Search for dissertations about: "Filtering and reconstruction in image processing"
Showing result 1 - 5 of 9 swedish dissertations containing the words Filtering and reconstruction in image processing.
-
1. Filtering and reconstruction in image processing
Abstract : Image processing is a broad field posing a wide range of problems. The Work presented in this dissertation is mainly concerned with filter design subject to different criteria and constraints.The first part describes the development of a new radiographic reconstruction method designated Ectomography. READ MORE
-
2. Guidance and Visualization for Brain Tumor Surgery
Abstract : Image guidance and visualization play an important role in modern surgery to help surgeons perform their surgical procedures. Here, the focus is on neurosurgery applications, in particular brain tumor surgery where a craniotomy (opening of the skull) is performed to access directly the brain region to be treated. READ MORE
-
3. Development and application of rule- and learning-based approaches within the scope of neuroimaging : Tensor voting, tractography and machine learning
Abstract : The opportunity to non-invasively probe the structure and function of different parts of the human body makes medical imaging an indispensable tool in clinical diagnostics and related fields of research. Especially neuroscientists rely on modalities like structural or functional Magnetic Resonance Imaging, Computed Tomography or Positron Emission Tomography to study the human brain in vivo. READ MORE
-
4. Contributions to Signal Processing for MRI
Abstract : Magnetic Resonance Imaging (MRI) is an important diagnostic tool for imaging soft tissue without the use of ionizing radiation. Moreover, through advanced signal processing, MRI can provide more than just anatomical information, such as estimates of tissue-specific physical properties. READ MORE
-
5. Adaptive tensor-based morphological filtering and analysis of 3D profile data
Abstract : Image analysis methods for processing 3D profile data have been investigated and developed. These methods include; Image reconstruction by prioritized incremental normalized convolution, morphology-based crack detection for steel slabs, and adaptive morphology based on the local structure tensor. READ MORE