Data Driven Analysis Of Dynamic Contrast Enhanced Magnetic Resonance
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Data Driven Analysis Of Dynamic Contrast Enhanced Magnetic Resonance
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Author : Thorsten Twellmann
language : en
Publisher: VDM Publishing
Release Date : 2007-12
Data Driven Analysis Of Dynamic Contrast Enhanced Magnetic Resonance written by Thorsten Twellmann and has been published by VDM Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-12 with Medical categories.
Data Driven Analysis Of Dynamic Contrast Enhanced Magnetic Resonance Imaging Data In Breast Cancer Diagnosis
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Author : Thorsten Twellmann
language : en
Publisher:
Release Date : 2005
Data Driven Analysis Of Dynamic Contrast Enhanced Magnetic Resonance Imaging Data In Breast Cancer Diagnosis written by Thorsten Twellmann and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with categories.
The Analysis Of Dynamic Contrast Enhanced Magnetic Resonance Imaging Data
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Author : Andrew Brian Gill
language : en
Publisher:
Release Date : 2014
The Analysis Of Dynamic Contrast Enhanced Magnetic Resonance Imaging Data written by Andrew Brian Gill and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with categories.
Analysis Of Dynamic Contrast Enhanced Mri Datasets
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Author : Olga Kubassova
language : en
Publisher: LAP Lambert Academic Publishing
Release Date : 2010-06
Analysis Of Dynamic Contrast Enhanced Mri Datasets written by Olga Kubassova and has been published by LAP Lambert Academic Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-06 with categories.
This book gives an insight into algorithms used for analysis and interpretation Magnetic Resonance Imaging (MRI) and specifically dynamic contrast - enhanced MRI data. It discusses state of the art and cutting edge segmentation and patient motion correction methods, evaluation and analysis techniques and their application in research and clinical routine. The book presents a comprehensive solution for fully automated objective assessment of data acquired from patients with inflammatory conditions. We show how data can be interpreted using a novel model-based approach, which permits understanding of the behaviour of tissues undergoing the medical procedure, and allows for robust and accurate extraction of various parameters that quantify the extent of inflammation. The author and her colleagues took this scientific work further and developed a platform for analysis of MRI and dynamic MRI data DYNAMIKA, www.dynamika-ra.com, www.imageanalysis.org.uk which became a standard in processing data acquired from patients with inflammatory conditions such as rheumatoid arthritis and cancer.
Data Driven Analysis Methods In Pharmacological And Functional Magnetic Resonance Imaging
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Author :
language : en
Publisher:
Release Date : 2012
Data Driven Analysis Methods In Pharmacological And Functional Magnetic Resonance Imaging written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with categories.
Using Pattern Recognition Algorithms In Dynamic Contrast Enhanced Magnetic Resonance Imaging
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Author : Dipal Patel
language : en
Publisher:
Release Date : 2022
Using Pattern Recognition Algorithms In Dynamic Contrast Enhanced Magnetic Resonance Imaging written by Dipal Patel and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with categories.
"Soft-tissue sarcoma is a rare cancer that has high metastatic potential to the lung with poor prognosis at 3-year survival for patients that develop lung metastasis. As certain prognostic factors such as necrosis and poor perfusion due to abnormal blood supply may be targets for novel strategies, research in imaging techniques that can characterize the tumour microenvironment can allow for prediction of patient response to treatment. Dynamic Contrast-Enhanced (DCE) MRI is a functional imaging technique that can visualize perfusion in biological tissue by acquiring multiple images following the injection of a contrast agent through the cardiovascular system to analyze the contrast uptake within a given tissue. DCE-MRI has a complex 4-dimensional dataset consisting of thousands of pixels per image across multiple timepoints. DCE-MRI analysis tends to aim towards building semi-quantitative methods and model-based approaches to describe the kinetics of the contrast agent. However, the implementation of these techniques often requires a-priori information that puts constraints on the data. In this thesis, a data-driven technique to DCE-MRI analysis is proposed using non-negative matrix factorization (NMF), a dimensionality reduction technique that can isolate signal patterns in the data and provide visualization of the spatial distribution of these patterns. Using a DCE-MRI dataset consisting of sarcoma tumours over the course of radiotherapy, we show that the alternating non-negative least squares using block pivot principle (ANLS-BPP) NMF framework can find high and low signal enhancement curves in this data and generate weight maps for each perfusion curve that can be superimposed to visualize the heterogenous spatial distribution of high and low perfusion in these tumours. While these signal enhancement time-course patterns are consistent across patients and over the course of the radiotherapy, the weight maps across several timepoints carry the changes in perfusion distribution in response to radiotherapy over the course of treatment. However, these weight maps vary according to the random initialization of the NMF algorithm due to the non-uniqueness of the solutions to the algorithm as it tends to converge onto local minima. For this reason, we proposed a multi-NMF algorithm that performs an averaging of the weight maps produced by the algorithm using a distance minimization function with multiple tolerances to obtain the most representative weight map for each sarcoma tumour. This algorithm could reduce the variability in the weight maps produced by the NMF algorithm, thereby increasing the robustness of this technique to produce repeatable perfusion distributions in sarcoma tumours. These results have significant implications in the development of model-free approaches to DCE-MRI analysis as the ANLS-BPP NMF algorithm can find consistent signal enhancement patterns in the data and generate weight maps that can spatially visualize the perfusion distributions. Furthermore, the proposed multi-NMF algorithm can, in principle, be applied to any NMF algorithm to reduce the variability of the perfusion maps. Future work aims to test the ANLS-BPP algorithm on different types of solid tumours and investigate the ability for the proposed multi-NMF algorithm to improve the variation issues on other frameworks of the NMF algorithm"--
A Computerized Image Analysis Framework For Dynamic Contrast Enhanced Magnetic Resonance Imaging Dce Mri With Applications To Breast Cancer
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Author : Shannon Christine Agner
language : en
Publisher:
Release Date : 2011
A Computerized Image Analysis Framework For Dynamic Contrast Enhanced Magnetic Resonance Imaging Dce Mri With Applications To Breast Cancer written by Shannon Christine Agner and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Breast categories.
Dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) provides a wealth of information about the anatomy of the breast, particularly in the setting of breast cancer diagnosis. In addition to the images it provides regarding the architecture of breast tissue, it also provides functional information about blood flow by means of the DCE study. The sensitivity of DCE-MRI has been reported at close to 100%, so the difficult tasks for the radiologist in reviewing breast DCE-MRI are: (1) discerning between which lesions are benign and which are malignant; and (2) doing so for a patient study that involves hundreds of images and is 4-dimensional. Because of the great detail and volume of information DCE-MRI provides, computational methods for both extracting and analyzing information derived from the images are useful in distilling the entire patient study down to the most salient images and features for the radiologist to examine. In this dissertation, computer-based methods developed for analyzing the data acquired in a breast DCE-MRI patient study are described. In the first part, pre-processing methods used for aligning the images of the timedependent DCE study are explained. Because segmentation is important for describing the morphology of the lesion as well as the region of interest for any subsequent quantitative analysis of a lesion, as a second step to pre-processing, a spectral embedding based active contour (SEAC) method for segmentation of lesions is developed and tested. A feature developed for extracting the spatiotemporal characteristics of breast lesions, termed textural kinetics, is then described, and its utility is demonstrated for distinguishing benign from malignant lesions as well as in identifying triple negative breast lesions, a lesion type that is extremely aggressive and has no targeted therapies. Finally, these quantitative methods are summarized in a computer aided diagnosis framework that provides insight into the biologic nature of breast lesion subtypes as well as for directing treatment and determining prognosis.
Dynamic Contrast Enhanced Magnetic Resonance Imaging In Oncology
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Author : Alan Jackson
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-11-02
Dynamic Contrast Enhanced Magnetic Resonance Imaging In Oncology written by Alan Jackson and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-11-02 with Medical categories.
Dynamic contrast-enhanced MRI is now established as the methodology of choice for the assessment of tumor microcirculation in vivo. The method assists clinical practitioners in the management of patients with solid tumors and is finding prominence in the assessment of tumor treatments, including anti-angiogenics, chemotherapy, and radiotherapy. Here, leading authorities discuss the principles of the methods, their practical implementation, and their application to specific tumor types. The text is an invaluable single-volume reference that covers all the latest developments in contrast-enhanced oncological MRI.
Hypothesis Driven And Data Driven Approaches For Functional Magnetic Resonance Imaging Data Analysis
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Author : Nicola Vanello
language : en
Publisher:
Release Date : 2006
Hypothesis Driven And Data Driven Approaches For Functional Magnetic Resonance Imaging Data Analysis written by Nicola Vanello and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with categories.
Preclinical Mri Of The Kidney
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Author : Andreas Pohlmann
language : en
Publisher: Humana
Release Date : 2021-01-22
Preclinical Mri Of The Kidney written by Andreas Pohlmann and has been published by Humana this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-22 with Science categories.
This Open Access volume provides readers with an open access protocol collection and wide-ranging recommendations for preclinical renal MRI used in translational research. The chapters in this book are interdisciplinary in nature and bridge the gaps between physics, physiology, and medicine. They are designed to enhance training in renal MRI sciences and improve the reproducibility of renal imaging research. Chapters provide guidance for exploring, using and developing small animal renal MRI in your laboratory as a unique tool for advanced in vivo phenotyping, diagnostic imaging, and research into potential new therapies. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Cutting-edge and thorough, Preclinical MRI of the Kidney: Methods and Protocols is a valuable resource and will be of importance to anyone interested in the preclinical aspect of renal and cardiorenal diseases in the fields of physiology, nephrology, radiology, and cardiology. This publication is based upon work from COST Action PARENCHIMA, supported by European Cooperation in Science and Technology (COST). COST (www.cost.eu) is a funding agency for research and innovation networks. COST Actions help connect research initiatives across Europe and enable scientists to grow their ideas by sharing them with their peers. This boosts their research, career and innovation. PARENCHIMA (renalmri.org) is a community-driven Action in the COST program of the European Union, which unites more than 200 experts in renal MRI from 30 countries with the aim to improve the reproducibility and standardization of renal MRI biomarkers.