Normalization Of Magnetic Resonance Images And Its Application To The Diagnosis Of The Scoliotic Spine
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| Author | : Florian Jäger |
| Publisher | : Logos Verlag Berlin GmbH |
| Total Pages | : 166 |
| Release | : 2011 |
| Genre | : Computers |
| ISBN | : 3832527796 |
Auf Grund des hervorragenden Weichteilkontrasts und neuen innovativen Aufnahmesequenzen wurde die Magnetresonanztomographie zu einer der meist verwendeten bildgebenden Modalitat im modernen Gesundheitswesen. In den Aufnahmen konnen Artefakte allerdings eine stark verminderte Bildqualitat bewirken. Die Storungen erschweren die Sichtung der Daten und konnen schlimmstenfalls sogar zu falschen Entscheidungen des Radiologen fuhren. Die am haufigsten beobachteten Artefakte sind Intensitatsvariationen innerhalb eines Bildes und zwischen mehreren Aufnahmen. In der vorliegenden Arbeit stellen wir neu entwickelte, prazise und performante Techniken zur Korrektur dieser Intensitatsvariationen vor. Die positiven Auswirkungen einer solchen Bildverbesserung werden anhand eines Systems zur computergestutzten Sichtung von Anomalien in der skoliotischen Wirbelsaule in Magnetresonanztomographien demonstriert.
| Author | : Tomás Arias-Vergara |
| Publisher | : Logos Verlag Berlin GmbH |
| Total Pages | : 276 |
| Release | : 2022-12-15 |
| Genre | : Computers |
| ISBN | : 3832555617 |
This book addresses the automatic analysis of speech disorders resulting from a clinical condition (Parkinson's disease and hearing loss) or the natural aging process. For Parkinson's disease, the progression of speech symptoms is evaluated by considering speech recordings captured in the short-term (4 months) and long-term (5 years). Machine learning methods are used to perform three tasks: (1) automatic classification of patients vs. healthy speakers. (2) regression analysis to predict the dysarthria level and neurological state. (3) speaker embeddings to analyze the progression of the speech symptoms over time. For hearing loss, automatic acoustic analysis is performed to evaluate whether the duration and onset of deafness (before or after speech acquisition) influence the speech production of cochlear implant users. Additionally, articulation, prosody, and phonemic analyses show that cochlear implant users present altered speech production even after hearing rehabilitation.
| Author | : Management Association, Information Resources |
| Publisher | : IGI Global |
| Total Pages | : 1671 |
| Release | : 2022-09-09 |
| Genre | : Medical |
| ISBN | : 1668475456 |
Medical imaging provides medical professionals the unique ability to investigate and diagnose injuries and illnesses without being intrusive. With the surge of technological advancement in recent years, the practice of medical imaging has only been improved through these technologies and procedures. It is essential to examine these innovations in medical imaging to implement and improve the practice around the world. The Research Anthology on Improving Medical Imaging Techniques for Analysis and Intervention investigates and presents the recent innovations, procedures, and technologies implemented in medical imaging. Covering topics such as automatic detection, simulation in medical education, and neural networks, this major reference work is an excellent resource for radiologists, medical professionals, hospital administrators, medical educators and students, librarians, researchers, and academicians.
| Author | : Maxime Descoteaux |
| Publisher | : Springer |
| Total Pages | : 848 |
| Release | : 2017-09-03 |
| Genre | : Computers |
| ISBN | : 3319661825 |
The three-volume set LNCS 10433, 10434, and 10435 constitutes the refereed proceedings of the 20th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2017, held inQuebec City, Canada, in September 2017. The 255 revised full papers presented were carefully reviewed and selected from 800 submissions in a two-phase review process. The papers have been organized in the following topical sections: Part I: atlas and surface-based techniques; shape and patch-based techniques; registration techniques, functional imaging, connectivity, and brain parcellation; diffusion magnetic resonance imaging (dMRI) and tensor/fiber processing; and image segmentation and modelling. Part II: optical imaging; airway and vessel analysis; motion and cardiac analysis; tumor processing; planning and simulation for medical interventions; interventional imaging and navigation; and medical image computing. Part III: feature extraction and classification techniques; and machine learning in medical image computing.
| Author | : Chris Schwemmer |
| Publisher | : Logos Verlag Berlin GmbH |
| Total Pages | : 157 |
| Release | : 2019-06-26 |
| Genre | : Medical |
| ISBN | : 3832549374 |
Cardiovascular disease has become the number one cause of death worldwide. For the diagnosis and therapy of coronary artery disease, interventional C-arm-based fluoroscopy is an imaging method of choice. While these C-arm systems are also capable of rotating around the patient and thus allow a CT-like 3-D image reconstruction, their long rotation time of about five seconds leads to strong motion artefacts in 3-D coronary artery imaging. In this work, a novel method is introduced that is based on a 2-D-2-D image registration algorithm. It is embedded in an iterative algorithm for motion estimation and compensation and does not require any complex segmentation or user interaction. It is thus fully automatic, which is a very desirable feature for interventional applications. The method is evaluated on simulated and human clinical data. Overall, it could be shown that the method can be successfully applied to a large set of clinical data without user interaction or parameter changes, and with a high robustness against initial 3-D image quality, while delivering results that are at least up to the current state of the art, and better in many cases.
