Описание: This book contains the full papers presented at the MICCAI 2014 workshop on Computational Methods and Clinical Applications for Spine Imaging. The workshop brought together scientists and clinicians in the field of computational spine imaging. The chapters included in this book present and discuss the new advances and challenges in these fields, using several methods and techniques in order to address more efficiently different and timely applications involving signal and image acquisition, image processing and analysis, image segmentation, image registration and fusion, computer simulation, image based modeling, simulation and surgical planning, image guided robot assisted surgical and image based diagnosis.
The book also includes papers and reports from the first challenge on vertebra segmentation held at the workshop.
Автор: Tsai Jeffrey J P & Ng Ka-Lok Название: Computational Methods With Applications In Bioinformatics Analysis ISBN: 9813207973 ISBN-13(EAN): 9789813207974 Издательство: World Scientific Publishing Рейтинг: Цена: 13622.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This compendium contains 10 chapters written by world renowned researchers with expertise in semantic computing, genome sequence analysis, biomolecular interaction, time-series microarray analysis, and machine learning algorithms.
The salient feature of this book is that it highlights eight types of computational techniques to tackle different biomedical applications. These techniques include unsupervised learning algorithms, principal component analysis, fuzzy integral, graph-based ensemble clustering method, semantic analysis, interolog approach, molecular simulations and enzyme kinetics.
The unique volume will be a useful reference material and an inspirational read for advanced undergraduate and graduate students, computer scientists, computational biologists, bioinformatics and biomedical professionals.
Описание: Preface.- Structural shear stress evaluation of triple periodic minimal surfaces, by H.A. Almeida, P.J. Bбrtolo.- On the numerical microstructural modeling of vascular tissues, by Estefania Peсa.- What exists in the scientific literature about biomechanical models in pelvic floor? - A systematic review, by Renato Andrade, Rui Viana, Sara Viana, Thuane da Roza, Teresa Mascarenhas, Renato Natal Jorge.- The impairment of female pelvic ligaments and its relation to pelvic floor dysfunction: biomechanical analysis, by Sofia Brandгo, Marco Parente, Ana Rita Silva, Thuane Da Roza, Teresa Mascarenhas, Isabel Ramos, Renato Natal Jorge.- Pelvic floor muscles behavior in practitioners of high and low impact sports, by Thuane Da Roza, Sofia Brandгo, Teresa Mascarenhas, Josй Alberto Duarte, Renato Natal Jorge.- Effects of a pelvic floor muscle training in nulliparous athletes with urinary incontinence: biomechanical models protocol, by M Sousa, R Viana, S Viana, T Da Roza, R Azevedo, M Araъjo, C Festas, T Mascarenhas, R Natal Jorge.- Biomechanical study of the cervical spine, by Tatiana Teixeira, Luнsa Costa Sousa, Renato Natal Jorge, Marco Parente, Joгo Maia Gonзalves, Rolando Freitas.- Injury simulation of anterior cruciate ligament using isogeometric analysis, by J.P.S. Ferreira, M.P.L. Parente, R.M. Natal Jorge.- Influence of flexing load position on the loading of cruciate ligaments at the knee - A graphics-based analysis, by A. Imran.- Modelling and simulation in orthopedic biomechanics - applications and limitations, by A. Imran.- One-dimensional modelling of the coronary circulation. Application to noninvasive quantification of fractional flow reserve (FFR), by Etienne Boileau, Perumal Nithiarasu.- Prediction of carotid hemodynamic descriptors based on ultrasound data and a neural network model, by Catarina F. Castro, Carlos Conceiзгo Antуnio, Luнsa Costa Sousa.- Computer image registration techniques applied to nuclear medicine image, by Raquel S. Alves, Joгo Manuel R.S. Tavares.- Segmentation and 3D Reconstruction of Animal Tissues in Histological Images, by Liliana Azevedo, Augusto M. R. Faustino, Joгo Manuel R. S. Tavares.- Ischemic region segmentation in rat heart photos using DRLSE algorithm, by Regina C. Coelho, Salety F. Baracho, Vinнcius V. de Melo, Carlos Marcelo G. de Godoy.- Pectoral and breast segmentation technique based on texture information, by Khamsa Djaroudib, Pascal Lorenz, Abdelmalik Taleb Ahmed, Abdelmadjid Zidani.- Statistical and physical micro-feature-based segmentation of cortical bone images using artificial intelligence, by Ilige S. Hage, Ramsey F. Hamade.- Human motion segmentation using active shape models, by Maria Joгo M. Vasconcelos, Joгo Manuel R. S. Tavares.- 3D Vocal tract reconstruction using magnetic resonance imaging data to study fricative consonant production, by Sandra R. Ventura, Diamantino R. Freitas, Isabel M. Ramos, Joгo Manuel R. S. Tavares.
