Statistical Shape Analysis Of Anatomical Structures
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Author |
: Poilna Golland |
Publisher |
: |
Total Pages |
: 130 |
Release |
: 2001 |
ISBN-10 |
: OCLC:49839465 |
ISBN-13 |
: |
Rating |
: 4/5 (65 Downloads) |
Synopsis Statistical Shape Analysis of Anatomical Structures by : Poilna Golland
(Cont.) For morphological studies, the discriminative direction can be conveniently represented by a deformation of the original shape, yielding an intuitive description of shape differences for visualization and further analysis. Based on this approach, we present a system for statistical shape analysis using distance transforms for shape representation and the Support Vector Machines learning algorithm for the optimal classifier estimation. We demonstrate it on artificially generated data sets, as well as real medical studies.
Author |
: Neda Changizi |
Publisher |
: |
Total Pages |
: 0 |
Release |
: 2010 |
ISBN-10 |
: OCLC:1127754532 |
ISBN-13 |
: |
Rating |
: 4/5 (32 Downloads) |
Synopsis Probabilistic Multi-label Representations for Anatomical Statistical Shape Analysis by : Neda Changizi
Several sources of uncertainties in shape boundaries in medical images have motivated the use of probabilistic labeling approaches. Being able to perform statistical analysis on these probabilistic multi-shape representations is important in understanding normal and pathological geometrical variability of anatomical structures. By making use of methods for dealing with what is known as compositional data, we propose a new framework intrinsic to the unit simplex for statistical analysis of probabilistic multi-shape anatomy. In this framework, an isometric log-ratio transformation is used to isometrically and bijectively map the simplex to the Euclidean real space. As another contribution of this thesis, the label space multi-shape representation (of Malcolm et al. [49]) is extended to the barycentric label space, in which a proper invertible mapping between probability vectors and label space is proposed. Favorable properties of the proposed methods are demonstrated quantitatively and qualitatively on artificial objects and brain image data.
Author |
: Daniel Alejandro Valdés Amaro |
Publisher |
: |
Total Pages |
: 378 |
Release |
: 2009 |
ISBN-10 |
: OCLC:921051589 |
ISBN-13 |
: |
Rating |
: 4/5 (89 Downloads) |
Synopsis Statistical Shape Analysis for Bio-structures by : Daniel Alejandro Valdés Amaro
Author |
: Guoyan Zheng |
Publisher |
: Academic Press |
Total Pages |
: 510 |
Release |
: 2017-03-23 |
ISBN-10 |
: 9780128104941 |
ISBN-13 |
: 0128104945 |
Rating |
: 4/5 (41 Downloads) |
Synopsis Statistical Shape and Deformation Analysis by : Guoyan Zheng
Statistical Shape and Deformation Analysis: Methods, Implementation and Applications contributes enormously to solving different problems in patient care and physical anthropology, ranging from improved automatic registration and segmentation in medical image computing to the study of genetics, evolution and comparative form in physical anthropology and biology. This book gives a clear description of the concepts, methods, algorithms and techniques developed over the last three decades that is followed by examples of their implementation using open source software. Applications of statistical shape and deformation analysis are given for a wide variety of fields, including biometry, anthropology, medical image analysis and clinical practice. - Presents an accessible introduction to the basic concepts, methods, algorithms and techniques in statistical shape and deformation analysis - Includes implementation examples using open source software - Covers real-life applications of statistical shape and deformation analysis methods
Author |
: Shuo Li |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 441 |
Release |
: 2014-01-28 |
ISBN-10 |
: 9783319038131 |
ISBN-13 |
: 3319038133 |
Rating |
: 4/5 (31 Downloads) |
Synopsis Shape Analysis in Medical Image Analysis by : Shuo Li
This book contains thirteen contributions from invited experts of international recognition addressing important issues in shape analysis in medical image analysis, including techniques for image segmentation, registration, modelling and classification and applications in biology, as well as in cardiac, brain, spine, chest, lung and clinical practice. This volume treats topics such as for example, anatomic and functional shape representation and matching; shape-based medical image segmentation; shape registration; statistical shape analysis; shape deformation; shape-based abnormity detection; shape tracking and longitudinal shape analysis; machine learning for shape modeling and analysis; shape-based computer-aided-diagnosis; shape-based medical navigation; benchmark and validation of shape representation, analysis and modeling algorithms. This work will be of interest to researchers, students and manufacturers in the fields of artificial intelligence, bioengineering, biomechanics, computational mechanics, computational vision, computer sciences, human motion, mathematics, medical imaging, medicine, pattern recognition and physics.
