Quantitative Biomedical Imaging: Techniques and Clinical Applications
1Louisiana State University, Baton Rouge, USA
2Pennington Biomedical Research Center, Baton Rouge, USA
3Johns Hopkins University, Baltimore, USA
4East China Normal University, Shanghai, China
5Kyushu University, Fukuoka, Japan
Quantitative Biomedical Imaging: Techniques and Clinical Applications
Description
For decades, cross-sectional biomedical images have been generated from various modalities, including computed tomography (CT), three-dimensional tomosynthesis, ultrasound, magnetic resonance imaging (MRI), single photon emission computed tomography (SPECT), and positron emission tomography (PET). Many advanced quantitative imaging methods have been developed, such as perfusion MRI/CT, dynamic PET, dynamic contrast enhanced MRI, diffusion tensor/weighted MRI, functional MRI (fMRI), ultrasound/MR elastography, and chemical exchange saturation transfer (CEST) MRI. Due to a great variability across imaging platforms, imaging techniques, postprocessing software, and imaging readers, there is an unmet need for improving the value and practicality of quantitative biomedical imaging.
Potential topics include, but are not limited to:
- A systematic investigation or review of a quantitative biomedical imaging method
- A cross system, site, vendor, platform, software, or reader comparison of a quantitative biomedical imaging method
- An assessment of the reproducibility and reliability of a quantitative biomedical imaging method
- A pathophysiological validation and computer simulation of a quantitative biomedical imaging method
- A physical and virtual phantom for quality check/assurance of a quantitative biomedical imaging method
- A computer-assisted analysis and diagnosis based upon one or multiparametric/modality imaging methods
- The development of a translational imaging method from preclinical to patient care
- Imaging-based big data and network for promoting hardware and software standards in quantitative biomedical imaging
- The development of novel quantitative biomedical imaging biomarkers for disease management