Mechanical design of new components for hearing aids. Variation thereof potentially could be extremely helpful in the That systematic knowledge of the geometry of ear canals and the Not on a systematic description of the ear canal. Today the design of components is based on intuition and skill and Hand it is desirable to minimise the size of the final hearing aid. Microphone, an amplifier, a loudspeaker, and battery. The shell of a CIC must have size and shape that allows it to contain a Secondly, the CIC has some acoustic advantages. First of all the small size isĬosmetically appealing because a well-produced CIC is as good as These styles is called CIC (completely in the canal) and it has a Hearing aids come in a number of different styles.
Statistical Shape Analysis of the Human Ear Canal Instead, this project aims at replacing this task with automated and efficient methods eliminating subjectivity.
HUMAN BRAIN 3D MODEL PROJECT CORPUS CALLOSUM MANUAL
However, obtaining manual tracings of the corpus callosum is both time-consuming, error-prone and operator dependent.
The gold standard for such morphometry studies is magnetic resonance imaging, which allows acquisition of accurate images of the anatomy (and function) of the brain. Many neurological studies indicate that the size and shape of the corpus callosum are related to gender, age, neurodegenerative diseases et cetera. Statistical methods are applied in order to analyze the shape and size variation within groups of children, as well as in order to discern between different types of treatment and study temporal evolution.Ĭorpus callosum is the nervous tissue that connects the two cerebral hemispheres of the human brain. Reliable and detailed (semi-) automatic 3D point-to-point correspondence across a population of shapes is achieved using deformable models. The methods are applied to three-projection x-ray images, plaster casts of palatal impressions and three-dimensional scans of children with cleft lip and palate. This project develops methods for extraction and analysis of the shape and size of the human skull in infancy and adolescence, and is carried out at the joint 3D-Laboratory (3D-Lab) of Copenhagen University Hospital, School of Dentistry, University of Copenhagen and Informatics and Mathematical Modelling, Technical University of Denmark. This project aims at replacing the tedious and error prone labour with an automatic image analysis method, which provides a structured way of collecting and applying expert knowledge given by medical doctors into a learning-based framework.ģD Shape Analysis of The Craniofacial Anomaly in Children With Cleft Lip and Palate A major part of this manual labour is spent by marking up points of correspondence on the myocardium, thus enabling compensation of any motion during a perfusion sequence. While scanning times have improved drastically, the amount of manual post-processing remains to render the method prohibitive to clinical practice. Within the last decade magnetic resonance imaging has been proven able to assess myocardial perfusion in an accurate and safe manner. Motion-compensation of Cardiac Perfusion MRI This project develops methods for automated segmentation and will thus enhance comparability between and within cardiac studies and increase accuracy by allowing acquisition of thinner MRI-slices. Since manual border detection is laborious, automated segmentation is highly desirable as a fast, objective and reproducible alternative. Measurement of ventricular volumes, muscle mass and function is based on determination of the left-ventricular endocardial and epicardial borders. Magnetic resonance imaging (MRI) has been shown to be an accurate and precise technique to assess cardiac volumes and function in a non-invasive manner and is generally considered to be the current gold standard for cardiac imaging. moreĪutomated Segmentation and Analysis of Cardiac MRI Severe congenital craniofacial malformations. To improve treatment diagnosis, planning, and outcome in patients with Normal and abnormal craniofacial morphogenesis (including tooth eruption), The ultimate goal of the research is, through improved understanding of Targeted for prediction, simulation, and analysis of biological and medical The understanding of both mandibular growth and tooth eruption, and are The project is a collaboration between both national and The Mathematical Modelling of Mandibular Metamorphosis (4M) project is aimedĪt establishing models of the biological growth of human mandibles (jawīones) based on 3D CT (computed tomography) scans and clinically identified Mathematical Modelling of Mandibular Metamorphosis IMM Research - Medical Image Analysis Image Analysis and Computer Graphics >