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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

S. Agliozzo, M. De Luca, C. Bracco, A. Vignati, V. Giannini, L. Martincich, L. A. Carbonaro, A. Bert, F. Sardanelli, D. Regge
2012 Medical Physics (Lancaster)  
Purpose: Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is a radiological tool for the detection and discrimination of breast lesions.  ...  The aim of this study is to evaluate a computer-aided diagnosis (CAD) system for discriminating malignant from benign breast lesions at DCE-MRI by the combined use of morphological, kinetic, and spatiotemporal  ...  . 3, 4 Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) has evolved into an established clinical imaging modality for detection and diagnosis of breast lesions.  ... 
doi:10.1118/1.3691178 pmid:22482596 fatcat:nnftvxqmtbg4npudezuqssf7ia

Comparison of Multi-resolution Analysis Patterns for Texture Classification of Breast Tumors Based on DCE-MRI [chapter]

Alexia Tzalavra, Kalliopi Dalakleidi, Evangelia I. Zacharaki, Nikolaos Tsiaparas, Fotios Constantinidis, Nikos Paragios, Konstantina S. Nikita
2016 Lecture Notes in Computer Science  
assessed with respect to their ability to discriminate between malignant and benign breast tumors in Dynamic Contrast-Enhanced Magnetic Resonance Images (DCE-MRI).  ...  Although Fourier and Wavelet Transform have been widely used for texture classification methods in medical images, the discrimination performance of FDCT has not been investigated so far in respect to  ...  Dalakleidi was supported by a scholarship for Ph.D. studies from the Hellenic State Scholarships Foundation "IKY fellowships of excellence for postgraduate studies in Greece-Siemens Program".  ... 
doi:10.1007/978-3-319-47157-0_36 fatcat:k6jeyzgnjnbqhaj3chwfrgxfke

Automated analysis of non-mass-enhancing lesions in breast MRI based on morphological, kinetic, and spatio-temporal moments and joint segmentation-motion compensation technique

Sebastian Hoffmann, Jamie D Shutler, Marc Lobbes, Bernhard Burgeth, Anke Meyer-Bäse
2013 EURASIP Journal on Advances in Signal Processing  
Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) represents an established method for the detection and diagnosis of breast lesions.  ...  While mass-like enhancing lesions can be easily categorized according to the Breast Imaging Reporting and Data System (BI-RADS) MRI lexicon, a majority of diagnostically challenging lesions, the so called  ...  Contrast-enhanced magnetic resonance imaging (MRI) of the breast was reported to be a highly sensitive method for the detection of invasive breast cancer [1].  ... 
doi:10.1186/1687-6180-2013-172 fatcat:rhc5z7ejeraftcct3wixcip3jq

Classification of Breast Masses on Contrast-Enhanced Magnetic Resonance Images Through Log Detrended Fluctuation Cumulant-Based Multifractal Analysis

Filipe Soares, Filipe Janela, Manuela Pereira, Joao Seabra, Mario M. Freire
2014 IEEE Systems Journal  
by dynamic contrast enhanced magnetic resonance.  ...  with texture of the enhanced lesions.  ...  Dynamic Contrast Enhanced -Magnetic Resonance Imaging (DCE-MRI) techniques are based on the injection of a MRI contrast agent and acquisition of Manuscript T1-weighted images over time, which provides  ... 
doi:10.1109/jsyst.2013.2284101 fatcat:dijcy5tqa5d7zawbo44xllgewq

Pattern Recognition Approaches for Breast Cancer DCE-MRI Classification: A Systematic Review

Roberta Fusco, Mario Sansone, Salvatore Filice, Guglielmo Carone, Daniela Maria Amato, Carlo Sansone, Antonella Petrillo
2016 Journal of Medical and Biological Engineering  
We performed a systematic review of several pattern analysis approaches for classifying breast lesions using dynamic, morphological, and textural features in dynamic contrast-enhanced magnetic resonance  ...  The sensitivity and specificity are respectively 82 and 74 % for dynamic features, 93 and 60 % for morphological features, 88 and 81 % for textural features, 95 and 86 % for a combination of dynamic and  ...  The following search criteria were used: ''breast cancer'' and ''breast lesions'' for the clinical domain and ''DCE-MRI'', ''Dynamic Contrast Enhanced-MRI'', and ''Dynamic Contrast Enhanced-Magnetic Resonance  ... 
doi:10.1007/s40846-016-0163-7 pmid:27656117 pmcid:PMC5016558 fatcat:jqrg75i2ovhxfowbo42sody5y4

