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Cited by 188

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

MULTIMODALITY IN VIVO IMAGING SYSTEMS: Twice the Power or Double the Trouble?

Cherry, Simon R.·2006·Annual Review of Biomedical Engineering

Abstract

Many different types of radiation have been exploited to provide images of the structure and function of tissues inside a living subject. Each imaging modality is characterized by differing resolutions on the spatial and temporal scales, and by a different sensitivity for measuring properties related to morphology or function. Combinations of imaging modalities that integrate the strengths of two modalities, and at the same time eliminate one or more weaknesses of an individual modality, thus offer the prospect of improved diagnostics, therapeutic monitoring, and preclinical research using imaging approaches. This review discusses the advantages and challenges in developing multimodality imaging systems for in vivo use, highlights some successful combinations that are now routinely used in the clinic and in research, and discusses recent advances in multimodality instrumentation that may offer new opportunities for imaging.

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Crossref · 10.1146/annurev.bioeng.8.061505.095728

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Metadata

Authors
Cherry, S. R.
Venue
Annual Review of Biomedical Engineering
Published
2006-08-01
Volume
8
Issue
1
Pages
35-62
ISSN
  • 1523-9829 (ISSN-L)
  • 1545-4274
OpenAlex
W2150941474
Cited by
188
References
3
FWCI
1.31
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: MULTIMODALITY IN VIVO IMAGING SYSTEMS: Twice the Power or Double the Trouble? https://app.cochat.ai/papers/10.1146/annurev.bioeng.8.061505.095728
The paper
Cherry, S. R. (2006). MULTIMODALITY IN VIVO IMAGING SYSTEMS: Twice the Power or Double the Trouble? Annual Review of Biomedical Engineering. https://doi.org/10.1146/annurev.bioeng.8.061505.095728

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.