面向临床肿瘤诊疗决策的多模态医学影像融合

doi:10.3969/j.issn.0258-8021.2013.03.014

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Abstract Malignant tumors are threatening human health seriously. Early diagnosis and effective treatment can reduce the mortality rate. Taking advantage of in-vivo and non-invasive measurements, modern biomedical imaging is able to provide tumor diagnosis and treatment with massive valuable information on both structure and function. However, cancer is a multi-factorial and development disorder, meanwhile each modality of imaging owns its drawback and limitations. Therefore, it is hardly to elucidate the tumor′s intrinsic mechanism and developing process via a single-modality image acquisition. Multi-modal medical image fusion, which can realize the information complement and cross-validation, is considered to be the promising choice. In this review, after analyzing the characteristics of each imaging technique, the stateoftheart of registration, image fusion methods and their clinic applications are reviewed, and then the available problems and potential future direction are discussed.

Key words： multi-modal medical imaging information fusion clinic decision analysis tumor diagnosis and treatment

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	QI Shou Liang¹YUE Yong²XIN Jun²KANG Yan^1*

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QI Shou Liang¹YUE Yong²XIN Jun²KANG Yan^1*. Fusion of Multi-Modality Medical Imaging Information for Clinical Decision in Tumor Diagnosis and Treatment[J]. journal1, 2013, 32(3): 356-362.

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http://cjbme.csbme.org/EN/10.3969/j.issn.0258-8021.2013.03.014 OR http://cjbme.csbme.org/EN/Y2013/V32/I3/356

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