Model-based Region-of-interest Selection in Dynamic Breast MRI

Florence Forbes, Nathalie Peyrard, Chris Fraley, Dianne Georgian-Smith, David M. Goldhaber, Adrian E. Raftery
2006 Journal of computer assisted tomography  
Magnetic resonance imaging (MRI) is emerging as a powerful tool for the diagnosis of breast abnormalities.  ...  Key Words: image segmentation, region of interest selection, magnetic resonance imaging, MR mammography, dynamic contrast-enhanced breast MRI, time-signal intensity curves, model-based clustering, Bayesian  ...  The authors are grateful to Leon Kaufman, David Haynor, Doug Ortendahl and Brad Wyman for useful comments and discussions, and to Andrew Jianhua Li for providing the software for computing the 5-intensity  ... 
doi:10.1097/00004728-200607000-00020 pmid:16845302 fatcat:4u2slirtofdwdg5kfjacf6zbbe

Assessment of tumor morphology on diffusion-weighted (DWI) breast MRI: Diagnostic value of reduced field of view DWI

Maarten W. Barentsz, Valentina Taviani, Jung M. Chang, Debra M. Ikeda, Kanae K. Miyake, Suchandrima Banerjee, Maurice A.A.J van den Bosch, Brian A. Hargreaves, Bruce L. Daniel
2015 Journal of Magnetic Resonance Imaging  
view (rFOV) DWI technique and dynamic contrast enhanced MRI (3.0 T).  ...  PURPOSE-To compare the diagnostic value of conventional, bilateral diffusion-weighted imaging (DWI) and high-resolution targeted DWI of known breast lesions.  ...  INTRODUCTION Dynamic contrast-enhanced (DCE) Magnetic Resonance Imaging (MRI) is increasingly being used for the evaluation of suspicious breast lesions and has obtained an important role in clinical practice  ... 
doi:10.1002/jmri.24929 pmid:25914178 pmcid:PMC4619182 fatcat:f6qbxektirezbb5kzqw7ao5se4

A feasible high spatiotemporal resolution breast DCE-MRI protocol for clinical settings

Luminita A. Tudorica, Karen Y. Oh, Nicole Roy, Mark D. Kettler, Yiyi Chen, Stephanie L. Hemmingson, Aneela Afzal, John W. Grinstead, Gerhard Laub, Xin Li, Wei Huang
2012 Magnetic Resonance Imaging  
Three dimensional bilateral imaging is the standard for most clinical breast dynamic contrast-enhanced (DCE) MRI protocols.  ...  The TWIST sequence may be used in clinical settings to acquire high spatiotemporal resolution breast DCE-MRI images for both precise lesion morphology characterization and accurate pharmacokinetic analysis  ...  Acknowledgments The authors thank Mr. William Woodward for assistance in MRI data acquisition and Mr. Ian Tagge for initial help with pharmacokinetic analysis of the DCE-MRI data.  ... 
doi:10.1016/j.mri.2012.04.009 pmid:22770687 pmcid:PMC3466402 fatcat:56vg5oy4rjcsvhuw5dcjldpv7m

Current and Emerging Magnetic Resonance-Based Techniques for Breast Cancer

Apekshya Chhetri, Xin Li, Joseph V. Rispoli
2020 Frontiers in Medicine  
The preferred clinical procedure-dynamic contrast-enhanced MRI-illuminates the hypervascularity of breast tumors through a gadolinium-based contrast agent; however, accumulation of the potentially toxic  ...  Three such techniques are magnetic resonance spectroscopy, chemical exchange saturation transfer, and non-contrast diffusion weighted imaging.  ...  FUNDING The authors acknowledge support from the Purdue University Center for Cancer Research (NIH grant P30CA023168) and the Showalter Trust.  ... 
doi:10.3389/fmed.2020.00175 pmid:32478083 pmcid:PMC7235971 fatcat:c4nomtzogzbfxjwt3ivocfl3qm

Evaluation of a Nonrigid Motion Compensation Technique Based on Spatiotemporal Features for Small Lesion Detection in Breast MRI

F. Steinbruecker, A. Meyer-Baese, T. Schlossbauer, D. Cremers
2012 Advances in Artificial Neural Systems  
Motion-induced artifacts represent a major problem in detection and diagnosis of breast cancer in dynamic contrast-enhanced magnetic resonance imaging.  ...  In this paper, we compare the performance of each extracted feature set under consideration of several 2D or 3D motion compensation parameters for the differential diagnosis of enhancing lesions in breast  ...  Acknowledgments The research was supported by NIH Grant 5K25CA106799-04.  ... 
doi:10.1155/2012/808602 fatcat:mvgicxof2zcevg2ehlaj5oh6r4

