Dynamic contrast enhanced magnetic resonance imaging in oncology: theory, data acquisition, analysis, and examples

TE Yankeelov, JC Gore - Current Medical Imaging, 2007 - ingentaconnect.com
Dynamic contrast enhanced MRI (DCE-MRI) enables the quantitative assessment of tumor
status and has found application in both pre-clinical tumor models as well as clinical …

[图书][B] Visual computing for medicine: theory, algorithms, and applications

B Preim, CP Botha - 2013 - books.google.com
Visual Computing for Medicine, Second Edition, offers cutting-edge visualization techniques
and their applications in medical diagnosis, education, and treatment. The book includes …

Model‐based and model‐free parametric analysis of breast dynamic‐contrast‐enhanced MRI

E Eyal, H Degani - … : An International Journal Devoted to the …, 2009 - Wiley Online Library
A wide range of dynamic‐contrast‐enhanced (DCE) sequences and protocols, image
processing methods, and interpretation criteria have been developed and evaluated over …

Breast tumor analysis in dynamic contrast enhanced MRI using texture features and wavelet transform

J Yao, J Chen, C Chow - IEEE Journal of selected topics in …, 2009 - ieeexplore.ieee.org
Dynamic contrast enhanced MRI (DCE-MRI) is an emerging imaging protocol in locating,
identifying and characterizing breast cancer. However, due to image artifacts in MR, pixel …

Malignant‐lesion segmentation using 4D co‐occurrence texture analysis applied to dynamic contrast‐enhanced magnetic resonance breast image data

BJ Woods, BD Clymer, T Kurc… - Journal of Magnetic …, 2007 - Wiley Online Library
Purpose To investigate the use of four‐dimensional (4D) co‐occurrence‐based texture
analysis to distinguish between nonmalignant and malignant tissues in dynamic contrast …

Automated chest wall line detection for whole‐breast segmentation in sagittal breast MR images

S Wu, SP Weinstein, EF Conant, MD Schnall… - Medical …, 2013 - Wiley Online Library
Purpose: Breast magnetic resonance imaging (MRI) plays an important role in the clinical
management of breast cancer. Computerized analysis is increasingly used to quantify breast …

Breast MR segmentation and lesion detection with cellular neural networks and 3D template matching

G Ertaş, HÖ Gülçür, O Osman, ON Uçan… - Computers in biology …, 2008 - Elsevier
A novel fully automated system is introduced to facilitate lesion detection in dynamic contrast-
enhanced, magnetic resonance mammography (DCE-MRM). The system extracts breast …

Interactive visual analysis of perfusion data

S Oeltze, H Doleisch, H Hauser… - IEEE transactions on …, 2007 - ieeexplore.ieee.org
Perfusion data are dynamic medical image data which characterize the regional blood flow
in human tissue. These data bear a great potential in medical diagnosis, since diseases can …

Automatic segmentation and classification of breast lesions through identification of informative multiparametric PET/MRI features

WD Vogl, K Pinker, TH Helbich, H Bickel… - European radiology …, 2019 - Springer
Background Multiparametric positron emission tomography/magnetic resonance imaging
(mpPET/MRI) shows clinical potential for detection and classification of breast lesions. Yet …

Heterogeneity in intratumoral regions with rapid gadolinium washout correlates with estrogen receptor status and nodal metastasis

B Chaudhury, M Zhou, DB Goldgof… - Journal of Magnetic …, 2015 - Wiley Online Library
Purpose To evaluate heterogeneity within tumor subregions or “habitats” via textural kinetic
analysis on breast dynamic contrast‐enhanced magnetic resonance imaging (DCE‐MRI) for …