Calculating patient similarity based on respiration induced tumor motion

Rittika Shamsuddin, Arvind Balasubramanian, Amit Sawant, Balakrishnan Prabhakaran

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

In stereo tactic radiotherapy for thoracic and abdominal tumors, respiratory motion management is crucial for improving efficacy of treatment, while minimizing risk to heathy tissue and organs. Since tumor motion exhibits dynamic variation in characteristics, analyzing the behavior distribution of tumor motion can improve treatment planning. Identifying similarities among patients is an intuitive step towards patient profiling for optimal treatment strategy. This paper investigates how patients, undergoing radiotherapy, can be clustered into five treatment groups, which are identified by medical physicists. And in order to do so, we propose a combination of an adaptive segmentation technique and couple it with a set wise clustering approach for measuring similarity between patients. Our methods aim to group the patients solely based on their tumor motion traces brought about by respiration. Through a series of empirical and statistical analyses, we explore the impact of different feature sets and processing methodologies on the proposed patient grouping approach.

Original languageEnglish (US)
Title of host publicationProceedings - 2015 IEEE International Conference on Healthcare Informatics, ICHI 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages122-129
Number of pages8
ISBN (Print)9781467395489
DOIs
Publication statusPublished - Dec 8 2015
Event3rd IEEE International Conference on Healthcare Informatics, ICHI 2015 - Dallas, United States
Duration: Oct 21 2015Oct 23 2015

Other

Other3rd IEEE International Conference on Healthcare Informatics, ICHI 2015
CountryUnited States
CityDallas
Period10/21/1510/23/15

    Fingerprint

Keywords

  • Data mining
  • Setwise clustering
  • Variable length segmentation

ASJC Scopus subject areas

  • Health Informatics

Cite this

Shamsuddin, R., Balasubramanian, A., Sawant, A., & Prabhakaran, B. (2015). Calculating patient similarity based on respiration induced tumor motion. In Proceedings - 2015 IEEE International Conference on Healthcare Informatics, ICHI 2015 (pp. 122-129). [7349683] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICHI.2015.22