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overview Dr. Chen's research interests, primarily in integrative multi-modality molecular imaging, cover a broad spectrum of imaging-centered topics including imaging physics and instrumentation, image reconstruction and processing, imaging tracers and probes development, physiological modeling, quantitative and intelligent image analysis, as well as applications of molecular imaging methods in a wide spectrum of biological and medical investigations, especially in cancer, brain disorders, cardiopulmonary diseases, and diabetes.
One or more keywords matched the following items that are connected to Chen, Chin-Tu
Item TypeName
Concept Breast Neoplasms
Concept Carcinoma, Non-Small-Cell Lung
Concept Colonic Polyps
Concept Demyelinating Diseases
Concept Glioblastoma
Concept Fibrosarcoma
Concept Lung Neoplasms
Concept Precancerous Conditions
Concept Pulmonary Wedge Pressure
Concept Radiation Injuries
Concept Osteosarcoma
Concept Hypertension, Pulmonary
Concept Radiation Pneumonitis
Concept Carcinoma, Lewis Lung
Concept Neoplasm Metastasis
Concept Colorectal Neoplasms
Concept Brain Neoplasms
Concept Disease Models, Animal
Concept Neoplasm Invasiveness
Concept Optic Atrophy, Autosomal Dominant
Concept Lung Injury
Academic Article Nanoparticle-programmed self-destructive neural stem cells for glioblastoma targeting and therapy.
Academic Article Dynamic In Vivo SPECT Imaging of Neural Stem Cells Functionalized with Radiolabeled Nanoparticles for Tracking of Glioblastoma.
Academic Article Development of a PET radioligand for potassium channels to image CNS demyelination.
Concept Familial Primary Pulmonary Hypertension
Grant Integrating Preclinical and Translational Imaging Resources for Animal Research
Grant PET imaging of a4b2 nicotinic receptor upregulation and smoking cessation
Grant DETECTABILITY IN BRAIN ACTIVATION STUDIES
Grant An MR-Compatible Small Animal SPECT Based on Artifical Compound Eye Cameras
Grant Hybrid MicroSPECT/MicroCT for Quantitative Imaging
Grant Spatial and Temporal Tracking of Neural Stem Cells Migration to Brain Metastases of Breast Cancer using High Resolution Imaging
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