Computer-aided diagnosis for diagnostically challenging breast lesions in DCE-MRI based on image registration and integration of morphologic and dynamic characteristics

Felix Retter, Claudia Plant, Bernhard Burgeth, Guillermo Botella, Thomas Schlossbauer, Anke Meyer-Bäse
2013 EURASIP Journal on Advances in Signal Processing  
Motion-based artifacts lead in dynamic contrast-enhanced breast magnetic resonance to diagnostic misinterpretation; therefore, motion compensation represents an important prerequisite to automatic lesion  ...  In the present paper, we evaluate the performance of a computer-aided diagnosis system consisting of motion correction, lesion segmentation, and feature extraction and classification.  ...  Acknowledgements This research was supported in part by the NIH grant 5K25CA106799-04. Author details  ... 
doi:10.1186/1687-6180-2013-157 fatcat:tmjq2gj4r5grfarfoanf23me4u

Textural Kinetics: A Novel Dynamic Contrast-Enhanced (DCE)-MRI Feature for Breast Lesion Classification

Shannon C. Agner, Salil Soman, Edward Libfeld, Margie McDonald, Kathleen Thomas, Sarah Englander, Mark A. Rosen, Deanna Chin, John Nosher, Anant Madabhushi
2010 Journal of digital imaging  
Dynamic contrast-enhanced (DCE)-magnetic resonance imaging (MRI) of the breast has emerged as an adjunct imaging tool to conventional X-ray mammography due to its high detection sensitivity.  ...  The novel contribution of this paper is in the definition of a new DCE-MRI descriptor that we call textural kinetics, which attempts to capture spatiotemporal changes in breast lesion texture in order  ...  Society for Imaging Informatics in Medicine (SIIM), the Cancer Institute of New Jersey, and the Life Science Commercialization Award from Rutgers University.  ... 
doi:10.1007/s10278-010-9298-1 pmid:20508965 pmcid:PMC3092055 fatcat:2cv3rztsivgixjwasp6bf7spvy

A Tetrahedron-Based Heat Flux Signature for Cortical Thickness Morphometry Analysis [chapter]

Yonghui Fan, Gang Wang, Natasha Lepore, Yalin Wang
2018 Lecture Notes in Computer Science  
492 Small Lesion Classication in Dynamic Contrast Enhancement MRI for Breast Cancer Early Detection 494 Uncertainty Estimation in Segmentation with Perfect MCMC Sampling in Bayesian MRFs 497 Training  ...  Diagnosis 758 The dynamic measurements of regional brain activity for resting-state fMRI: d-ALFF, d-fALFF and d-ReHo 765 Enhancing clinical MRI Perfusion maps with data-driven maps of complementary nature  ... 
doi:10.1007/978-3-030-00931-1_48 pmid:30338317 pmcid:PMC6191198 fatcat:dqhvpm5xzrdqhglrfftig3qejq

Tensor based multichannel reconstruction for breast tumours identification from DCE-MRIs

X. -X. Yin, S. Hadjiloucas, J. -H. Chen, Y. Zhang, J. -L. Wu, M. -Y. Su, Yuanquan Wang
2017 PLoS ONE  
contrast-enhanced magnetic resonance imaging (DCE-MRI) is proposed.  ...  Cartesian segmentation of dynamic contrast enhanced MR image regions acquired at different time frames used for feature extraction in the current study, after [33].  ...  This is so because the morphological pattern of a tumor in DCE-MRIs dynamically change due to the diffusion of the contrast-enhanced agent which modifies disproportionally the signal enhancement factor  ... 
doi:10.1371/journal.pone.0172111 pmid:28282379 pmcid:PMC5345763 fatcat:lotkg37xenaxrjg5jjwbotrxiu

Pattern identification of biomedical images with time series: Contrasting THz pulse imaging with DCE-MRIs

Xiao-Xia Yin, Sillas Hadjiloucas, Yanchun Zhang, Min-Ying Su, Yuan Miao, Derek Abbott
2016 Artificial Intelligence in Medicine  
from emergent imaging modalities such as terahertz (THz) pulse imaging (TPI) and dynamic contrast-enhanced magnetic resonance images (DCE-MRIs) and identification of their underlining commonalities.  ...  Support vector machine Extreme learning machine Multi-channel signal processing Tensor algebra Computer-aided diagnosis Terahertz pulse imaging Time domain spectroscopy Dynamic contrast-enhanced magnetic  ...  ) and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) modalities as both approaches are complementary in their ability to identify and assess disease proliferation.  ... 
doi:10.1016/j.artmed.2016.01.005 pmid:26951630 fatcat:usz7o4ejqbhbxntbu34zhg32iu
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