Quantitative MRI measurements of human fetal brain development in utero

Grossman, Rachel; Hoffman, Chen; Mardor, Yael; Biegon, Anat

doi:10.1016/j.neuroimage.2006.07.005

Cited by 74 publications

(58 citation statements)

References 19 publications

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“…Retrospective analysis of fetal MR imaging posterior fossa measurements in cases that were proved to be normal were statistically close to control group by using 2-tailed t test; the measurements matched also those of normal fetuses at corresponding GAs in fetal biometry. [26][27][28] By comparing the mean and ratios of posterior fossa measurements in the different groups, those of the JSRD-affected group were higher than those in JSRD-nonaffected fetuses and the control group. The mean AP diameter of the cisterna magna measured 9.3 mm (SD 1.5) compared with 7 mm (SD 2.2) in nonaffected cases and 6 mm (SD 1.1) in the control group.…”

Section: Resultsmentioning

confidence: 97%

“…We correlated the measurements with those of normal fetuses at the same GA available in fetal biometry. [26][27][28] We compared MR imaging measurements obtained in fetuses at risk for JSRD with those of 24 age-matched fetuses (average, 22.2 weeks; SD 3.3; range, 18 -30; median, 21.5) with normal in utero brain MR imaging studies that were confirmed by normal detailed postnatal clinical and neurologic examination at an average age of 15.5 months (SD 5.3) and normal postnatal MR imaging done at an average age of 4.1 months (SD 2.3). Cases for the control group were selected from a large pool of participants in our study of MR imaging for at-risk pregnancies for brain anomalies.…”

Section: Outcome Measuresmentioning

confidence: 99%

See 1 more Smart Citation

Role of MR Imaging in Prenatal Diagnosis of Pregnancies at Risk for Joubert Syndrome and Related Cerebellar Disorders

Saleem¹,

Zaki²

2009

AJNR Am J Neuroradiol

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Section: Resultsmentioning

confidence: 97%

Section: Outcome Measuresmentioning

confidence: 99%

Role of MR Imaging in Prenatal Diagnosis of Pregnancies at Risk for Joubert Syndrome and Related Cerebellar Disorders

Saleem¹,

Zaki²

2009

AJNR Am J Neuroradiol

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“…Another numerical experiment was performed by adding independent Gaussian noise with increasing STD to the synthesized motion corrupted neonatal dataset to create data sets with SNR 11, 8.3 and 6.7 corresponding to SNR values for slice thicknesses of 3.3mm, 2.5mm and 2mm respectively at typical 1.5T performance. These data were then reconstructed by SVR and compared to the original data [7]. Finally mot ion corrupted fetal, neonatal and adult data sets were each recons tructed by SVR using a final lattice control po int spacing of 0.5L (L = slice spacing in the scanner frame).…”

Section: Snr Testmentioning

confidence: 99%

MRI of the Brain in Moving Subjects Application to Fetal, Neonatal and Adult Brain

Narendran¹,

Kumar²,

Somasundaram³

2012

IJITCS

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Abstract-Imaging in the presence of subject motion has been an ongoing challenge for magnetic resonance imaging (MRI). In this paper some o f the important issues regarding the acquisition and reconstruction of anatomical and DTI imag ing of moving subjects are addressed; methods to achieve high resolution and high Signal to Noise Rat io (SNR) volu me data. Excellent fetal brain 3D Apparent Diffusion Coefficient maps in high resolution have been achieved for the first time as well as pro mising Fractional Anisotropy maps. Growth curves for the normally developing fetal brain have been devised by the quantificat ion of cerebral and cerebellar volu mes as well as someone dimensional measurements. A Verhulst model is to describe these growth curves, and this approach has achieved a correlation over 0.99 between the fitted model and actual data.

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“…The technical difficulties in assessing the brain size and structures increase as the pregnancy progresses with time due to skull ossification (18). Unlike US, magnetic resonance imaging (MRI) enables precise analysis of embryonic brain biometry, and there are different normograms for both skull and cerebral MRI measurements (18,(22)(23)(24)(25)(26).…”

Section: Introductionmentioning

confidence: 99%

Discrepancy in fetal head biometry between ultrasound and MRI in suspected microcephalic fetuses

et al. 2017

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Background: Microcephaly is one of the most common fetal structural abnormalities, and prenatal microcephaly is considered a group I malformation of cortical development diagnosed according to ultrasound (US) skull measurements. Purpose: To evaluate the agreement between fetal head US and magnetic resonance imaging (MRI) biometric measurements of suspected microcephalic fetuses. Material and Methods: This institutional review board-approved retrospective study with waived informed consent included 180 pregnant women and was conducted at our medical center from March 2011 to April 2013. Biparietal diameter (BPD) and occipitofrontal diameter (OFD) results of fetal head US normograms were compared to normograms for MRI. We used Pearson and Spearman rho non-parametric correlation coefficients to assess the association between two quantitative variables, paired t-test for paired quantitative variables, and McNemar test for paired qualitative variables. Results: The average BPD but not the average OFD percentiles in fetal head US differed significantly from the MRI results (P < 0.0001). When looking at the accepted microcephaly threshold, both BPD and OFD percentiles differed significantly from MRI (P < 0.0001 and P < 0.004, respectively). There was no correlation between US-measured skull biometry and MRI-measured brain biometry. Estimated cerebrospinal fluid volumes were significantly lower in the study group compared to 120 fetuses with normal findings in prenatal head US and MRI. Also, we have created a MRI-based normogram of fetal head circumference and gestational age.

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Quantitative MRI measurements of human fetal brain development in utero

Cited by 74 publications

References 19 publications

Role of MR Imaging in Prenatal Diagnosis of Pregnancies at Risk for Joubert Syndrome and Related Cerebellar Disorders

Role of MR Imaging in Prenatal Diagnosis of Pregnancies at Risk for Joubert Syndrome and Related Cerebellar Disorders

MRI of the Brain in Moving Subjects Application to Fetal, Neonatal and Adult Brain

Discrepancy in fetal head biometry between ultrasound and MRI in suspected microcephalic fetuses

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