Reconstruction and Analysis of Moving Body Organs (RAMBO) 2018
The 3rd international workshop on Reconstruction and Analysis of Moving Body Organs will be held in conjunction with the 21th International Conference on Medical Image Computing and Computer Assisted Intervention 2018 in Granada, Spain on 16 September 2018.
This workshop targets researchers for whom the effects of motion are critical in image analysis or visualisation. By inviting contributions across all application areas we aim to bring together ideas from different fields without being confined to a particular methodology. In particular, the move from model-based to learning-based methods of modelling over recent years has resulted in increased transferability of techniques between domains. RAMBO provides a forum for the dissemination and discussion of novel developments related to dealing with, and taking advantage of, motion in medical imaging.
Workshop date: 16 September 2018 pm
Location: Granada, Spain
Advanced imaging and image analysis in fetal medicine
The talk will be focused on the impact of the application of advanced imaging and image analysis in fetal medicine. In the last decades, fetal medicine has evolved from exclusively using ultrasound to study fetal structures to the application of other imaging modalities. Diffusion and functional MRI, brain sulcation development, and brain spectroscopy among others have been used to demonstrate the effects of prenatal conditions on fetal brain development, improving knowledge in the origin of neurodevelopmental disorders and offering the opportunity to develop imaging biomarkers of altered neurodevelopment.
Elisenda Eixarch is a specialist in Maternal-Fetal Medicine in Hospital Clinic of Barcelona and a post-doctoral researcher at Fetal i+D Fetal Medicine Research Center. She obtained her degree in Medicine in Universitat Autonoma de Barcelona and her specialty in Obstetrics and Gynaecology and her PhD in Universitat de Barcelona. She has focused her investigation on the effects of fetal conditions on brain development in both clinical and basic research. Elisenda has worked on the application of connectomic analysis of structural and functional brain networks in high-risk populations. She is currently working on the assessment of brain sulcation by means of ultrasound and fetal MRI in fetuses with brain anomalies. She also is a fetal surgeon and is co-PI in a research project developing technological improvements for fetal surgery.
Personalized Blood Flow Simulation from an Image-Derived Model: Changing the Paradigm for Cardiovascular Diagnostics
Coronary heart disease is the leading cause of mortality worldwide, accounting for 1/3 of all global deaths. Treatment of stable coronary heart disease is typically performed by medication/lifestyle for a lower disease burden or PCI (stenting) for a greater disease burden. The choice between these treatments is best determined by an invasive diagnostic test that measures blood flow through a diseased area. Unfortunately, this invasive diagnostic test is expensive, dangerous and usually finds a lower disease burden. We are working to change the diagnostics paradigm with blood flow simulation in a personalized heart model that is derived from cardiac CT angiography images. This simulation-based diagnostic is the first clinically available diagnostic that utilizes personalized simulation and is much safer and more comfortable for the patient as well as less expensive. Our diagnostic depends on a hyperaccurate image segmentation of the coronary arteries, physiological modeling and accurate computational fluid dynamics. In this talk I will discuss the algorithms that drive this technology, the machine learning that we’re doing with our database of segmented images and personalized hemodynamics, and the successful clinical trials that have proven the diagnostic accuracy and benefit to patients.
Dr. Grady has over 15 years of experience in creating advanced medical imaging and machine learning-based software. Prior to joining HeartFlow, he worked at Siemens in the Corporate Research division focused on developing software for advanced imaging analytics and computer vision. In this role he created and led the development of innovative software products to extract complex information from a wide variety of medical imaging modalities, with a particular focus on cardiovascular and oncology applications. He is internationally recognized for his work on advanced algorithms for medical imaging, image segmentation, graph theory, computer vision and machine learning. Dr. Grady is a Fellow of the American Institute of Medical and Biomedical Engineers who has published two books, over 100 peer-reviewed journal and conference papers and has over 300 issued or pending patents worldwide.
We invite submissions on any aspect of medical imaging where motion plays a role in the image formation or analysis. Topics include, but are not limited to:
- Cardiac, respiratory, fetal, colon, fMRI, interventional applications
- Motion modelling (including methods to learn motion)
- Time series analysis
- Image registration
- Image segmentation / classification
- Real-time applications
- Machine learning methods
- Image reconstruction
- Image enhancement (e.g. super-resolution, denoising)
- Compressed sensing / accelerated imaging