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Showing 1 to 10 of 10 for “"Multimodality Imaging"”.

  1. Multimodality imaging in colorectal cancer

    Contains fulltext : 132069.pdf (Publisher’s version ) (Open Access)

    radboud Repository record for Multimodality imaging in colorectal cancer (opens in a new tab)

  2. Multimodality Imaging of Tumor Vasculature and Metabolism

    … and metabolism have been identified as imaging biomarkers to detect tumor boundary, provide physiological information, predict treatment response and guide surgeries. In chapter 2, longitudinal MRI was applied to monitor the initiation and development of intracranial tumors and assess …

    utswmed Repository record for Multimodality Imaging of Tumor Vasculature and Metabolism (opens in a new tab)

  3. The preparation of lanthanide macrocyclic complexes for use as MRI and luminescence contrast agents

    Multimodality imaging agents have the potential to be detected in both MRI and optical imaging experiments allowing for visualisation of biological systems from the cellular level up to the whole body. Lanthanide complexes have shown great promise as components of compounds that can act as either …

    hull Repository record for The preparation of lanthanide macrocyclic complexes for use as MRI and luminescence contrast agents (opens in a new tab)

  4. The Development of Peptide Analogues as Potential Fluorescent and PET Imaging Probes.

    Molecular imaging is a non-invasive way to diagnose disease. Molecular imaging probes consist of a targeting entity that has a high affinity for a biological target and a signaling source for external detection. Multimodality imaging combines the advantages of different imaging modalities, at the …

    uwo Repository record for The Development of Peptide Analogues as Potential Fluorescent and PET Imaging Probes. (opens in a new tab)

  5. Three-dimensional, in-silico breast phantom for multimodality image simulations

    … to reconstructive surgical data and ultrasound imaging data. Intraglandular fat is simulated by randomly distributing and orienting adipose ellipsoids within a fibrous region immediately within the dermal layer. Cooper’s ligaments are simulated as fibrous ellipsoidal shells distributed within …

    uiuc Repository record for Three-dimensional, in-silico breast phantom for multimodality image simulations (opens in a new tab)

  6. Sensors and System Integration for Magnetic Resonance Image (MRI)-Guided and Robot-Assisted Interventions

    … of human tissues and organs using multimodality imaging approaches, (iv) for higher flexibility and accessibility to overcome lack of navigation and limited workspace inside the human body and the MRI scanner. This dissertation describes the development of several enabling …

    houston Repository record for Sensors and System Integration for Magnetic Resonance Image (MRI)-Guided and Robot-Assisted Interventions (opens in a new tab)

  7. Analysis of factors influencing early outcome following liver resection

    … of chemotherapy. Clinicians should consider multimodality imaging preoperatively, evaluate the role of preoperative MRI in the staging of colorectal liver metastases, and not use rate of growth of colorectal liver metastases as a predictor of poor outcome, Postoperative lactate should be used …

    plymouth Repository record for Analysis of factors influencing early outcome following liver resection (opens in a new tab)

  8. Spatial correlation tensor and query-augmented active clustering

    … how to detect the early breast cancer by multimodality imaging data, and how to do guide the machine to auto-label the dataset efficiently. In the first part, we classify multimodal imaging data by incorporating the pixel correlations. Multi-dimensional tensor data has gained increasing …

    uiuc Repository record for Spatial correlation tensor and query-augmented active clustering (opens in a new tab)

  9. Individualized learning and integration for multi-modality data

    … tensor learning with an application in medical imaging analysis. In the first part of the thesis, we develop a model-based subgrouping method for longitudinal data. Specifically, we propose an unbiased estimating equation approach for a two-component mixture model with correlated response data. …

    uiuc Repository record for Individualized learning and integration for multi-modality data (opens in a new tab)

  10. Photoacoustic Reporter Gene Imaging And Optical Coherence Computed Tomography

    Advances in imaging technologies have always been the major driving forces for the evolution of biomedical research. Compared with other modalities, optical imaging possesses several prominent merits. Because light interacts with tissue at the microscopic level through many distinct physical …

    wustl Repository record for Photoacoustic Reporter Gene Imaging And Optical Coherence Computed Tomography (opens in a new tab)