Essays about: "abdominal mri"

Showing result 1 - 5 of 6 essays containing the words abdominal mri.

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

    University essay from Linköpings universitet/Institutionen för medicinsk teknik

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

    Abstract : 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. READ MORE

  3. 2. Multi-Modal Learning for Abdominal Organ Segmentation

    University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Author : Shruti Atul Mali; [2020]
    Keywords : Deep learning; multi-modal learning; medical imaging; image segmentation; abdominal organs; liver; kidneys; spleen; CT; MR; 3D-Unet;

    Abstract : Deep Learning techniques are widely used across various medical imaging applications. However, they are often fine-tuned for a specific modality and are not generalizable when it comes to new modalities or datasets. One of the main reasons for this is large data variations for e.g. READ MORE

  4. 3. Automated Liver Segmentation from MR-Images Using Neural Networks

    University essay from Linköpings universitet/Avdelningen för radiologiska vetenskaper; Linköpings universitet/Centrum för medicinsk bildvetenskap och visualisering, CMIV

    Author : Shaikh Faisal Zaman; [2019]
    Keywords : liver segmentation; neural network; mri; mr images; segmentation; unet; deep learning; image processing; abdominal mri; leversegmentering; mr bilder; neurala nätverk; segmentering;

    Abstract : Liver segmentation is a cumbersome task when done manually, often consuming quality time of radiologists. Use of automation in such clinical task is fundamental and the subject of most modern research. READ MORE

  5. 4. Automatic Detection of Anatomical Landmarks in Three-Dimensional MRI

    University essay from Linköpings universitet/Datorseende

    Author : Hannes Järrendahl; [2016]
    Keywords : Quantitative 3D MRI; Machine learning; Medical image processing; Morphon image registration; 3D Haar features; Random regression forests;

    Abstract : Detection and positioning of anatomical landmarks, also called points of interest(POI), is often a concept of interest in medical image processing. Different measures or automatic image analyzes are often directly based upon positions of such points, e.g. in organ segmentation or tissue quantification. READ MORE

  6. 5. Interactive segmentation of abdominal organs from 3D CT and MRI images

    University essay from Institutionen för teknik och naturvetenskap; Tekniska högskolan

    Author : Olof Hansson; [2010]
    Keywords : ;

    Abstract : Within the medical field, image segmentation is an important tool which can be used by radiologists and surgeons who want quantitative measurements of a lesion or organ. To be clinically useful, the tool has to be fast and easy to use. READ MORE