Center for Quantification of Imaging Data
Felipe Delestro fima@dtu.dk
The Center for Quantification of Imaging Data from MAX IV
The Center for Quantification of Imaging Data from MAX IV
Sample
Projections
Detections
Image
Information
Publication
imaging
reconstruction
segmentation
quantification
interpretation
Sample
Projections
Detections
Image
Information
Publication
imaging
reconstruction
segmentation
quantification
interpretation
https://qim.dk/
Structure tensor
Repository:
In the context of volumetric (3D) image analysis, a structure tensor is a 3-by-3 matrix which summarizes orientation in a certain neighborhood around a certain point.
The general idea is to measure the orientation of the structures in the 3D volume
A symmetric positive semidefinite matrix that encodes the predominant orientation and the degree of anisotropy in an image window.
With slightly simplified notation:
where Ix and Iy denote partial derivatives, and Σw denotes weighted sum over some fixed windowing function.
Local thickness
Repository:
For an object in 3D, the local thickness at any point of the object is defined as the radius of the largest sphere which fits inside the object and contains the point
The general idea is to quantify the thickness of your structures in the 3D volume
For an object in 3D, the local thickness at any point of the object is defined as the radius of the largest sphere that fits within the object and contains the point.
The Qim center offers image analysis tools and provides access to the resources for utilizing them
The goal is to make them accessible to users with varying levels of expertise
Two main projects
Web platform
platform.qim.dk
Python library
qim3d
The qim3d
library focuses exclusively on volumetric image analysis
Qim3D command line interface
After pip install qim3d
, the user is able to use some of the functionalities by a simple CLI
qim3d gui --iso3d
qim3d gui --local-thickness
qim3d
- Graphical interfaces
- Visualization
- Image examples & download
- Input / Output
- Process functions
- Basic operations
- Advanced methods
- DL models
- Ease to build & train
- Pre-trained models
notebooks for tutorial:
pip install qim3d
pip install structure-tensor
ESRF User meeting 2024
By Felipe Delestro
ESRF User meeting 2024
- 142