Computer-aided diagnosis for dynamic contrast-enhanced breast MRI of mass-like lesions using a multiparametric model combining a selection of morphological, kinetic, and spatiotemporal features

2012 ◽  
Vol 39 (4) ◽  
pp. 1704-1715 ◽  
Author(s):  
S. Agliozzo ◽  
M. De Luca ◽  
C. Bracco ◽  
A. Vignati ◽  
V. Giannini ◽  
...  
Keyword(s):  
Breast Mri ◽  
Computer Aided Diagnosis ◽  
Spatiotemporal Features ◽  
Dynamic Contrast Enhanced ◽  
Model Combining ◽  
Contrast Enhanced ◽  
Computer Aided ◽  
Aided Diagnosis ◽  
Selection Of

scholarly journals Selection of Spatiotemporal Features in Breast MRI to Differentiate between Malignant and Benign Small Lesions Using Computer-Aided Diagnosis

2012 ◽  
Vol 2012 ◽  
pp. 1-8
Author(s):  
F. Steinbruecker ◽  
A. Meyer-Baese ◽  
C. Plant ◽  
T. Schlossbauer ◽  
U. Meyer-Baese
Keyword(s):  
Breast Mri ◽  
Computer Aided Diagnosis ◽  
Spatiotemporal Features ◽  
Computer Aided ◽  
Dynamical Features ◽  
Detection And Diagnosis ◽  
Analysis System ◽  
Global And Local ◽  
Aided Diagnosis ◽  
Optimal Feature

Automated detection and diagnosis of small lesions in breast MRI represents a challenge for the traditional computer-aided diagnosis (CAD) systems. The goal of the present research was to compare and determine the optimal feature sets describing the morphology and the enhancement kinetic features for a set of small lesions and to determine their diagnostic performance. For each of the small lesions, we extracted morphological and dynamical features describing both global and local shape, and kinetics behavior. In this paper, we compare the performance of each extracted feature set for the differential diagnosis of enhancing lesions in breast MRI. Based on several simulation results, we determined the optimal feature number and tested different classification techniques. The results suggest that the computerized analysis system based on spatiotemporal features has the potential to increase the diagnostic accuracy of MRI mammography for small lesions and can be used as a basis for computer-aided diagnosis of breast cancer with MR mammography.

Reproducibility of Dynamic Contrast-enhanced MR Imaging. Part I. Perfusion Characteristics in the Female Pelvis by Using Multiple Computer-aided Diagnosis Perfusion Analysis Solutions

Radiology ◽  
2013 ◽  
Vol 266 (3) ◽  
pp. 801-811 ◽  
Author(s):  
Tobias Heye ◽  
Matthew S. Davenport ◽  
Jeffrey J. Horvath ◽  
Sebastian Feuerlein ◽  
Steven R. Breault ◽  
...  
Keyword(s):  
Mr Imaging ◽  
Computer Aided Diagnosis ◽  
Female Pelvis ◽  
Dynamic Contrast Enhanced ◽  
Contrast Enhanced ◽  
Computer Aided ◽  
Aided Diagnosis
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