The multimodal brain tumor image segmentation benchmark (BRATS)
In this paper we report the set-up and results of the Multimodal Brain Tumor Image
Segmentation Benchmark (BRATS) organized in conjunction with the MICCAI 2012 and …
Segmentation Benchmark (BRATS) organized in conjunction with the MICCAI 2012 and …
A review of methods for correction of intensity inhomogeneity in MRI
U Vovk, F Pernus, B Likar - IEEE transactions on medical …, 2007 - ieeexplore.ieee.org
Medical image acquisition devices provide a vast amount of anatomical and functional
information, which facilitate and improve diagnosis and patient treatment, especially when …
information, which facilitate and improve diagnosis and patient treatment, especially when …
N4ITK: improved N3 bias correction
A variant of the popular nonparametric nonuniform intensity normalization (N3) algorithm is
proposed for bias field correction. Given the superb performance of N3 and its public …
proposed for bias field correction. Given the superb performance of N3 and its public …
MP2RAGE, a self bias-field corrected sequence for improved segmentation and T1-map** at high field
The large spatial inhomogeneity in transmit B1 field (B1+) observable in human MR images
at high static magnetic fields (B0) severely impairs image quality. To overcome this effect in …
at high static magnetic fields (B0) severely impairs image quality. To overcome this effect in …
Task group 284 report: magnetic resonance imaging simulation in radiotherapy: considerations for clinical implementation, optimization, and quality assurance
CK Glide‐Hurst, ES Paulson, K McGee… - Medical …, 2021 - Wiley Online Library
The use of dedicated magnetic resonance simulation (MR‐SIM) platforms in Radiation
Oncology has expanded rapidly, introducing new equipment and functionality with the …
Oncology has expanded rapidly, introducing new equipment and functionality with the …
A review on automatic fetal and neonatal brain MRI segmentation
In recent years, a variety of segmentation methods have been proposed for automatic
delineation of the fetal and neonatal brain MRI. These methods aim to define regions of …
delineation of the fetal and neonatal brain MRI. These methods aim to define regions of …
SynthMorph: learning contrast-invariant registration without acquired images
We introduce a strategy for learning image registration without acquired imaging data,
producing powerful networks agnostic to contrast introduced by magnetic resonance …
producing powerful networks agnostic to contrast introduced by magnetic resonance …
Whole brain myelin map** using T1-and T2-weighted MR imaging data
Despite recent advancements in MR imaging, non-invasive map** of myelin in the brain
still remains an open issue. Here we attempted to provide a potential solution. Specifically …
still remains an open issue. Here we attempted to provide a potential solution. Specifically …
Computational neuroanatomy of baby brains: A review
The first postnatal years are an exceptionally dynamic and critical period of structural,
functional and connectivity development of the human brain. The increasing availability of …
functional and connectivity development of the human brain. The increasing availability of …
T1 weighted brain images at 7 Tesla unbiased for Proton Density, T2⁎ contrast and RF coil receive B1 sensitivity with simultaneous vessel visualization
At high magnetic field, MR images exhibit large, undesirable signal intensity variations
commonly referred to as “intensity field bias”. Such inhomogeneities mostly originate from …
commonly referred to as “intensity field bias”. Such inhomogeneities mostly originate from …