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A comparison of Bayesian and non-linear regression methods for robust estimation of pharmacokinetics in DCE-MRI and how it affects cancer diagnosis

Nikolaos Dikaios, David Atkinson, Chiara Tudisca, Pierpaolo Purpura, Martin Forster, Hashim Ahmed, Timothy Beale, Mark Emberton, Shonit Punwani
2017 Computerized Medical Imaging and Graphics  
Further it is investigated how a more robust estimation of tracer kinetics affects cancer diagnosis.  ...  The aim of this work is to compare Bayesian Inference for nonlinear models with commonly used traditional non-linear regression (NR) algorithms for estimating tracer kinetics in Dynamic Contrast Enhanced  ...  Acknowledgements This work was undertaken at the Centre for Vision, Speech and Signal Processing,  ... 
doi:10.1016/j.compmedimag.2017.01.003 pmid:28192761 fatcat:efdm4upsjfamfcrhn5hvcrhnmu

Direct parametric reconstruction from undersampled (k, t)-space data in dynamic contrast enhanced MRI

Nikolaos Dikaios, Simon Arridge, Valentin Hamy, Shonit Punwani, David Atkinson
2014 Medical Image Analysis  
To examine the impact on cancer diagnosis, a peripheral zone prostate cancer diagnostic model was employed to calculate a probability map for each method.  ...  In dynamic contrast enhanced (DCE) MRI these functional parameters are related to the microvasculature environment and the concentration changes that occur rapidly after the injection of a contrast agent  ...  This work was supported by UK EPSRC; Grant numbers: EP/I018700/1, EP/H046410/1 and the joint CR-UK & EPSRC funded King's College London and UCL Comprehensive Cancer Imaging Centre, in association with  ... 
doi:10.1016/j.media.2014.05.001 pmid:24972377 fatcat:gbwxmwm2yngthhq45dodzadxtm

Statistical comparison of dynamic contrast-enhanced MRI pharmacokinetic models in human breast cancer

Xia Li, E. Brian Welch, A. Bapsi Chakravarthy, Lei Xu, Lori R. Arlinghaus, Jaime Farley, Ingrid A. Mayer, Mark C. Kelley, Ingrid M. Meszoely, Julie Means-Powell, Vandana G. Abramson, Ana M. Grau (+2 others)
2011 Magnetic Resonance in Medicine  
Thus, these four metrics indicate that the FXL_v p and the FXR models provide the most complete statistical description of DCE-MRI time courses for the patients selected in this study.  ...  By fitting dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) data to an appropriate pharmacokinetic model, quantitative physiological parameters can be estimated.  ...  Acknowledgments We thank the National Institutes of Health for funding through NCI 1R01CA129961, NCI 1U01CA142565, and NCI 1P50 098131 and the Vanderbilt-Ingram Cancer Center Grant (NIH P30 CA68485).  ... 
doi:10.1002/mrm.23205 pmid:22127821 pmcid:PMC3291742 fatcat:htxkdwmt5bfpvji3jkx5o7zt7m

Comprehensive computer-aided diagnosis for breast T1-weighted DCE-MRI through quantitative dynamical features and spatio-temporal local binary patterns

Gabriele Piantadosi, Stefano Marrone, Roberta Fusco, Mario Sansone, Carlo Sansone
2018 IET Computer Vision  
Dynamic contrast enhanced-magnetic resonance imaging (DCE-MRI) is a valid complementary diagnostic method for early detection and diagnosis of breast cancer.  ...  State-of-the-art In this section, a systematic literature review is performed, focusing on the analysis of breast cancer through dynamic contrastenhanced magnetic resonance imaging (DCE-MRI).  ...  Methods The aim of this work is to propose BLADeS, a comprehensive fully automated CAD system for the automatic segmentation (detection) and classification (diagnosis) of breast lesions in DCE-MRI.  ... 
doi:10.1049/iet-cvi.2018.5273 fatcat:h2gvogcfczfabdl5z7d2weqdiu

