Описание: Reflecting the significant developments of the past decade, this textbook explains key physical methods in modern biology. Each method is illustrated through real-world examples, alongside background information designed for both physicists and biologists, making this an ideal resource for students in biophysics at science and medical schools.
Автор: Steve Payne, Ian Eardley, Kieran O`Flynn Название: Imaging and Technology in UrologyPrinciples and Clinical Applications Imaging and Technology in UrologyPrinciples and Clinical Applications ISBN: 1447124219 ISBN-13(EAN): 9781447124214 Издательство: Springer Рейтинг: Цена: 9085.00 р. Наличие на складе: Есть (2 шт.) Описание: Imaging and Technology: Principles and Clinical Applications is a practical and user-friendly consolidated source book for urologists, and urologists in training, regarding the basic science of imaging modalities used on a day-to-day basis in urological practice.
Model Development and Incremental Learning Based on Case-Based Reasoning for Signal and Image Analysis.- CVT-Based 3D Image Segmentation for Quality Tetrahedral Meshing.- Structuring Digital Spaces by Path-partition Induced Closure Operators on Graphs.- Atypical (Rare) Elements Detection - A Conditional Nonparametric Approach.- Finding Shortest Isothetic Path inside a 3D Digital Object.- Unified Characterization of P-Simple Points in Triangular, Square, and Hexagonal Grids.- Concepts of Binary Morphological Operations Dilation and Erosion on the Triangular Grid.- Boundary and Shape Complexity of a Digital Object.- Interior and Exterior Shape Representations Using the Screened Poisson Equation.- Picture Scanning Automata.- Two-Dimensional Input-Revolving Automata.- Direct Phasing of Crystalline Materials from X-ray Powder Diffraction.- Detection of Counterfeit Coins Based on Modeling and Restoration of 3D Images.- Automated Brain Tumor Diagnosis and Severity Analysis from Brain MRI.- Medical Image Segmentation Using Improved Affinity Propagation.- Simple Signed-Distance Function Depth Calculation Applied to Measurement of the fMRI BOLD Hemodynamic Response Function in Human Visual Cortex.- A Study of Children Facial Recognition for Privacy in Smart TV.- Scrambling Cryptography Using Programmable SLM-based Filter for Video Streaming over a WDM Network.- An Accelerated H.264/AVC Encoder on Graphic Processing Unit for UAV Videos.
Medical Treatment, Imaging and Analysis.- Image Registration, Denoising and Feature Identification.- Image Segmentation.- Shape Analysis, Meshing and Graphs.- Medical Image Processing and Simulations.- Image Recognition, Reconstruction and Predictive Modeling.- Image-Based Modeling and Simulations.- Computer Vision and Data-Driven Investigations.
This book constitutes the refereed post-conference proceedings of the 6th International Symposium on Computational Modeling of Objects Presented in Images, CompIMAGE 2018, held in Cracow, Poland, in
July 2018.
The 16 revised full papers presented in this book were carefully reviewed and selected from 30 submissions. The papers cover the following topics: digital geometry; digital tomography; and methods and applications.
Автор: Wisotsky, Wisotzky Eric, Tseng Victor Название: Pocket Emg ISBN: 1620700387 ISBN-13(EAN): 9781620700389 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 9148.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: "Pocket EMG" is a practical reference intended for on-the-job use. It is designed as a portable pocket guide to performing nerve conduction and needle EMG studies in a fast-paced clinical environment. Each test is presented on a page, and includes a photograph of the proper set-up, indications for performing the test, and clinical pearls to help the learner appreciate the key technical points and physiological considerations. Quick reference tables are provided in the final two sections to summarize what tests should be ordered for particular problems or diagnoses and normal value ranges for all studies covered.
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: Guoyan Zheng; Daniel Belavy; Yunliang Cai; Shuo Li Название: Computational Methods and Clinical Applications for Spine Imaging ISBN: 303013735X ISBN-13(EAN): 9783030137359 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Spinal Cord Gray Matter-White Matter Segmentation on Magnetic Resonance AMIRA Images with MD-GRU.- Predicting Scoliosis in DXA Scans Using Intermediate Representations.- Fast Registration of CT with Intra-operative Ultrasound Images for Spine Surgery.- Automated Grading of Modic Changes Using CNNs - Improving the Performance with Mix-up.- Error Estimation for Appearance Model Segmentation of Musculoskeletal Structures Using Multiple, Independent Sub-models.- Automated Segmentation of Intervertebral Disc using Fully Dilated Separable Deep Neural Networks.- Intensity Standardization of Skeleton in Follow-up Whole-Body MRI.- Towards a Deformable Multi-Surface Approach to Ligamentous Spine Models for Predictive Simulation-Based Scoliosis Surgery Planning.- Intervertebral Disc Segmentation Using Mathematical Morphology-A CNN-Free Approach.
