Bridging the gap between modeling of tumor growth and clinical imaging
Abdomen and Thoracic Imaging: An Engineering and Clinical Perspective, Page: 463-487
2014
- 1Citations
- 4Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Book Chapter Description
This chapter gives a brief overview of the biological processes involved in vascularized tumor growth, followed by a summary of recent mathematical modeling to simulate the biology of tumor growth and angiogenesis. It provides an overview of medical image analysis and describes recent efforts in the area of coupling such tumor models with imaging data. We do not discuss the research of obtaining tumor-specific information from medical imaging data, for which extensive work has been done in image processing and signal analysis. The chapter concludes with a sample simulation of vascularized tumor growth showing the critical role of vascularization in tumor invasiveness and highlighting the potential of gaining further insight into tumor behavior from a more expansive future integration of 3D tumor models with clinical imaging data.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84955658261&origin=inward; http://dx.doi.org/10.1007/978-1-4614-8498-1_18; https://link.springer.com/10.1007/978-1-4614-8498-1_18; https://dx.doi.org/10.1007/978-1-4614-8498-1_18; https://link.springer.com/chapter/10.1007/978-1-4614-8498-1_18
Springer Science and Business Media LLC
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know