Author |
: Martin Reuter |
Publisher |
: Springer |
Total Pages |
: 319 |
Release |
: 2018-11-22 |
ISBN-10 |
: 9783030047474 |
ISBN-13 |
: 3030047474 |
Rating |
: 4/5 (74 Downloads) |
Synopsis Shape in Medical Imaging by : Martin Reuter
This book constitutes the proceedings of the Workshop on Shape in Medical Imaging, ShapeMI 2018, held in conjunction with the 21st International Conference on Medical Image Computing, MICCAI 2018, in Granada, Spain, in September 2018. The 26 full papers and 2 short papers presented were carefully reviewed and selected for inclusion in this volume. The papers discuss novel approaches and applications in shape and geometry processing and their use in research and clinical studies and explore novel, cutting-edge theoretical methods and their usefulness for medical applications, e.g., from the fields of geometric learning or spectral shape analysis.
Author |
: Hamid Krim |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 396 |
Release |
: 2007-12-31 |
ISBN-10 |
: 9780817644819 |
ISBN-13 |
: 0817644814 |
Rating |
: 4/5 (19 Downloads) |
Synopsis Statistics and Analysis of Shapes by : Hamid Krim
The subject of pattern analysis and recognition pervades many aspects of our daily lives, including user authentication in banking, object retrieval from databases in the consumer sector, and the omnipresent surveillance and security measures around sensitive areas. Shape analysis, a fundamental building block in many approaches to these applications, is also used in statistics, biomedical applications (Magnetic Resonance Imaging), and many other related disciplines. With contributions from some of the leading experts and pioneers in the field, this self-contained, unified volume is the first comprehensive treatment of theory, methods, and algorithms available in a single resource. Developments are discussed from a rapidly increasing number of research papers in diverse fields, including the mathematical and physical sciences, engineering, and medicine.
Author |
: Martin Reuter |
Publisher |
: Springer Nature |
Total Pages |
: 160 |
Release |
: 2020-10-02 |
ISBN-10 |
: 9783030610562 |
ISBN-13 |
: 303061056X |
Rating |
: 4/5 (62 Downloads) |
Synopsis Shape in Medical Imaging by : Martin Reuter
This book constitutes the proceedings of the International Workshop on Shape in Medical Imaging, ShapeMI 2020, which was held in conjunction with the 23rd International Conference on Medical Image Computing and Computer Assistend Intervention, MICCAI 2020, in October 2020. The conference was planned to take place in Lima, Peru, but changed to a virtual format due to the COVID-19 pandemic. The 12 full papers included in this volume were carefully reviewed and selected from 18 submissions. They were organized in topical sections named: methods; learning; and applications.
Author |
: Ian L. Dryden |
Publisher |
: John Wiley & Sons |
Total Pages |
: 496 |
Release |
: 2016-06-28 |
ISBN-10 |
: 9781119072508 |
ISBN-13 |
: 1119072506 |
Rating |
: 4/5 (08 Downloads) |
Synopsis Statistical Shape Analysis by : Ian L. Dryden
A thoroughly revised and updated edition of this introduction to modern statistical methods for shape analysis Shape analysis is an important tool in the many disciplines where objects are compared using geometrical features. Examples include comparing brain shape in schizophrenia; investigating protein molecules in bioinformatics; and describing growth of organisms in biology. This book is a significant update of the highly-regarded `Statistical Shape Analysis’ by the same authors. The new edition lays the foundations of landmark shape analysis, including geometrical concepts and statistical techniques, and extends to include analysis of curves, surfaces, images and other types of object data. Key definitions and concepts are discussed throughout, and the relative merits of different approaches are presented. The authors have included substantial new material on recent statistical developments and offer numerous examples throughout the text. Concepts are introduced in an accessible manner, while retaining sufficient detail for more specialist statisticians to appreciate the challenges and opportunities of this new field. Computer code has been included for instructional use, along with exercises to enable readers to implement the applications themselves in R and to follow the key ideas by hands-on analysis. Statistical Shape Analysis: with Applications in R will offer a valuable introduction to this fast-moving research area for statisticians and other applied scientists working in diverse areas, including archaeology, bioinformatics, biology, chemistry, computer science, medicine, morphometics and image analysis .
Author |
: Scott L. Delp |
Publisher |
: Springer |
Total Pages |
: 1275 |
Release |
: 2004-02-12 |
ISBN-10 |
: 9783540408994 |
ISBN-13 |
: 3540408991 |
Rating |
: 4/5 (94 Downloads) |
Synopsis Medical Image Computing and Computer-Assisted Intervention - MICCAI 2000 by : Scott L. Delp
This book constitutes the refereed proceedings of the Third International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2000, held in Pittsburgh, PA, USA in October 2000.The 136 papers presented were carefully reviewed and selected from a total of 194 submissions. The book offers topical sections on neuroimaging and neuroscience, segmentation, oncology, medical image analysis and visualization, registration, surgical planning and simulation, endoscopy and laparoscopy, cardiac image analysis, vascular image analysis, visualization, surgical navigation, medical robotics, plastic and craniofacial surgery, and orthopaedics.