Alain R Viddeleer1, Paul E Sijens, Peter M A van Ooijen, Paul D L Kuypers, Steven E R Hovius, Matthijs Oudkerk.   

Abstract

OBJECT: Nerve regeneration could be monitored by comparing MRI image intensities in time, as denervated muscles display increased signal intensity in STIR sequences. In this study long-term reproducibility of STIR image intensity was assessed under clinical conditions and the required image intensity nonuniformity correction was improved by using phantom scans obtained at multiple positions.
METHODS: Three-dimensional image intensity nonuniformity was investigated in phantom scans. Next, over a three-year period, 190 clinical STIR hand scans were obtained using a standardized acquisition protocol, and corrected for intensity nonuniformity by using the results of phantom scanning. The results of correction with 1, 3, and 11 phantom scans were compared. The image intensities in calibration tubes close to the hands were measured every time to determine the reproducibility of our method.
RESULTS: With calibration, the reproducibility of STIR image intensity improved from 7.8 to 6.4%. Image intensity nonuniformity correction with 11 phantom scans gave significantly better results than correction with 1 or 3 scans.
CONCLUSIONS: The image intensities in clinical STIR images acquired at different times can be compared directly, provided that the acquisition protocol is standardized and that nonuniformity correction is applied. Nonuniformity correction is preferably based on multiple phantom scans.

Mesh:

Year:  2009        PMID: 19238471     DOI: 10.1007/s10334-009-0165-3

Source DB:  PubMed          Journal:  MAGMA        ISSN: 0968-5243            Impact factor:   2.310


  32 in total

1.  A simple method to improve image nonuniformity of brain MR images at the edges of a head coil.

Authors:  F B Mohamed; S Vinitski; S H Faro; H V Ortega; S Enochs
Journal:  J Comput Assist Tomogr       Date:  1999 Nov-Dec       Impact factor: 1.826

Review 2.  Effects of temperature on neuromuscular electrophysiology.

Authors:  S B Rutkove
Journal:  Muscle Nerve       Date:  2001-07       Impact factor: 3.217

Review 3.  The physiological and metabolic consequences of muscle denervation.

Authors:  S P Frostick
Journal:  Int Angiol       Date:  1995-09       Impact factor: 2.789

4.  Correction for intensity falloff in surface coil magnetic resonance imaging.

Authors:  W W Brey; P A Narayana
Journal:  Med Phys       Date:  1988 Mar-Apr       Impact factor: 4.071

Review 5.  Peripheral nerve injuries. Nerve sutures and nerve grafting.

Authors:  H Millesi
Journal:  Scand J Plast Reconstr Surg Suppl       Date:  1982

6.  A decline in glial cell-line-derived neurotrophic factor expression is associated with impaired regeneration after long-term Schwann cell denervation.

Authors:  A Höke; T Gordon; D W Zochodne; O A R Sulaiman
Journal:  Exp Neurol       Date:  2002-01       Impact factor: 5.330

7.  Visualization of denervated muscle by gadolinium-enhanced MRI.

Authors:  M Bendszus; M Koltzenburg
Journal:  Neurology       Date:  2001-11-13       Impact factor: 9.910

8.  Denervated human skeletal muscle: MR imaging evaluation.

Authors:  J L Fleckenstein; D Watumull; K E Conner; M Ezaki; R G Greenlee; W W Bryan; D P Chason; R W Parkey; R M Peshock; P D Purdy
Journal:  Radiology       Date:  1993-04       Impact factor: 11.105

9.  Magnetic resonance imaging signal changes in denervated muscles after peripheral nerve injury.

Authors:  G A West; D R Haynor; R Goodkin; J S Tsuruda; A D Bronstein; G Kraft; T Winter; M Kliot
Journal:  Neurosurgery       Date:  1994-12       Impact factor: 4.654

10.  Information effect on the perception of pain during electromyography.

Authors:  J K Richardson; J E Evans; J H Warner
Journal:  Arch Phys Med Rehabil       Date:  1994-06       Impact factor: 3.966

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