Medical image computing for oncology: Review and clinical examples

Zhong Xue; Stephen T.C. Wong

doi:10.1007/978-3-642-40412-2_6

Medical image computing for oncology: Review and clinical examples

Research output: Chapter in Book/Report/Conference proceeding › Chapter

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 language	English (US)
Title of host publication	Functional Imaging in Oncology
Subtitle of host publication	Biophysical Basis and Technical Approaches - Volume 1
Publisher	Springer Berlin Heidelberg
Pages	97-124
Number of pages	28
ISBN (Electronic)	9783642404122
ISBN (Print)	9783642404115
DOIs	https://doi.org/10.1007/978-3-642-40412-2_6
State	Published - Jan 1 2014

ASJC Scopus subject areas

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

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10.1007/978-3-642-40412-2_6

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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.",

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Medical image computing for oncology: Review and clinical examples

Abstract

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