Описание: This book constitutes the refereed joint proceedings of the First International Workshop on Graphs in Biomedical Image Analysis, GRAIL 2017, the 6th International Workshop on Mathematical Foundations of Computational Anatomy, MFCA 2017, and the Third International Workshop on Imaging Genetics, MICGen 2017, held in conjunction with the 20th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2017, in Quebec City, QC, Canada, in September 2017.
The 7 full papers presented at GRAIL 2017, the 10 full papers presented at MFCA 2017, and the 5 full papers presented at MICGen 2017 were carefully reviewed and selected. The GRAIL papers cover a wide range of graph based medical image analysis methods and applications, including probabilistic graphical models, neuroimaging using graph representations, machine learning for diagnosis prediction, and shape modeling. The MFCA papers deal with theoretical developments in non-linear image and surface registration in the context of computational anatomy. The MICGen papers cover topics in the field of medical genetics, computational biology and medical imaging.
Описание: Preface.- Structural shear stress evaluation of triple periodic minimal surfaces, by H.A. Almeida, P.J. Bбrtolo.- On the numerical microstructural modeling of vascular tissues, by Estefania Peсa.- What exists in the scientific literature about biomechanical models in pelvic floor? - A systematic review, by Renato Andrade, Rui Viana, Sara Viana, Thuane da Roza, Teresa Mascarenhas, Renato Natal Jorge.- The impairment of female pelvic ligaments and its relation to pelvic floor dysfunction: biomechanical analysis, by Sofia Brandгo, Marco Parente, Ana Rita Silva, Thuane Da Roza, Teresa Mascarenhas, Isabel Ramos, Renato Natal Jorge.- Pelvic floor muscles behavior in practitioners of high and low impact sports, by Thuane Da Roza, Sofia Brandгo, Teresa Mascarenhas, Josй Alberto Duarte, Renato Natal Jorge.- Effects of a pelvic floor muscle training in nulliparous athletes with urinary incontinence: biomechanical models protocol, by M Sousa, R Viana, S Viana, T Da Roza, R Azevedo, M Araъjo, C Festas, T Mascarenhas, R Natal Jorge.- Biomechanical study of the cervical spine, by Tatiana Teixeira, Luнsa Costa Sousa, Renato Natal Jorge, Marco Parente, Joгo Maia Gonзalves, Rolando Freitas.- Injury simulation of anterior cruciate ligament using isogeometric analysis, by J.P.S. Ferreira, M.P.L. Parente, R.M. Natal Jorge.- Influence of flexing load position on the loading of cruciate ligaments at the knee - A graphics-based analysis, by A. Imran.- Modelling and simulation in orthopedic biomechanics - applications and limitations, by A. Imran.- One-dimensional modelling of the coronary circulation. Application to noninvasive quantification of fractional flow reserve (FFR), by Etienne Boileau, Perumal Nithiarasu.- Prediction of carotid hemodynamic descriptors based on ultrasound data and a neural network model, by Catarina F. Castro, Carlos Conceiзгo Antуnio, Luнsa Costa Sousa.- Computer image registration techniques applied to nuclear medicine image, by Raquel S. Alves, Joгo Manuel R.S. Tavares.- Segmentation and 3D Reconstruction of Animal Tissues in Histological Images, by Liliana Azevedo, Augusto M. R. Faustino, Joгo Manuel R. S. Tavares.- Ischemic region segmentation in rat heart photos using DRLSE algorithm, by Regina C. Coelho, Salety F. Baracho, Vinнcius V. de Melo, Carlos Marcelo G. de Godoy.- Pectoral and breast segmentation technique based on texture information, by Khamsa Djaroudib, Pascal Lorenz, Abdelmalik Taleb Ahmed, Abdelmadjid Zidani.- Statistical and physical micro-feature-based segmentation of cortical bone images using artificial intelligence, by Ilige S. Hage, Ramsey F. Hamade.- Human motion segmentation using active shape models, by Maria Joгo M. Vasconcelos, Joгo Manuel R. S. Tavares.- 3D Vocal tract reconstruction using magnetic resonance imaging data to study fricative consonant production, by Sandra R. Ventura, Diamantino R. Freitas, Isabel M. Ramos, Joгo Manuel R. S. Tavares.
