Sökning: "Atlas-based segmentation"

Visar resultat 1 - 5 av 12 uppsatser innehållade orden Atlas-based segmentation.

1. 1. Volumetric Image Segmentation of Lizard Brains

   Master-uppsats, KTH/Tillämpad fysik

   Författare :Yulia Dragunova; [2023]
   Nyckelord :image segmentation; deep learning; atlas; lizard brain; micro-CT; image augmentation; bild segmentering; djupinlärning; atlas; ödelhjärna; mikro-datortomagrofi; datautökning;

   Sammanfattning : Accurate measurement brain region volumes are important in studying brain plasticity, which brings insight into the fundamental mechanisms in animal, memory, cognitive, and behavior research. The traditional methods of brain volume measurements are ellipsoid or histology. LÄS MER

3. 2. ATLAS-BASED SEGMENTATION OF ULTRAHIGH-RESOLUTION STRUCTURAL MR HEAD IMAGES ACQUIRED AT 7 TESLA

   Master-uppsats,

   Författare :Frida Johansson; [2022-01-13]
   Nyckelord :Medical physics; Anatomical segmentation; Brain; MRI; 7 Tesla; Pincram; MAPER; Shape based averaging; Ultrahigh resolution;

   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

4. 3. Using Deep Learning to SegmentCardiovascular 4D Flow MRI : 3D U-Net for cardiovascular 4D flow MRI segmentation and Bayesian 3D U-Net for uncertainty estimation

   Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

   Författare :Omkar Bhutra; [2021]
   Nyckelord :Convolutional Neural Networks; 4D flow MRI; 3D U-Net; Cardiovascularimage segmentation; Uncertainty estimation; Bayesian 3D U-Net;

   Sammanfattning : Deep convolutional neural networks (CNN’s) have achieved state-of-the-art accuraciesfor multi-class segmentation in biomedical image science. In this thesis, A 3D U-Net isused to segment 4D flow Magnetic Resonance Images that include the heart and its largevessels. LÄS MER

5. 4. Similarity models for atlas-based segmentation of whole-body MRI volumes

   Master-uppsats, Linköpings universitet/Institutionen för medicinsk teknik

   Författare :Elin Axberg; Ida Klerstad; [2020]
   Nyckelord :Atlas-based segmentation; image registration; image similarity measures;

   Sammanfattning : In order to analyse body composition of MRI (Magnetic Resonance Imaging) volumes, atlas-based segmentation is often used to retrieve information from specific organs or anatomical regions. The method behind this technique is to use an already segmented image volume, an atlas, to segment a target image volume by registering the volumes to each other. LÄS MER

7. 5. Evaluating Segmentation of MR Volumes Using Predictive Models and Machine Learning

   Master-uppsats, Linköpings universitet/Institutionen för medicinsk teknik

   Författare :Simon Kantedal; [2020]
   Nyckelord :mr; magnetic resonance; machine learning; ai; artificial intelligence; predictive models; regression;

   Sammanfattning : A reliable evaluation system is essential for every automatic process. While techniques for automatic segmentation of images have been extensively researched in recent years, evaluation of the same has not received an equal amount of attention. LÄS MER