Diffusion-weighted imaging in cancer: physical foundations and applications of restriction spectrum imaging
NS White, CR McDonald, N Farid, J Kuperman… - Cancer research, 2014 - AACR
Diffusion-weighted imaging (DWI) has been at the forefront of cancer imaging since the early
2000s. Before its application in clinical oncology, this powerful technique had already …
2000s. Before its application in clinical oncology, this powerful technique had already …
[HTML][HTML] The physical and biological basis of quantitative parameters derived from diffusion MRI
GP Winston - Quantitative imaging in medicine and surgery, 2012 - ncbi.nlm.nih.gov
Diffusion magnetic resonance imaging is a quantitative imaging technique that measures
the underlying molecular diffusion of protons. Diffusion-weighted imaging (DWI) quantifies …
the underlying molecular diffusion of protons. Diffusion-weighted imaging (DWI) quantifies …
Deep convolutional neural networks with transfer learning for automated brain image classification
MR brain image categorization has been an active research domain from the last decade.
Several techniques have been devised in the past for MR image categorization, starting from …
Several techniques have been devised in the past for MR image categorization, starting from …
Automated brain image classification based on VGG-16 and transfer learning
The last few decades have witnessed active research in the domain of pathological brain
image classification starting from classical to the deep learning approaches like …
image classification starting from classical to the deep learning approaches like …
Prediction of IDH1-mutation and 1p/19q-codeletion status using preoperative MR imaging phenotypes in lower grade gliomas
BACKGROUND AND PURPOSE: WHO grade II gliomas are divided into three classes:
isocitrate dehydrogenase (IDH)-wildtype, IDH-mutant and no 1p/19q codeletion, and IDH …
isocitrate dehydrogenase (IDH)-wildtype, IDH-mutant and no 1p/19q codeletion, and IDH …
Differentiation between glioblastomas, solitary brain metastases, and primary cerebral lymphomas using diffusion tensor and dynamic susceptibility contrast …
S Wang, S Kim, S Chawla, RL Wolf… - American Journal …, 2011 - Am Soc Neuroradiology
BACKGROUND AND PURPOSE: Glioblastomas, brain metastases, and PCLs may have
similar enhancement patterns on MR imaging, making the differential diagnosis difficult or …
similar enhancement patterns on MR imaging, making the differential diagnosis difficult or …
Differentiating tumor progression from pseudoprogression in patients with glioblastomas using diffusion tensor imaging and dynamic susceptibility contrast MRI
S Wang, M Martinez-Lage, Y Sakai… - American Journal …, 2016 - Am Soc Neuroradiology
BACKGROUND AND PURPOSE: Early assessment of treatment response is critical in
patients with glioblastomas. A combination of DTI and DSC perfusion imaging parameters …
patients with glioblastomas. A combination of DTI and DSC perfusion imaging parameters …
Glioma detection based on multi-fractal features of segmented brain MRI by particle swarm optimization techniques
S Lahmiri - Biomedical Signal Processing and Control, 2017 - Elsevier
We seek to compare three automated diagnosis systems to detect glioma in brain magnetic
resonance images (MRIs). Each glioma diagnosis system is composed of four steps. First, a …
resonance images (MRIs). Each glioma diagnosis system is composed of four steps. First, a …
[HTML][HTML] Differentiation of glioblastoma multiforme from metastatic brain tumor using proton magnetic resonance spectroscopy, diffusion and perfusion metrics at 3 T
Purpose: To assess the contribution of 1 H-magnetic resonance spectroscopy (1 H-MRS),
diffusion-weighted imaging (DWI), diffusion tensor imaging (DTI) and dynamic susceptibility …
diffusion-weighted imaging (DWI), diffusion tensor imaging (DTI) and dynamic susceptibility …
Advanced imaging techniques for differentiating pseudoprogression and tumor recurrence after immunotherapy for glioblastoma
Y Li, Y Ma, Z Wu, R Xie, F Zeng, H Cai, S Lui… - Frontiers in …, 2021 - frontiersin.org
Glioblastoma (GBM) is the most common malignant tumor of the central nervous system with
poor prognosis. Although the field of immunotherapy in glioma is developing rapidly …
poor prognosis. Although the field of immunotherapy in glioma is developing rapidly …