Denoising of Dynamic Contrast-Enhanced MR Images Using Dynamic Nonlocal Means

Y. Gal, A.J.H. Mehnert, A.P. Bradley, K. McMahon, D. Kennedy, S. Crozier
2010 IEEE Transactions on Medical Imaging  
Logistic regression 2. Fisher's linear discriminant analysis 3. Linear Bayesian discriminant analysis 4.  ...  The comparison included the following models of contrast enhancement for DCE-MRI: the Tofts, Brix, and Hayton pharmacokinetic models, and a novel empiric model.  ...  The entropy thresholding was thus chosen to be used as a first stage segmentation of suspicious lesions in DCE-MRI of the breast, because it is robust to the distribution of intensities in the segmented  ... 
doi:10.1109/tmi.2009.2026575 pmid:19605318 fatcat:dwndibb4hjec5cqpwve2qjmjve

Artificial intelligence in cancer imaging: Clinical challenges and applications

Wenya Linda Bi, Ahmed Hosny, Matthew B. Schabath, Maryellen L. Giger, Nicolai J. Birkbak, Alireza Mehrtash, Tavis Allison, Omar Arnaout, Christopher Abbosh, Ian F. Dunn, Raymond H. Mak, Rulla M. Tamimi (+7 others)
2019 Ca  
Cancer offers a unique context for medical decisions given not only its variegated forms with evolution of disease but also the need to take into account the individual condition of patients, their ability  ...  Here, the authors review the current state of AI as applied to medical imaging of cancer and describe advances in 4 tumor types (lung, brain, breast, and prostate) to illustrate how common clinical problems  ...  Acknowledgments: We thank Ken Chang for generating the activation heatmaps in Figure 5 .  ... 
doi:10.3322/caac.21552 pmid:30720861 pmcid:PMC6403009 fatcat:czsiirkbm5f7fh2ueesgnqtlhi

Tumor Cell Load and Heterogeneity Estimation From Diffusion-Weighted MRI Calibrated With Histological Data: an Example From Lung Cancer

Yi Yin, Oliver Sedlaczek, Benedikt Muller, Arne Warth, Margarita Gonzalez-Vallinas, Bernd Lahrmann, Niels Grabe, Hans-Ulrich Kauczor, Kai Breuhahn, Irene E. Vignon-Clementel, Dirk Drasdo
2018 IEEE Transactions on Medical Imaging  
Diffusion-weighted magnetic resonance imaging (DWI) is a key non-invasive imaging technique for cancer diagnosis and tumor treatment assessment, reflecting Brownian movement of water molecules in tissues  ...  between the diffusion coefficient (D value) estimated from DWI and tumor cellularity from serial histological slides of a resected non-small cell lung cancer (NSCLC) tumor.  ...  ACKNOWLEDGMENT We thank Johannes Lotz and Janine Olesch for providing us with the registered images ( [38] ). We also thank the reviewers for their useful comments.  ... 
doi:10.1109/tmi.2017.2698525 pmid:28463188 fatcat:dspd2rifpvhlhgjsrpc6cuyxby

An overview of deep learning in medical imaging focusing on MRI

Alexander Selvikvåg Lundervold, Arvid Lundervold
2018 Zeitschrift für Medizinische Physik  
What has happened in machine learning lately, and what does it mean for the future of medical image analysis? Machine learning has witnessed a tremendous amount of attention over the last few years.  ...  As this has become a very broad and fast expanding field we will not survey the entire landscape of applications, but put particular focus on deep learning in MRI.  ...  Our work was financially supported by the Bergen Research Foundation through the project "Computational medical imaging and machine learning -methods, infrastructure and applications".  ... 
doi:10.1016/j.zemedi.2018.11.002 fatcat:kkimovnwcrhmth7mg6h6cpomjm

ESGAR 2018 Book of Abstracts

2018 Insights into Imaging  
SS 4.10 Comparison of gadobutrol and gadofosveset trisodium in MRI for rectal cancer R.A.P.  ...  Material and methods: 12 patients with primary rectal cancer were included. 6 patients underwent dynamic contrast-enhanced-MRI (DCE-MRI) with GDF and were matched with 6 patients who had DCE-MRI with GDB  ... 
doi:10.1007/s13244-018-0634-1 pmid:29845588 pmcid:PMC5974953 fatcat:6az3dgaqwzekpp6u7hl3dfsy4u

Imaging Regional Metabolic Changes in the Ischemic Rat Heart In Vivo Using Hyperpolarized [1- 13 C]Pyruvate

