Sökning: "Anatomical brain atlas"
Visar resultat 1 - 5 av 6 uppsatser innehållade orden Anatomical brain atlas.
Sammanfattning : Purpose: The purpose of this work was to find out how the existing brain atlases and segmentation algorithms perform when applied to ultrahigh-resolution MR brain images, acquired with a 7-Tesla scanner. Also to make adaptations to deal with the potential challenges and evaluate the quality of the anatomical segmentations of the 7-Tesla images. LÄS MER
2. Characterization of discrepancies between manual and automatic segmentation to improve anatomical brain atlasesMaster-uppsats,
Sammanfattning : Purpose: To characterize discrepancies between expert manually segmented brain images fromHammers Atlas Database and automatically generated segmentations of the same images; to decide whether they can be attributed to flaws in the automatic segmentation or in the manual segmentation; and to determine general rules that enable these decisions.Theory: Image segmentation plays an important role in clinical neuroscience and experimental medicine for extraction of information from medical images, and it is a fundamental image processing step in medical image analysis. LÄS MER
Sammanfattning : The purpose of this study was to quantitatively and qualitatively compare the two brain atlases databases, Hammersmith and 2012 MICCAI Multi-Atlas Labelling Challenge data, by developing a quantitative method.TheoryAnatomical atlases of the human brain provide reference information about its structure. LÄS MER
- Uppsats för yrkesexamina på avancerad nivå, Högskolan i Halmstad/Akademin för informationsteknologi
Sammanfattning : Alzheimer’s Disease (AD) is a widespread neurodegenerative disease. The disease causes brain atrophy, resulting in memory loss, decreased cognitive ability, and eventually death. There is currently no cure for the disease, but treatment may delay the onset. Therefore, it is crucial to detect the disease at an early stage. LÄS MER
- Master-uppsats, Lunds universitet/Matematik LTH
Sammanfattning : Registration is a key component in multi-atlas approaches to medical image segmentation. Current state-of-the-art uses intensity-based registration methods, but such methods tend to be slow and sensitive to large amount of noise and anatomical abnormalities present in medical images. LÄS MER