TY - JOUR
T1 - Challenges in image-guided therapy system design
AU - DiMaio, Simon
AU - Kapur, Tina
AU - Cleary, Kevin
AU - Aylward, Stephen
AU - Kazanzides, Peter
AU - Vosburgh, Kirby
AU - Ellis, Randy
AU - Duncan, James
AU - Farahani, Keyvan
AU - Lemke, Heinz
AU - Peters, Terry
AU - Lorensen, William (Bill)
AU - Gobbi, David
AU - Haller, John
AU - Clarke, Laurence (Larry)
AU - Pizer, Stephen
AU - Taylor, Russell
AU - Galloway, Robert
AU - Fichtinger, Gabor
AU - Hata, Nobuhiko
AU - Lawson, Kimberly
AU - Tempany, Clare
AU - Kikinis, Ron
AU - Jolesz, Ferenc
PY - 2007
Y1 - 2007
N2 - System development for image-guided therapy (IGT), or image-guided interventions (IGI), continues to be an area of active interest across academic and industry groups. This is an emerging field that is growing rapidly: major academic institutions and medical device manufacturers have produced IGT technologies that are in routine clinical use, dozens of high-impact publications are published in well regarded journals each year, and several small companies have successfully commercialized sophisticated IGT systems. In meetings between IGT investigators over the last two years, a consensus has emerged that several key areas must be addressed collaboratively by the community to reach the next level of impact and efficiency in IGT research and development to improve patient care. These meetings culminated in a two-day workshop that brought together several academic and industrial leaders in the field today. The goals of the workshop were to identify gaps in the engineering infrastructure available to IGT researchers, develop the role of research funding agencies and the recently established US-based National Center for Image Guided Therapy (NCIGT), and ultimately to facilitate the transfer of technology among research centers that are sponsored by the National Institutes of Health (NIH). Workshop discussions spanned many of the current challenges in the development and deployment of new IGT systems. Key challenges were identified in a number of areas, including: validation standards; workflows, use-cases, and application requirements; component reusability; and device interface standards. This report elaborates on these key points and proposes research challenges that are to be addressed by a joint effort between academic, industry, and NIH participants.
AB - System development for image-guided therapy (IGT), or image-guided interventions (IGI), continues to be an area of active interest across academic and industry groups. This is an emerging field that is growing rapidly: major academic institutions and medical device manufacturers have produced IGT technologies that are in routine clinical use, dozens of high-impact publications are published in well regarded journals each year, and several small companies have successfully commercialized sophisticated IGT systems. In meetings between IGT investigators over the last two years, a consensus has emerged that several key areas must be addressed collaboratively by the community to reach the next level of impact and efficiency in IGT research and development to improve patient care. These meetings culminated in a two-day workshop that brought together several academic and industrial leaders in the field today. The goals of the workshop were to identify gaps in the engineering infrastructure available to IGT researchers, develop the role of research funding agencies and the recently established US-based National Center for Image Guided Therapy (NCIGT), and ultimately to facilitate the transfer of technology among research centers that are sponsored by the National Institutes of Health (NIH). Workshop discussions spanned many of the current challenges in the development and deployment of new IGT systems. Key challenges were identified in a number of areas, including: validation standards; workflows, use-cases, and application requirements; component reusability; and device interface standards. This report elaborates on these key points and proposes research challenges that are to be addressed by a joint effort between academic, industry, and NIH participants.
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U2 - 10.1016/j.neuroimage.2007.04.026
DO - 10.1016/j.neuroimage.2007.04.026
M3 - Article
C2 - 17644360
AN - SCOPUS:34547796984
SN - 1053-8119
VL - 37
SP - S144-S151
JO - NeuroImage
JF - NeuroImage
IS - SUPPL. 1
ER -