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Modeling Rat Bloodstream Behavior Using Fluorescence Imaging Techniques

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This research project, led by students Juho and Kirill under Professor Jarmo Alander, focuses on modeling the dynamics of rat bloodstream under artificial coronary thrombosis using fluorescence imaging data. The objective is to explore potential bypass solutions for individuals with compromised coronary vessels. The project spans over 20 weeks, consisting of theoretical familiarization, data investigation, iterative modeling, and culminating in a demonstration of the findings. Strategies for overcoming workload, data, and communication challenges have been identified, hoping to contribute valuable insights to the field.

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Modeling Rat Bloodstream Behavior Using Fluorescence Imaging Techniques

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  1. Project plan Modeling rat bloodstream using fluorescence imaging data

  2. Alander et al. (2012)

  3. The Research Project • Rats with artificialcoronarythrombosis • Chestbloodvessel to heartmuscle • Replacebypass for people with badcoronaryvessels?

  4. Team Students: Juho & Kirill Instructor: prof. JarmoAlander

  5. Structure of the work Weeks 3–5: Familiarization to the theory and methods and project planning. Weeks 6–7: Investigation on the data and selecting the methods. Weeks 8–14: Iterative modeling and testing. (week 9: midterm report)Weeks 15–19: Finishing up the modeling, preparing for the demo and documentation. Week 20: Demo. Week 21: Finishing up the documentation.

  6. Risks • Workload • Data • Communication

  7. References • Jarmo T. Alander, Ilkka Kaartinen, Aki Laakso, Tommi Pätilä, Thomas Spillmann, Valery V. Tuchin, Maarit Venermo, and Petri Välisuo. 2012. A review of indocyaninegreenfluorescentimaging in surgery. Journal of BiomedicalImaging 2012, Article 7 (January 2012), 1 pages. DOI=10.1155/2012/940585 http://dx.doi.org/10.1155/2012/940585 URL: http://dl.acm.org/citation.cfm?id=2336497&bnc=1 • Cyrus B. Amoozegar, Tracy Wang, Matthew B. Bouchard, Addason F. H. McCaslin, William S. Blaner, Richard M. Levenson and Elizabeth M. C. Hillman, "Dynamiccontrast-enhancedopticalimaging of in vivoorganfunction", Journal of BiomedicalOptics, 17(9)96003, 2012. URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3434471/pdf/JBO-017-096003.pdf • Elizabeth M. C. Hillman, Cyrus B. Amoozegar, Tracy Wang, Addason F. H. McCaslin, Matthew B. Bouchard, James Mansfield and Richard M. Levenson, "In vivoopticalimaging and dynamiccontrastmethods for biomedicalresearch", PhilosophicalTransactions of the Royal Society A, Mathematical, Physical & Engineering Sciences, 369(1955)4620-4643, 2011. DOI 10.1098/rsta.2011.0264 URL: http://rsta.royalsocietypublishing.org/content/369/1955/4620 • Taeyun Ku and ChulheeChoi, "Noninvasiveopticalmeasurement of cerebralbloodflow in miceusingmoleculardynamicsanalysis of indocyaninegreen", PLoS One, 7(10)e48383, 2012. URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3485229/ • RelevantWikipediaarticles • http://en.wikipedia.org/wiki/System_identification • http://en.wikipedia.org/wiki/Indocyanine_green • http://en.wikipedia.org/wiki/Fluorescence_image-guided_surgery

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