Medical image computing for oncology: Review and clinical examples

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Medical imaging has been widely used in clinical and preclinical assessment of cancer. This chapter describes the techniques and components of medical image computing for oncological applications and introduces two representative applications of medical image computing in cancer. First, image computing tools such as volumetric MRI brain image segmentation are presented for computer-aided diagnosis and follow-up of glioblastoma multiforme (GBM) treatment. Then, using PET/CT imaging, quantitative monitoring of patients undergoing adoptive cytotoxic T lymphocytes (CTL) therapy is described. In addition, we also discuss that the trend in this area is to integrate microscopy imaging that captures cellular and tissue-level morphometry and molecular activities with medical images of organ and tissue-level properties to help better diagnose, subtype, and quantify the formulation, progression, and mechanisms of cancers.

Original languageEnglish (US)
Title of host publicationFunctional Imaging in Oncology
Subtitle of host publicationBiophysical Basis and Technical Approaches - Volume 1
PublisherSpringer Berlin Heidelberg
Pages97-124
Number of pages28
ISBN (Electronic)9783642404122
ISBN (Print)9783642404115
DOIs
StatePublished - Jan 1 2014

ASJC Scopus subject areas

  • Medicine(all)
  • Biochemistry, Genetics and Molecular Biology(all)

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