Literature DB >> 19520539

Relaxo-volumetric multispectral quantitative magnetic resonance imaging of the brain over the human lifespan: global and regional aging patterns.

Naoko Saito1, Osamu Sakai, Al Ozonoff, Hernán Jara.   

Abstract

The objective of this study was to determine the T1, T2 and secular-T2 relaxo-volumetric brain aging patterns using multispectral quantitative magnetic resonance imaging, both globally and regionally, and covering an age range approaching the full human lifespan. Fifty-one subjects (28 males, 23 females; age range: 0.5-87 years) were studied consisting of 18 healthy volunteers and 33 patients. Patients were selected after carefully reviewing their radiology reports to have either normal-by-MRI findings (25 patient subjects) or small focal pathology less than 6 mm in size (eight patient subjects). All subjects were MR imaged at 1.5 T with the mixed turbo spin echo pulse sequence. The soft tissues inside the cranial vault, termed intracranial matter (ICM), were segmented using a dual-clustering segmentation algorithm. ICM segments were further divided into six subsegments: bilateral anterior cerebral, posterior cerebral and cerebellar subsegments. T1, T2 and secular-T2 relaxation time histograms of all segments were generated and modeled with Gaussian functions. For each segment, the volumes of white matter, gray matter and cerebrospinal fluid were calculated from the T1 histograms. The age-related tendencies of three quantitative MRI parameters (T1, T2 and secular-T2) and the fractional tissue volumes showed four distinct periods of life, specifically a maturation period (0-2 years), a development period (2-20 years), an adulthood period (20-60 years) and a senescence period (60 years and older). For all ages, the anterior cerebral subsegment exhibited consistently longer gray matter T1s and shorter white matter T1s than the posterior cerebral and cerebellar subsegments. Volumetric age-related changes of the cerebellar subsegment were more gradual than in the cerebral subsegments. This study shows that relaxometric and volumetric age-related changes are synchronized and define the same four periods of brain evolution both globally and regionally.

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Year:  2009        PMID: 19520539     DOI: 10.1016/j.mri.2009.05.006

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  32 in total

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4.  MR relaxometry for the facial ageing assessment: the preliminary study of the age dependency in the MR relaxometry parameters within the facial soft tissue.

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5.  Quantitative MRI using STrategically Acquired Gradient Echo (STAGE): optimization for 1.5 T scanners and T1 relaxation map validation.

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6.  Evolution of white matter tract microstructure across the life span.

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Review 7.  Quantitative relaxometry of the brain.

Authors:  Sean C L Deoni
Journal:  Top Magn Reson Imaging       Date:  2010-04

8.  Evaluation of brain ageing: a quantitative longitudinal MRI study over 7 years.

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9.  In vivo dentate nucleus MRI relaxometry correlates with previous administration of Gadolinium-based contrast agents.

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Journal:  Eur Radiol       Date:  2016-02-23       Impact factor: 5.315

10.  Assessment of disease severity in late infantile neuronal ceroid lipofuscinosis using multiparametric MR imaging.

Authors:  J P Dyke; D Sondhi; H U Voss; D C Shungu; X Mao; K Yohay; S Worgall; N R Hackett; C Hollmann; M E Yeotsas; A L Jeong; B Van de Graaf; I Cao; S M Kaminsky; L A Heier; K D Rudser; M M Souweidane; M G Kaplitt; B Kosofsky; R G Crystal; D Ballon
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