NII Shonan Meeting Report No. 167: Formalizing Biological and Medical Visualization

Information

  • Publication Type: Miscellaneous Publication
  • Workgroup(s)/Project(s):
  • Date: 2020
  • Note: ISSN 2186-7437
  • Open Access: yes
  • Number: TR-193-02-2020-1

Abstract

Medicine and biology are among the most important research fields, having a significant impact on humans and their health. For decades, these fields have been highly dependent on visualization—establishing a tight coupling which is crucial for the development of visualization techniques, designed exclusively for the disciplines of medicine and biology. These visualization techniques can be generalized by the term Biological and Medical Visualization—for short,BioMedical Visualization. BioMedical Visualization is not only an enabler for medical diagnosis and treatment, but also an influential component of today’s life science research. Many BioMedical domains can now be studied at various scales and dimensions, with different imaging modalities and simulations, and for a variety of purposes. Accordingly, BioMedical Visualization has also innumerable contributions in industrial applications. However, despite its proven scientific maturity and societal value, BioMedical Visualization is often treated within Computer Science as a mere application subdomain of the broader field of Visualization.To enable BioMedical Visualization to further thrive, it is important to formalize its characteristics independently from the general field of Visualization.Also, several lessons learnt within the context of BioMedical Visualization may be applicable and extensible to other application domains or to the parent field of Visualization. Formalization has become particularly urgent, with the latest advances of BioMedical Visualization—in particular, with respect to dealing with Big Data Visualization, e.g., for the visualization of multi-scale, multi-modal,cohort, or computational biology data. Rapid changes and new opportunities in the field, also regarding the incorporation of Artificial Intelligence with“human-in-the-loop” concepts within the field of Visual Analytics, compel further this formalization. By enabling the BioMedical Visualization community to have intensive discussions on the systematization of current knowledge, we can adequately prepare ourselves for future prospects and challenges, while also contributing to the broader Visualization community. During this 4-day seminar, which was the 150th NII Shonan meeting to be organized, we brought together 25 visualization experts from diverse institutions,backgrounds and expertise to discuss, identify, formalize, and document the specifics of our field. This has been a great opportunity to cover a range of relevant and contemporary topics, and as a systematic effort towards establishing better fundaments for the field and towards determining novel future challenges.In the upcoming sections of this report, we summarize the content of invited talks and of the eight main topics that were discussed within the working groups during the seminar.

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BibTeX

@misc{raidou_shonan167,
  title =      "NII Shonan Meeting Report No. 167: Formalizing Biological
               and Medical Visualization",
  author =     "Renata Raidou and Barbora Kozlikova and Johanna Beyer and
               Timo Ropinski and Issei Fujishiro",
  year =       "2020",
  abstract =   "Medicine and biology are among the most important research
               fields, having a significant impact on humans and their
               health.  For decades, these fields have been highly
               dependent on visualization—establishing a tight coupling
               which is crucial for the development of visualization
               techniques, designed exclusively for the disciplines of
               medicine and biology.  These visualization techniques can be
                generalized  by  the  term  Biological  and  Medical 
               Visualization—for  short,BioMedical Visualization. 
               BioMedical Visualization is not only an enabler for medical
               diagnosis and treatment, but also an influential component
               of today’s life science research.  Many BioMedical domains
               can now be studied at various scales and dimensions, with
               different imaging modalities and simulations, and for a
               variety of purposes.  Accordingly, BioMedical Visualization
               has also innumerable contributions in industrial
               applications.  However, despite its proven scientific
               maturity and societal value, BioMedical Visualization is
               often treated within Computer  Science  as  a  mere 
               application  subdomain  of  the  broader  field  of
               Visualization.To  enable  BioMedical  Visualization  to 
               further  thrive,  it  is  important  to formalize its
               characteristics independently from the general field of
               Visualization.Also, several lessons learnt within the
               context of BioMedical Visualization may be applicable and
               extensible to other application domains or to the parent
               field of Visualization.  Formalization has become
               particularly urgent, with the latest advances of BioMedical
               Visualization—in particular, with respect to dealing with
               Big Data Visualization, e.g., for the visualization of
               multi-scale, multi-modal,cohort, or computational biology
               data.  Rapid changes and new opportunities in  the  field, 
               also  regarding  the  incorporation  of  Artificial 
               Intelligence  with“human-in-the-loop” concepts within
               the field of Visual Analytics, compel further this
               formalization.  By enabling the BioMedical Visualization
               community to have intensive discussions on the
               systematization of current knowledge, we can adequately 
               prepare ourselves  for  future  prospects  and  challenges, 
               while  also contributing to the broader Visualization
               community. During this 4-day seminar, which was the 150th
               NII Shonan meeting to be organized, we brought together 25
               visualization experts from diverse institutions,backgrounds
               and expertise to discuss,  identify,  formalize,  and
               document the specifics of our field.  This has been a great
               opportunity to cover a range of relevant and contemporary
               topics, and as a systematic effort towards establishing
               better fundaments for the field and towards determining
               novel future challenges.In the upcoming sections of this
               report, we summarize the content of invited talks and of the
               eight main topics that were discussed within the working
               groups during the seminar.",
  month =      feb,
  note =       "ISSN 2186-7437",
  number =     "TR-193-02-2020-1",
  URL =        "/research/publications/2020/raidou_shonan167/",
}