Автор: Zhong Liang, Tan Ru San, Ng Eddie Yin Название: Computational and Mathematical Methods in Cardiovascular Physiology ISBN: 9813270632 ISBN-13(EAN): 9789813270633 Издательство: World Scientific Publishing Рейтинг: Цена: 21384.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Cardiovascular diseases (CVD) including heart diseases, peripheral vascular disease and heart failure, account for one-third of deaths throughout the world. CVD risk factors include systolic blood pressure, total cholesterol, high-density lipoprotein cholesterol, and diabetic status. Clinical trials have demonstrated that when modifiable risk factors are treated and corrected, the chances of CVD occurring can be reduced. This illustrates the importance of this book's elaborate coverage of cardiovascular physiology by the application of mathematical and computational methods.This book has literally transformed Cardiovascular Physiology into a STEM discipline, involving (i) quantitative formulations of heart anatomy and physiology, (ii) technologies for imaging the heart and blood vessels, (iii) coronary stenosis hemodynamics measure by means of fractional flow reserve and intervention by grafting and stenting, (iv) fluid mechanics and computational analysis of blood flow in the heart, aorta and coronary arteries, and (v) design of heart valves, percutaneous valve stents, and ventricular assist devices.So how is this mathematically and computationally configured landscape going to impact cardiology and even cardiac surgery? We are now entering a new era of mathematical formulations of anatomy and physiology, leading to technological formulations of medical and surgical procedures towards more precise medicine and surgery. This will entail reformatting of (i) the medical MD curriculum and courses, so as to educate and train a new generation of physicians who are conversant with medical technologies for applying into clinical care, as well as (ii) structuring of MD-PhD (Computational Medicine and Surgery) Program, to train competent medical and surgical specialists in precision medical care and patient-specific surgical care.This book provides a gateway for this new emerging scenario of (i) science and engineering based medical educational curriculum, and (ii) technologically oriented medical and surgical procedures. As such, this book can be usefully employed as a textbook for courses in (i) cardiovascular physiology in both the schools of engineering and medicine of universities, as well as (ii) cardiovascular engineering in biomedical engineering departments worldwide.
Автор: Richard Ansorge, Martin Graves Название: The Physics and Mathematics of MRI ISBN: 1681749149 ISBN-13(EAN): 9781681749143 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 11286.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Provides both an in depth account of the methods used for the operation and construction of modern MRI systems and also the principles of sequence design and many examples of applications. An important additional feature of the book is the detailed discussion of the mathematical principles used in building optimal MRI systems and for sequence design.
Автор: Amit Gefen; Daphne Weihs Название: Computer Methods in Biomechanics and Biomedical Engineering ISBN: 3319597639 ISBN-13(EAN): 9783319597638 Издательство: Springer Рейтинг: Цена: 27950.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This edited volume collects the research results presented at the 14th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering, Tel Aviv, Israel, 2016.
Описание: This edited volume collects the research results presented at the 14th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering, Tel Aviv, Israel, 2016. The topical focus includes, but is not limited to, cardiovascular fluid dynamics, computer modeling of tissue engineering, skin and spine biomechanics, as well as biomedical image analysis and processing. The target audience primarily comprises research experts in the field of bioengineering, but the book may also be beneficial for graduate students alike.
