Medical image analysis and processing
From image to quantitative information
We develop software and algorithms to process medical images, identify anatomical structures, extract measurements, and transform diagnostic datasets into usable information for clinical, research, and medical device applications.
From traditional image processing to artificial intelligence models, we design complete pipelines integrated into the software workflow.
Medical imaging analysis
Beyond Visualization
Extract information from medical data
A diagnostic image doesn’t just contain something to observe.
It can be processed to identify structures, separate anatomical regions, make measurements, compare different acquisitions, or produce new representations useful for analysis.
We develop tools that transform these calculations into functionalities that can actually be used within the application.
What we develop
Image Processing
Pipeline for preprocessing, filtering, enhancement, normalization, transformations, and manipulation of images and medical datasets.
Segmentation
Automatic, semi-automatic, and manual tools for identifying anatomical structures, lesions, and regions of interest.
Quantitative Imaging
Extraction of geometric and quantitative measurements from images, segmentations and three-dimensional reconstructions.
Registration & Data Alignment
Alignment and correlation between different images, series, acquisitions, or datasets to allow comparison and combined analysis.
Applications
Clinical Planning
Anatomical analysis, segmentation, centerline, measurements, and reconstructions to support procedure planning.
Diagnostic & Quantitative Imaging
Tools to extract quantitative information and support the analysis of diagnostic images.
Medical Devices & Specialized Software
Algorithms and pipelines integrated directly into medical software and devices.
Research & Algorithm Validation
Applications for testing, comparing, and validating algorithms on medical datasets, while maintaining tools for visualizing and reviewing results.
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