Development of an imaging-based method for fibrosis localization and quantification in the heart with atrial fibrillation.
Sub-activity T1.1. Development of MRI protocol for image acquisition with the investigation of 10 healthy volunteers and 10 patients with persistent atrial fibrillation.
Sub-activity T1.2. Image processing and method development for fibrosis localization and quantification.
Sub-activity T1.3. Patient data analysis and evaluation of diagnostic protocol.
- Protocol optimized for regular acquisition of MRI images
- Functional software prototype for image segmentation
- Document with description of the imATFIB software architecture
- Published papers:
Authors: A.I. Marinescu, Z. Balint, L. Diosan, A. Andreica
Conference: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2018), April 25–27, 2018, Brugges, Belgium.
- Scientific publications in review:
- Title: GPUAccelerated Heart Segmentation
Authors: A. Andreica, Z. Bálint, L. Diosan, A.I. Marinescu
Conference: International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC 2017), September 21–24, 2017, The West University of Timișoara, Timișoara, Romania.
- Title: Autonomous 3D segmentation of MRI images based on Grow Cut
Authors: A.I. Marinescu, Z. Bálint, S. Manole, L. Diosan, A. Andreica
Manuscript sent for the Multi-Modality Whole Heart Segmentation Challenge 2017.
- Title: Applications of Cellular Automata to Medical Image Segmentation
Author: A.I. Marinescu
Scientific presentation at the international summer school Doctoral Intensive Summer School on Evolutionary Computing in Optimization and Data Mining (ECODAM 2017); June 19–22, 2017, Iași, Romania.
Authors: Alexandru-Ion Marinescu, Zoltán Bálint, Laura Diosan and Anca Andreica
Conferință: 20th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing – SYNASC 2018, September 20-23, 2018, Timișoara, Romania