Preface.- Workshop Organization.- Computer Aided Diagnosis and Intervention.- Detection of Sclerotic Spine Metastases via Random Aggregation of Deep Convolutional Neural Network Classifications, by Holger Roth, Jianhua Yao, Le, James Stieger, Joseph Burns, Ronald Summers.- Stacked auto-encoders for classification of 3D spine models in adolescent idiopathic scoliosis, by William Thong, Hubert Labelle, Jesse Shen, Stefan Parent, Samuel Kadoury.- An Active Optical Flow Model for Dose Prediction in Spinal SBRT Plans, by Jianfei Liu, Jackie Wu, FangFang Yin, John Kirkpatrick, Alvin Cabrera, Yaorong Ge.- Portable optically tracked ultrasound system for scoliosis measurement, by Guillermo Carbajal, Бlvaro Gуmez, Gabor Fichtinger, Tamas Ungi.- Spine Segmentation.- Atlas-Based Registration for Accurate Segmentation of Thoracic and Lumbar Vertebrae in CT Data, by Daniel Forsberg.- Segmentation of Lumbar Vertebrae Slices from CT Images, by Hugo Hutt, Richard Everson, Judith Meakin.- Interpolation-Based Detection of Lumbar Vertebrae in CT Spine Images, by Bulat Ibragimov, Robert Korez, Bostjan Likar, Franjo Pernus, Tomaz Vrtovec.- An Improved Shape-Constrained Deformable Model for Segmentation of Vertebrae from CT Lumbar Spine Images, by Robert Korez, Bulat Ibragimov, Bostjan Likar, Franjo Pernus, Tomaz Vrtovec.- Detailed Vertebral Segmentation using Part-Based Decomposition and Conditional Shape Models, by Marco Pereaсez, Karim Lekadir, Cornй Hoogendoorn, Isaac Castro Mateos, Alejandro Frangi.- MR Image Processing.- Automatic Segmentation of the Spinal Cord using Continuous Max Flow with Cross-sectional Similarity Prior and Tubularity Features, by Simon Pezold, Ketut Fundana, Michael Amann, Michaela Andelova, Armanda Pfister, Till Sprenger, Philippe Cattin.- Automated Radiological Measurement of Spinal MRI, by Meelis Lootus, Timor Kadir, Andrew Zisserman.- Automated 3D Lumbar Intervertebral Disc Segmentation from MRI Images, by Xiao Dong, Guoyan Zheng.- Minimally Supervised Segmentation and Meshing of 3D Intervertebral Discs of the Lumbar Spine for Discectomy Simulation, by Rabia Haq, Rifat Aras, Roderick Borgie, David Besachio, Michel Audette.- Localization.- Localisation of Vertebrae on DXA Images using Constrained Local Models with Random Forest Regression Voting, by Paul Bromiley, Judith Adams, Tim Cootes.- Bone Profiles: Simple, Fast, and Reliable Spine Localization in CT Scans, by Jiri Hladuvka, David Major, Katja Bьhler.- Modeling.- Area- and Angle-preserving Parametrization for Vertebra Surface Mesh, by Shoko Miyauchi, Ken'ichi Morooka, Tokuo Tsuji, Yasushi Miyagi, Takaichi Fukuda, Ryo Kurazame.- Contour models for descriptive patient-specific neuro-anatomical modeling: towards a digital brainstem atlas, by Nirmal Patel, Sharmin Sultana, Michel Audette.- Segmentation Challenge.- Atlas-Based Segmentation of the Thoracic and Lumbar Vertebrae, by Daniel Forsberg.- Lumbar and thoracic spine segmentation using a statistical multi-object shape+pose model, by Alexander Seitel, Abtin Rasoulian, Robert Rohling, Purang Abolmaesumi.- Vertebrae Segmentation in 3D CT Images based on a Variational Framework, by Kerstin Hammernik, Thomas Ebner, Darko Stern, Martin Urschler, Thomas Pock.- Interpolation-Based Shape-Constrained Deformable Model Approach for Segmentation of Vertebrae from CT Spine Images, by Robert Korez, Bulat Ibragimov, Bostjan Likar, Franjo, Tomaz Vrtovec.- 3D Vertebra segmentation by feature selection Active Shape Model, by Isaac Castro Mateos, Jose Pozo Soler, Alejandro Frangi.- Report of Vertebra Segmentation Challenge in 2014 MICCAI Workshop on Computational Spine Imaging, by Jianhua Yao, Shuo Li.
