Medical Imaging Informatics
This blog provides information on conferences and novelties in the area of Medical Imaging Informatics (MII). MII has a broad scope ranging from the Radiology Information System and Picture Archiving and Communication System (PACS) to Advanced Visualization and Computer Aided Diagnosis (CAD). To find new opportunities in healthcare we need to look at informatics solutions in other areas to apply them into the medical field to achieve higher level healthcare at lower costs.
Tuesday, November 21, 2017
Thursday, February 4, 2016
Tuesday, November 17, 2015
Tuesday, September 15, 2015
Friday, September 11, 2015
Thursday, August 20, 2015
Wednesday, June 17, 2015
Friday, March 6, 2015
ECR 2015 - personalized medicine in radiology
A. Imaging is everywhere in personalized medicine - van der Lugt
B. Personalized prevention: population-based imaging and image-based screening - Bamberg
C. Integrated diagnostics: towards one diagnostic department - Cuocolo
D. Interventional radiology: a paradigm for personalized medicine - Goldberg
Personalized or Precision medicine is the classification of individuals into subpopulations to optimize treatment. Imaging plays an important role in this classification. Furthermore, imaging can also be applied to evaluate treatment response in order to allow early correction of treatment if needed.
The ESR will in the coming weeks publish a whitepaper on the role of imaging in personalized medicine.
In case of imaging, the right imaging modality and protocol should be determined for a specific patient. ESR iGuide is developed to help clinicians to select the right modality for a specific question.
Thursday, March 5, 2015
ECR 2015 - Imaging Biobanks
A. The biobanks: genomic, moleculomic and proteomic - which link to radiomics? - M. Borra
B. Radiomic: report from the ESR WG on Imaging Biobanks. - H.U. Kauczor
C. Existing imaging biobanks. - A. Jackson
D. Extraction and analysis of biomarkers from medical images. - B. Gibaud
One of the main challenges is in the standardization of imaging and postprocessing protocols. This also requires more automatic postprocessing tools. Validation, standardization and integration are the keywords in the developement of imaging biobanks.
Most current imaging biobanks are for research and clinical reference and disease oriented. The number of cases is extremely variable but mainly less then 1000 with mostly CT and MR images and restricted to a specific group of researchers.
One of the first real imaging biobanks is the UK biobank imaging initiative. They started data collection in 2014. Three dedicated imaging centers will be established scanning 21 pts per day to reach the planned participants in the coming six years. A full workup takes four hours for the volunteers in which a number of imaging exams are done.
Imaging Biomarkers play an important role in imaging biobanks. They can be measurable quantities, measurements instruments, and decision support instruments. Again, standardization and validation are crucial to establish proper imaging biomarkers. Imaging biomarkers should be ontology based (e.g. QIBO, BiomRKRS) but the current ontologies for imaging biomarkers are not yet applicable widely and development of a proper ontology is required. Using the ontologies the implementeration of integrated federated queries to multiple databass is feasible.
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