Improved synthetic T1-weighted images for cerebral tissue segmentation in neurological diseases.

Improved synthetic T1-weighted images for cerebral tissue segmentation in neurological diseases.

Publication date: May 07, 2019

Structural cerebral MRI analysis in patients with neurological diseases usually requires T1-weighted datasets for tissue segmentation. For this purpose, synthetic T1-weighted images which are constructed from quantitative maps of the underlying tissue parameters such as the T1 relaxation time and the proton density (PD) may provide advantages over conventional datasets. However, in some cases synthetic images may suffer from specific artifacts, hampering accurate tissue segmentation. The goal was to improve a previously described method for the calculation of synthetic magnetization-prepared rapid gradient-echo (MP-RAGE) datasets from quantitative T1 and PD maps. Improvements comprise a B0-correction for the water-selective excitation pulses employed in T1-mapping and the use of T1-based pseudo-PD maps. Synthetic T1-weighted MP-RAGE datasets were calculated, using the standard and the improved algorithm, for 10 patients with focal epilepsy (caused by focal cortical dysplasia in 9), 10 patients with multiple sclerosis and 10 healthy control subjects and segmented with the Freesurfer toolbox. Visual inspection disclosed that segmentation of the standard synthetic datasets was inaccurate in 6 out of 10 patients with epilepsy, 7 out of 10 patients with multiple sclerosis and 7 out of 10 healthy control subjects, while the improved synthetic datasets resulted in adequate segmentation outcomes in the majority of cases. Only for one patient with multiple sclerosis and one with epilepsy, segmentation in basal temporal regions was not sufficient. Furthermore, data based on the standard algorithm showed strong signal non-uniformities in basal regions. This effect was not present in the improved synthetic datasets.

Gracien, R.M., van Wijnen, A., Maiworm, M., Petrov, F., Merkel, N., Paule, E., Steinmetz, H., Knake, S., Rosenow, F., Wagner, M., and Deichmann, R. Improved synthetic T1-weighted images for cerebral tissue segmentation in neurological diseases. 17978. 2019 Magn Reson Imaging.

Concepts Keywords
Algorithm MRI sequence
Basal MRI
Epilepsy Medicine
Gradient Physical sciences
Magnetization Multiple sclerosis
MP Fluid-attenuated inversion recovery
MRI Branches of biology
Multiple Sclerosis Neuroimaging
Neurological Diseases Cryogenics
Proton Focal cortical dysplasia
Image segmentation
Magnetic resonance imaging
Algorithm focal epilepsy
MRI neurological diseases
Focal cortical dysplasia


Type Source Name
disease DOID epilepsy
disease MESH epilepsy
disease MESH Visual
disease DOID multiple sclerosis
disease MESH multiple sclerosis
disease MESH cortical dysplasia
disease DOID focal epilepsy
disease MESH focal epilepsy
drug DRUGBANK Water
drug DRUGBANK Flunarizine

Original Article

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