Автор: Jianhua Yao; Tobias Klinder; Shuo Li Название: Computational Methods and Clinical Applications for Spine Imaging ISBN: 3319072684 ISBN-13(EAN): 9783319072685 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Preface.- Workshop Organization.- Segmentation I (CT): Segmentation of vertebrae from 3D spine images by applying concepts from transportation and game theories, by Bulat Ibragimov, Bostjan Likar, Franjo Pernus, Tomaz Vrtovec.- Automatic and Reliable Segmentation of Spinal Canals in Low-Resolution, Low-Contrast CT Images, by Qian Wang, Le Lu, Diji Wu, Noha El-Zehiry, Dinggang Shen, Kevin Zhou.- A Robust Segmentation Framework for Spine Trauma Diagnosis, by Poay Hoon Lim, Ulas Bagci, Li Bai.- 2D-PCA based Tensor Level Set Framework for Vertebral Body Segmentation, by Ahmed Shalaby, Aly Farag, Melih Aslan.- Computer Aided Detection and Diagnosis: Computer Aided Detection of Spinal Degenerative Osteophytes on Sodium Fluoride PET/CT, by Jianhua Yao, Hector Munoz, Joseph Burns, Le Lu, Ronald Summers.- Novel Morphological and Appearance Features for Predicting Physical Disability from MR Images in Multiple Sclerosis Patients, by Jeremy Kawahara, Chris McIntosh, Roger Tam, Ghassan Hamarneh.- Classification of Spinal Deformities using a Parametric Torsion Estimator, by Jesse Shen, Stefan Parent, Samuel Kadoury.- Lumbar Spine Disc Herniation Diagnosis with a Joint Shape Model, by Raja Alomari, Vipin Chaudhary, Jason Corso, Gurmeet Dhillon.- Epidural Masses Detection on Computed Tomography Using Spatially-Constrained Gaussian Mixture Models, by Sanket Pattanaik, Jiamin Liu, Jianhua Yao, Weidong Zhang, Evrim Turkbey, Xiao Zhang, Ronald Summers.- Quantitative Imaging: Comparison of manual and computerized measurements of sagittal vertebral inclination in MR images, by Tomaz Vrtovec, Franjo Pernus, Bostjan Likar.- Eigenspine: Eigenvector Analysis of Spinal Deformities in Idiopathic Scoliosis, by Daniel Forsberg, Claes Lundstrцm, Mats Andersson, Hans Knutsson.- Quantitative Monitoring of Syndesmophyte Growth in Ankylosing Spondylitis Using Computed Tomography, by Sovira Tan, Jianhua Yao, Lawrence Yao, Michael Ward.- A Semi-automatic Method for the Quantification of Spinal Cord Atrophy, by Simon Pezold, Michael Amann, Katrin Weier, Ketut Fundana, Ernst Radue, Till Sprenger, Philippe Cattin.- Segmentation II (MR): Multi-modal vertebra segmentation from MR Dixon in hybrid whole-body PET/MR, by Christian Buerger, Jochen Peters, Irina Waechter-Stehle, Frank Weber, Tobias Klinder, Steffen Renisch.- Segmentation of intervertebral discs from high-resolution 3D MRI using multi-level statistical shape models, by Ales Neubert, Jurgen Fripp, Craig Engstrom, Stuart Crozier.- A supervised approach towards segmentation of clinical MRI for automatic lumbar diagnosis, by Subarna Ghosh, Manavender Malgireddy, Vipin Chaudhary, Gurmeet Dhillon.- Registration/Labeling: Automatic Segmentation and Discrimination of Connected Joint Bones from CT by Multi-atlas Registration, by Tristan Whitmarsh, Graham Treece, Kenneth Poole.- Registration of MR to Percutaneous Ultrasound of the Spine for Image-Guided Surgery, by Lars Eirik B , Rafael Palomar, Tormod Selbekk, Ingerid Reinertsen.- Vertebrae Detection and Labelling in Lumbar MR Images, by Meelis Lootus, Timor Kadir, Andrew Zisserman.
