Ingela Nyström's Research
Quantitative Shape Analysis of Digital Volume Images
Current PhD students:
Previous students:
- Stina Svensson, PhD, 2001-11-23 (assistant supervisor)
Title: Representing and Analysing 3D Digital Shape Using Distance Information
- Joakim Lindblad, PhD, 2003-01-17 (assistant supervisor)
Title: Development of Algorithms for Digital Image Cytometry
- Ida-Maria Sintorn, PhD, 2005-04-01 (assistant supervisor)
Title: Segmentation Methods and Shape Descriptions in Digital Images - Applications in 2D and 3D Microscopy
- Nataša Sladoje, PhD, 2005-11-25 (assistant supervisor)
Title: On Analysis of Discrete Spatial Fuzzy Sets in 2 and 3 Dimensions
* One of two Swedish candidate theses nominated for "Best Nordic Thesis 2005-2006 Award in Pattern Recognition"
* "Benzelius Prize for Mathematics and Physics for 2007" from The Royal Society of Sciences in Uppsala, Sweden
- Erik Vidholm, PhD, 2008-02-08
Title: Visualization and Haptics for Interactive Medical Image Analysis
- Filip Malmberg, PhD, 2011-05-06
Title: Graph-based Methods for Interactive Image Segmentation
- Emma Lindqvist, Fil. lic., 1999-09-03 (assistant supervisor)
Title: Automatic and Interactive Information Extraction from Hyperspectral Imagery
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Suthakar Somaskandan, SIDA project Sep 2004 - Feb 2008
Interactive Exploration of Medical Images for Visualization on Standard PC hardware
Collaboration partners:
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Professor Gunilla Borgefors
Centre for Image Analysis
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Dr. Gabriella Sanniti di Baja
Istituto di Cibernetica,
National Research Council of Italy (CNR), Pozzuoli (Napoli), Italy
Dr. Sanniti di Baja promoted as honorary doctor at Uppsala University, 2002
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Professor Örjan Smedby
Dept. of Radiology, University Hospital, Linköping
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Dr. Stina Svensson
Centre for Image Analysis
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Professor Jayaram K. Udupa
Medical Image Processing Group, Dept. of Radiology, University of Pennsylvania, Philadelphia, USA
Previous projects:
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Area of and Volume Enclosed by Digital and Triangulated Surfaces
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Skeletonization applied to magnetic resonance angiography images.
Left: Maximum intensity projection of an MRA image of the arteries of the pelvis.
Right: The corresponding (pruned) curve skeleton of the segmented blood vessels.

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Reducing objects to "skeletons" in the process of quantifying its shape.
Toriwaki/Katada hand.

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Filling concavities for quantifying the shape of an object.

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Different applications for the distance transform.
Above the 3-4-5 sphere.