Brain tumor segmentation based on hybrid clustering and morphological operations

C Zhang, X Shen, H Cheng… - International journal of …, 2019 - Wiley Online Library
Inference of tumor and edema areas from brain magnetic resonance imaging (MRI) data
remains challenging owing to the complex structure of brain tumors, blurred boundaries, and …

[HTML][HTML] Overview of multi-modal brain tumor mr image segmentation

W Zhang, Y Wu, B Yang, S Hu, L Wu, S Dhelim - Healthcare, 2021 - mdpi.com
The precise segmentation of brain tumor images is a vital step towards accurate diagnosis
and effective treatment of brain tumors. Magnetic Resonance Imaging (MRI) can generate …

Brain tumor-enhancement visualization and morphometric assessment: a comparison of MPRAGE, SPACE, and VIBE MRI techniques

L Danieli, GC Riccitelli, D Distefano… - American Journal …, 2019 - Am Soc Neuroradiology
BACKGROUND AND PURPOSE: Postgadolinium MR imaging is crucial for brain tumor
diagnosis and morphometric assessment. We compared brain tumor enhancement …

Data-driven grading of brain gliomas: a multiparametric MR imaging study

M Caulo, V Panara, D Tortora, PA Mattei, C Briganti… - Radiology, 2014 - pubs.rsna.org
Purpose To grade brain gliomas by using a data-driven analysis of multiparametric magnetic
resonance (MR) imaging, taking into account the heterogeneity of the lesions at MR …

[图书][B] Imaging of brain tumors with histological correlations

A Drevelegas - 2002 - Springer
This volume provides a deeper understanding of the diagnosis of brain tumors by correlating
radiographic imaging features with the underlying pathological abnormalities. All modern …

[HTML][HTML] Modern brain tumor imaging

MC Mabray, RF Barajas, S Cha - Brain tumor research and …, 2015 - synapse.koreamed.org
The imaging and clinical management of patients with brain tumor continue to evolve over
time and now heavily rely on physiologic imaging in addition to high-resolution structural …

Conventional MRI evaluation of gliomas

N Upadhyay, AD Waldman - The British journal of radiology, 2011 - academic.oup.com
MRI using T 1 weighted, T2 weighted and gadolinium-enhanced sequences plays a central
clinical role in diagnosis, characterisation, surveillance and therapeutic monitoring of …

Analysis of volume MRI and MR spectroscopic imaging data for the evaluation of patients with brain tumors

SJ Nelson - Magnetic Resonance in Medicine: An Official …, 2001 - Wiley Online Library
The combination of volumetric MRI and multivoxel localized MR spectroscopic imaging
(MRSI) data provides the potential for quantifying variations in tissue morphology and …

Magnetic resonance imaging-based radiomic profiles predict patient prognosis in newly diagnosed glioblastoma before therapy

SD McGarry, SL Hurrell, AL Kaczmarowski, EJ Cochran… - Tomography, 2016 - mdpi.com
Magnetic resonance imaging (MRI) is used to diagnose and monitor brain tumors. Extracting
additional information from medical imaging and relating it to a clinical variable of interest is …

A distinctive approach in brain tumor detection and classification using MRI

J Amin, M Sharif, M Yasmin, SL Fernandes - Pattern Recognition Letters, 2020 - Elsevier
A very exigent task for radiologists is early brain tumor detection. Brain tumor raises very
fast, its average size doubles in just twenty-five days. If not treated properly, the survival rate …