Автор: Fei Gao; Kuangyu Shi; Shuo Li Название: Computational Methods for Molecular Imaging ISBN: 331918430X ISBN-13(EAN): 9783319184302 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Part 1 - Computational Methods.- A Review of Computational Methods for Molecular Imaging, by Fei Gao, Pengcheng Shi.- Fuzzy Connectedness Image Co-Segmentation for Hybrid PET/MRI and PET/CT Scans, by Ziyue Xu, Ulas Bagci, Jayaram Udupa, Daniel Mollura.- PET/MRI/VCT: Restoration of Virtual CT from Transmission Scan on PET/MRI using Joint-Anisotropic Diffusion, by Kuangyu Shi, Xiaoyin Cheng, Nassir Navab, Stefan Foerster, Sibylle I. Ziegler.- Large Scale Simplex Optimisation to Accelerate Kinetic Analysis, by Nicholas Dowson, Paul Thomas, Jye Smith, Olivier Salvado, Stephen Rose.- Gradient Projection for Regularized Cryo-Electron Tomographic Reconstruction, by Shadi Albarqouni, Tobias Lasser, Weaam Alkhaldi, Ashraf Al-Amoudi, Nassir Navab.- Joint direct motion estimation/kinetic images reconstruction from gated PET data, by Alexandre Bousse, Jieqing Jiao, Kris Thielemans, Sebastien Ourselin, David Atkinson, Brian Hutton.- Effect of the Mouth Motion in the Attenuation Correction in Neurological PET Studies, by Joaquin Herraiz, Angel Torrado-Carvajal, Norberto Malpica, Juan Hernandez-Tamames.- Dual Estimation of Activity Maps and Kinetic Parameters for Dynamic PET Imaging, by Jingjia Xu, Huafeng Liu, Pengcheng Shi, Fei Gao.- Time-Activity Curve based Sinogram Decomposition for Streak Artifacts Reduction in Dynamic PET Reconstruction, by Xiaoyin Cheng, Jun Liu, Jakob Vogel, Zhen Liu, Nassir Navab, Sibylle Ziegler, Kuangyu Shi.- Part 2 - Clinical Applications.- 4-D PET-MR with Volumetric Navigators and Compressed Sensing, by Stefano Pedemonte, Ciprian Catana, Koen Van Leemput.- Robust Feature Selection to Predict Lung Tumor Recurrence Hongmei Mi, Caroline Petitjean, Pierre Vera, Su Ruan.- Region-based Data-driven Intensity Normalization for Group Comparison of Functional Brain Images, by Zhiyong Xie, Aijun Zhu, Laigao Chen, Timothy McCarthy.- A reaction-diffusion simulation model of 18F-FDG PET imaging for the quantitative interpretation of cancerous metabolism, by Qian Wang, Zhen Liu, Sibylle I. Ziegler, Kuangyu Shi.- Generation of MR-based Attenuation Correction Map of PET Images in the Brain Employing Joint Segmentation of Skull and Soft-Tissue from Single Short-TE MR Imaging Modality, by Anahita Fathi Kazerooni, Mohammad Hadi A'arabi, Hamidreza Saligheh Rad.- Query by Image of Brain SPECT Database, by David Wack, Feyza Erenler, Robert Miletich.- Age-related Glucose Metabolism Changes in Brain, by Xiaoyan Shen, Zhiliang Liu, Zhenghui Hu, Huafeng Liu.- Investigation of Single- Versus Joint-Modality PET-MR Registration for 18F-Florbetapir Quantification: Application to Alzheimer's Disease, by Liam Cattell, Julia Schnabel, Jerome Declerck, Chloe Hutton.
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