| Author | : Juan Rafael Orozco-Arroyave |
| Publisher | : Logos Verlag Berlin GmbH |
| Total Pages | : 146 |
| Release | : 2016-11-11 |
| Genre | : Medical |
| ISBN | : 3832543619 |
The analysis of speech of people with Parkinson's disease is an interesting and highly relevant topic that has attracted the research community during several years. The advances in digital signal processing and pattern recognition have motivated the research community to work on the development of computational tools to perform automatic analysis of speech. Most of the contributions on this topic are focused on sustained phonation of vowels and only consider recordings of one language. This thesis addresses two problems considering recordings of sustained phonations of vowels and continuous speech signals: (1) the automatic classification of Parkinson's patients vs. healthy speakers, and (2) the prediction of the neurological state of the patients according to the motor section of the Unified Parkinson's Disease Rating Scale (UPDRS). Recordings of three languages are considered: Spanish, German, and Czech. German and Czech data were provided by other researchers, and Spanish data were recorded in Medellin, Colombia, during the development of this work. Besides the classical approaches to assess pathological speech, a new method to model articulation deficits of Parkinson's patients is proposed. This new articulation modeling approach shows to be more accurate and robust than others to discriminate between Parkinson's patients and healthy speakers in the three considered languages.
| Author | : Florian Hönig |
| Publisher | : Logos Verlag Berlin GmbH |
| Total Pages | : 264 |
| Release | : 2017 |
| Genre | : Computers |
| ISBN | : 3832545670 |
Worldwide there is a universal need for second language language learning. It is obvious that the computer can be a great help for this, especially when equipped with methods for automatically assessing the learner's pronunciation. While assessment of segmental pronunciation quality (i.,e. whether phones and words are pronounced correctly or not) is already available in commercial software packages, prosody (i.e. rhythm, word accent, etc.) is largely ignored--although it highly impacts intelligibility and listening effort. The present thesis contributes to closing this gap by developing and analyzing methods for automatically assessing the prosody of non-native speakers. We study the detection of word accent errors and the general assessment of the appropriateness of a speaker's rhythm. We propose a flexible, generic approach that is (a) very successful on these tasks, (b) competitive to other state-of-the-art result, and at the same time (c) flexible and easily adapted to new tasks.
| Author | : Zeyd Boukhers |
| Publisher | : Logos Verlag Berlin GmbH |
| Total Pages | : 160 |
| Release | : 2017 |
| Genre | : Computers |
| ISBN | : 3832545832 |
The present dissertation addresses the problem of extracting 3D trajectories of objects from 2D videos. The reason of this is the theory that these trajectories symbolise high-level interpretations of human activities. A 3D trajectory of an object means its sequential positions in the real world over time. To this end, a generic framework for detecting objects and extracting their trajectories is proposed. In simpler terms, it means obtaining the 3D coordinate of the objects detected on the image plane and then tracking them in the real world to extract their 3D trajectories. Lastly, this dissertation presents applications of trajectory analysis to understand human activities in crowded environments. In this context, each phase in the framework represents independent approaches dedicated to solving challenging tasks in computer vision and multimedia.
| Author | : Muhammad Hassan Khan |
| Publisher | : Logos Verlag Berlin GmbH |
| Total Pages | : 162 |
| Release | : 2018-11-30 |
| Genre | : Computers |
| ISBN | : 3832548076 |
An automatic recognition of human activities enables their use in several interesting applications of daily life. This dissertation emphases on the analysis of human activities in a visual surveillance scenario and the classification of physical activities in the therapeutic procedure using visual data. The first part of the dissertation proposes a robust gait representation to recognise the identity of a person using his/her walking style, dealing with its several real world challenges as well as taking into consideration the effects of cross-view recognition. In the second part, a complete framework is proposed to capture and analyse the movement of different body parts in human which is useful in the clinical assessment to detect any movement disorders and the assessment of the desired therapeutic program.
| Author | : Shuo Li |
| Publisher | : Springer |
| Total Pages | : 507 |
| Release | : 2014-12-17 |
| Genre | : Technology & Engineering |
| ISBN | : 3319125087 |
This book is instrumental to building a bridge between scientists and clinicians in the field of spine imaging by introducing state-of-the-art computational methods in the context of clinical applications. Spine imaging via computed tomography, magnetic resonance imaging, and other radiologic imaging modalities, is essential for noninvasively visualizing and assessing spinal pathology. Computational methods support and enhance the physician’s ability to utilize these imaging techniques for diagnosis, non-invasive treatment, and intervention in clinical practice. Chapters cover a broad range of topics encompassing radiological imaging modalities, clinical imaging applications for common spine diseases, image processing, computer-aided diagnosis, quantitative analysis, data reconstruction and visualization, statistical modeling, image-guided spine intervention, and robotic surgery. This volume serves a broad audience as contributions were written by both clinicians and researchers, which reflects the intended readership as well, being a potentially comprehensive book for all spine related clinicians, technicians, scientists, and graduate students.
