Brain tumor synthetic segmentation in 3D multimodal MRI scans

M Hamghalam, B Lei, T Wang - … Sclerosis, Stroke and Traumatic Brain …, 2020 - Springer
… , we provide a 3D synthetic volume for the next stage, segmentation. … the synthetic segmentation
that translated FLAIR MR images into high-contrast synthetic MR ones for segmentation. …

[HTML][HTML] SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining

B Billot, DN Greve, O Puonti, A Thielscher… - Medical image …, 2023 - Elsevier
… Initial HR synthetic image After deforming the input segmentation, we generate an initial
synthetic scan G at HR by sampling a GMM conditioned on L (Fig. 3c). For convenience, we …

Whole brain segmentation and labeling from CT using synthetic MR images

C Zhao, A Carass, J Lee, Y He, JL Prince - Machine Learning in Medical …, 2017 - Springer
… contrast; very few segmentation methods have been reported to … This paper presents a
whole brain segmentation and … the synthetic MR image in a standard pipeline for whole brain

TuMore: generation of synthetic brain tumor MRI data for deep learning based segmentation approaches

L Lindner, B Pfarrkirchner, C Gsaxner… - Medical Imaging …, 2018 - spiedigitallibrary.org
… ) and four brain MRI images containing synthetic glioblastomas with … synthetic brain MRI
data. As can be seen by comparing the real MRI images in the upper row and the synthetic MRI

SyMRI of the brain: rapid quantification of relaxation rates and proton density, with synthetic MRI, automatic brain segmentation, and myelin measurement

A Hagiwara, M Warntjes, M Hori, C Andica… - Investigative …, 2017 - journals.lww.com
… the detectability of brain metastases using synthetic MRI after adjusting the contrast for each
patient. Because contrast-enhanced FLAIR can be created after quantitative MRI, SyMRI is …

Using a generative adversarial network to generate synthetic MRI images for multi-class automatic segmentation of brain tumors

P Raut, G Baldini, M Schöneck, L Caldeira - Frontiers in Radiology, 2024 - frontiersin.org
… -label automatic segmentation of brain tumors to synthetic images when … segmentation were
used. This dataset was used for training the Pix2PixNIfTI model for generating synthetic MRI

Comprehensive analysis of synthetic learning applied to neonatal brain MRI segmentation

R Valabregue, F Girka, A Pron… - Human Brain …, 2024 - Wiley Online Library
… in generating an MRI volume from the label set by sampling the intensity of the voxels of
each tissue from different Gaussian distributions, resulting in a synthetic MRI with a random …

Synthetic brain MRI: review of current concepts and future directions

FG Gonçalves, SD Serai, G Zuccoli - … in Magnetic Resonance …, 2018 - journals.lww.com
… Based on relaxometry maps, synthetic magnetic resonance imaging can also perform brain
tissue segmentation and myelin quantification without additional scan time. The quantitative …

Synthetic ground truth for validation of brain tumor MRI segmentation

M Prastawa, E Bullitt, G Gerig - International Conference on Medical Image …, 2005 - Springer
… include most of the challenges for segmentation. The synthetic MRI and the ground truth
allows for the validation of the segmentation of the whole brain, which includes white matter, …

Synthetic MRI: technologies and applications in neuroradiology

S Ji, D Yang, J Lee, SH Choi, H Kim… - … Magnetic Resonance …, 2022 - Wiley Online Library
… of synthetic MRI methods and their clinical applications in neuroradiology. Based on this
analysis, we highlight areas that need to be addressed for synthetic MRI … for brain segmentation, …