Описание: Localization of Bone Surfaces from Ultrasound Data Using Local Phase Information and Signal Transmission Maps.- Shape-aware Deep Convolutional Neural Network for Vertebrae Segmentation.- Automated Characterization of Body Composition and Frailty with Clinically Acquired CT.- Unfolded cylindrical projection for rib fracture diagnosis.- 3D Cobb Angle Measurements from Scoliotic Mesh Models with Varying Face-Vertex Density.- Automatic Localization of the Lumbar Vertebral Landmarks in CT Images with Context Features.- Joint Multimodal Segmentation of Clinical CT and MR from Hip Arthroplasty Patients.- Reconstruction of 3D muscle fiber structure using high resolution cryosectioned volume.- Segmentation of Pathological Spines in CT Images Using a Two-Way CNN and a Collision-Based Model.- Attention-driven deep learning for pathological spine segmentation.- Automatic Full Femur Segmentation from Computed Tomography Datasets using an Atlas-Based Approach.- Classification of Osteoporotic Vertebral Fractures using Shape and Appearance Modelling.- DSMS-FCN: A Deeply Supervised Multi-Scale Fully Convolutional Network for Automatic Segmentation of Intervertebral Disc in 3D MR Images.
Описание: This book constitutes the refereed proceedings of the Third International Workshop and Challenge on Computational Methods and Clinical Applications for Spine Imaging, CSI 2015, held in conjunction with MICCAI 2015, in Munich, Germany, in October 2015.
Автор: Hiroyuki Yoshida; Janne J. N?ppi; Sanjay Saini Название: Abdominal Imaging. Computational and Clinical Applications ISBN: 3319136917 ISBN-13(EAN): 9783319136912 Издательство: Springer Рейтинг: Цена: 7826.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 6th International Workshop ABDI 2014, held in conjunction with MICCAI 2014, in Cambridge, MA, USA, in September 2014. The topics covered are liver and pancreas - ablation, perfusion, and segmentation; gastrointestinal tract - Crohn`s disease; gastrointestinal tract - colonoscopy, colonography;
Автор: Hiroyuki Yoshida; Simon Warfield; Michael Vannier Название: Abdominal Imaging. Computational and Clinical Applications ISBN: 3642410820 ISBN-13(EAN): 9783642410826 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A Model Development Pipeline for Crohn's Disease Severity Assessment from Magnetic Resonance Images.- Spatially Constrained Incoherent Motion (SCIM) Model Improves Quantitative Diffusion-Weighted MRI Analysis of Crohn's Disease Patients.- Self Similarity Image Registration based on Reorientation of the Hessian.- Registration of Prone and Supine CT Colonography Datasets with Differing Endoluminal Distension.- Spatial Correspondence between Prone and Supine CT Colonography Images: Creating a Reference Standard.- Registration of Temporally Separated CT Colonography Cases.- A Classification-Enhanced Vote Accumulation Scheme for Detecting Colonic Polyps.- A Novel Computer Aided Detection (CADe) Scheme for Colonic Polyps Based on the Structure Decomposition.- Computer-aided Detection of Colorectal Lesions with Super-Resolution CT Colonography: Pilot Evaluation.- Computer-aided Detection of Non-polypoid Flat Lesions in CT Colonography: Observer Performance Study.- Application of Synthetic Sinogram based Low-Dose CT Simulation and Fold-preserving Electronic Cleansing Technique for CT Colonography.- Iterative Reconstruction for Ultra-Low-Dose Laxative-Free CT Colonography.- Global Colon Geometric Structure Analysis Based on Geodesics and Conformal Flattening.- Improved Colon Navigation for Efficient Polyp Detection in Virtual Colonoscopy.- Personalised Estimation of the Arterial Input Function for Improved Pharmacokinetic Modelling of Colorectal Cancer Using dceMRI.- Free-Form Registration Involving Disappearing Structures: Application to Brachytherapy MRI.- Contour-based TVUS-MR Image Registration for Mapping Small Endometrial Implants.- Rigid Registration of Untracked Freehand 2D Ultrasound Sweeps to 3D CT of Liver Tumours.- Multiphase Liver Registration from Geodesic Distance Maps and Biomechanical Modelling.- Fast Renal Cortex Localization by Combining Generalized Hough Transform and Active Appearance Models.- 3D Surface Reconstruction of Organs Using Patient-Specific Shape Priors in Robot-Assisted Laparoscopic Surgery.- Multi-atlas and Gaussian Mixture Modeling based Perirectal Fat Segmentation from CT Images.- Selective Search and Sequential Detection for Standard Plane Localization in Ultrasound.- Rib Detection in 3D MRI Using Dynamic Programming Based on Vesselness and Ridgeness.- Modeling and Simulation of Soft Tissue Deformation.- Adaptive Confidence Regions of Motion Predictions from Population Exemplar Models.- A Generic, Robust and Fully-automatic Workflow for 3D CT Liver Segmentation.- Tumor Subtype-Specific Parameter Optimization in a Hybrid Active Surface Model for Hepatic Tumor Segmentation of 3D Liver Ultrasonograms.- Continuous-Time Flow-limited Modeling by Convolution Area Property and Differentiation Product Rule in 4-Phase Liver Dynamic Contrast-Enhanced CT.- Use of Tracer Kinetic Model-driven Biomarkers for Monitoring Antiangiogenic Therapy of Hepatocellular Carcinoma in First-pass Perfusion CT.- A Statistical Shape Model for Multiple Organs based on Synthesized-based Learning.- A Survey of Cervix Segmentation Methods in Magnetic Resonance Images.
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