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SIVIC is an open-source, standards-based software framework and application suite for processing and visualization of DICOM MR Spectroscopy data. Through the use of DICOM, SIVIC aims to facilitate the application of MRS in medical imaging studies.
The multiple inert gas elimination technique (MIGET)
The multiple inert gas elimination technique (MIGET) was developed in the 1970s to measure the pulmonary exchange of a set of six different inert gases dissolved together in saline (or dextrose) and infused intravenously. It then uses those measurements to compute the distribution of ventilation/perfusion ratios that best explains the exchange of the six gases simultaneously. MIGET is based on the very same mass-conservation principles underlying the classic work of Rahn and Fenn and of Riley...
We have developed a robust and efficient framework to accurately estimate the perfusion parameters at low radiation dosage. Specifically, we present a tensor total-variation (TTV) technique which fuses the spatial correlation of the vascular structure and the temporal continuation of the blood signal flow. An efficient algorithm is proposed to find the solution with fast convergence and reduced computational complexity.
BigQuery is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.
BigQuery Studio provides a single, unified interface for all data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use. It also allows you to use simple SQL to access Vertex AI foundational models directly inside BigQuery for text processing tasks, such as sentiment analysis, entity extraction, and many more without having to deal with specialized models.
Integrative computational model of oxygen transport and utilization
This integrative computational model of O2 transport and utilization offers the potential for estimating the maximal rate of O2 uptake (VO2max) and alveolar, systemic arterial, venous and mitochondrial PO2 values.
For further details, please see http://www.ncbi.nlm.nih.gov/pubmed/25640017.
This project uses neural networks to diagnose presence of coronary artery disease from myocardial perfusion scintigraphies. The input is stress and rest polar maps from ECToolBox nuclear cardiac processing software (we used GE Entegra workstations).
The AMC Postprocessing Package is a program developed at the Academic Medical Center in Amsterdam. It allows readings and writing of the DICOM format, and also supports the Analyze format. Currently, perfusion and fMRI analysis are implemented.