2017 Tomography  
Coregistration is enabled through a combination of comprehensive optical, PET, and microCT platforms, plus a unique portfolio of bioluminescent cell lines and fluorescent agents.  ...  Together, these technologies offer a more complete visual assessment and understanding of disease treatment and progression over time, along with improved outcomes and treatment efficacy.  ...  The funder provided support in the form of salaries for authors [MHL], but did not have any additional role in the study design, data collection and analysis, decision to publish, or preparation of the  ... 
doi:10.18383/j.tom.2017.00008 pmid:30042976 pmcid:PMC6024437 fatcat:ccwd7apcrfamraaxfcxzcrnvee

École de Physique des Houches [chapter]

2006 Les Houches  
Established in 1951, the Physics School is located in a group of chalets surrounded by meadows and woods, at an altitude of 1150 m facing the Mont-Blanc range -a very favourable environment for intellectual  ...  It rises 4,810.45 m above sea level and is ranked 11th in the world in topographic prominence. ecole de Physique des houches la côte des chavants 74310 les houches, france +33 (0)4 50 54 40 69  ...  Transport of molecules in the tumor interstitium: A Review. Cancer Res, 47:3039-3051 (1987). The authors would like to thank Dr. Naz Chaudary and Dr. Richard Hill for providing the tumor bearing mice.  ... 
doi:10.1016/s0924-8099(06)80084-3 fatcat:6w7diik2k5af7cpowh4xz3nsky

ÉCole De Physique Des Houches [chapter]

2007 Les Houches  
Established in 1951, the Physics School is located in a group of chalets surrounded by meadows and woods, at an altitude of 1150 m facing the Mont-Blanc range -a very favourable environment for intellectual  ...  It rises 4,810.45 m above sea level and is ranked 11th in the world in topographic prominence. ecole de Physique des houches la côte des chavants 74310 les houches, france +33 (0)4 50 54 40 69  ...  Transport of molecules in the tumor interstitium: A Review. Cancer Res, 47:3039-3051 (1987). The authors would like to thank Dr. Naz Chaudary and Dr. Richard Hill for providing the tumor bearing mice.  ... 
doi:10.1016/s0924-8099(13)60020-7 fatcat:jydcwidbbnf3nppqp4x3pyu6ga

École de Physique des Houches [chapter]

2008 Les Houches  
Established in 1951, the Physics School is located in a group of chalets surrounded by meadows and woods, at an altitude of 1150 m facing the Mont-Blanc range -a very favourable environment for intellectual  ...  It rises 4,810.45 m above sea level and is ranked 11th in the world in topographic prominence. ecole de Physique des houches la côte des chavants 74310 les houches, france +33 (0)4 50 54 40 69  ...  Transport of molecules in the tumor interstitium: A Review. Cancer Res, 47:3039-3051 (1987). The authors would like to thank Dr. Naz Chaudary and Dr. Richard Hill for providing the tumor bearing mice.  ... 
doi:10.1016/s0924-8099(13)60004-9 fatcat:nxiezedqabbbtnfqonvw6c3doi

A combined local and global motion estimation and compensation method for cardiac CT

Qiulin Tang, Beshan Chiang, Akinola Akinyemi, Alexander Zamyatin, Bibo Shi, Satoru Nakanishi, Bruce R. Whiting, Christoph Hoeschen
2014 Medical Imaging 2014: Physics of Medical Imaging  
In the proposed method, the non-local gradient is computed on the images restored by the optimized Bayesian non-local means (OBNLM) method and it is introduced into the total variation method to suppress  ...  In this work we hypothesise that diffusion weighted imaging data may help constrain the fitting of pharmacokinetic models to dynamic contrast enhanced (DCE) MRI data.  ...  This can be extended to classify the tissue as cancerous or non-cancerous and even predict the grade of the cancer.  ... 
doi:10.1117/12.2043492 fatcat:fyzpc5m6jbh7fjohqpdmtzkhte

Proceedings of the World Molecular Imaging Congress 2020, October 7-9, 2020: General Abstracts

2022 Molecular Imaging and Biology  
Methods: Tumor mice were imaged in vivo after systemic pan800 injection to assess its tumor-specific uptake macroscopically over 14 days, and microscopically ex vivo.  ...  Conclusion: Tumor specific uptake of pan800 provided remarkable contrast and a flexible imaging window for fluorescence-guided identification of HGGs despite modest EGFR expression.  ...  become more correlated (D7-D9), and finally show a decrease of MC due to formation of abnormal blood vessels (D10-D15).  ... 
doi:10.1007/s11307-021-01691-0 pmid:34982363 pmcid:PMC8725637 fatcat:ipn7hwekzzh6nbsk6dr2mzuhhm
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