The goal of Core 0 is to provide strong and consistent support for all aspects of image analysis, processing and management for the research projects and cores. A common theme that spans all the research projects is to investigate the use of anatomic, physiological and metabolic imaging and other data to guide individualized patient treatments. Projects 1 and 2 will collect a variety of images,, including GT, anatomic and physiological MRI, FDG and 110 MET PET, and hepatic function and lung ventilation and perfusion SPECT, for brain, head and neck, liver and lung prior to, during and after treatment for individualized adpative treatment. Project 3 will develop and investigate methods to determine image-based indicators for assessment of outcomes and relate them to patterns of failure. Project 4, which aims to develop and investigate response-driven, knowledge-based decision support for adaptive plan optimization, will take the processed image data as inputs for decision making support. Although each project has a specific plan to use these images, they all share a common set of needs. Core G will provide service support for the needs of image analysis, processing and management.
Our specific aims are to 1) provide a shared infrastructure and software tools for supporting quantitative image analysis, processing, visualization and management, as well as for facilitating image data flow (input and output) between the treatment planning system, image PACS and image analysis system (FIAT);2)provide service support for image analysis, processing and modeling for all projects;and 3) provide support for image retrieval, storage and management for all projects. In-house software tools (Functional Image Analysis Tools(FIAT) and deformable image registration tools) will be further enhanced to provide support for image registration, pre-processing for noise and artifact reduction, pharmacokinetic modeling of dyanmic contrast enhanced MRI, dynamic SPECT and dynamic PET, image segmentation and data reduction, voxel-based and volumetric analysis, image statistical analysis, and image presentation and visualization. All image data will be centrally managed to facilitate efficient storage and retrieval of the data by multiple projects.
Physiological and metabolic imaging are emerging as a critical means to provide guidence for cancer treatment and to assess therapy response. This Gore will provide services to extract important information from multiple-modality images to support physicians's decision making in the clinical studies and supporting research of this research program.
|Hunter, Klaudia U; Lee, Oliver E; Lyden, Teresa H et al. (2014) Aspiration pneumonia after chemo-intensity-modulated radiation therapy of oropharyngeal carcinoma and its clinical and dysphagia-related predictors. Head Neck 36:120-5|
|Vainshtein, Jeffrey M; Spector, Matthew E; McHugh, Jonathan B et al. (2014) Refining risk stratification for locoregional failure after chemoradiotherapy in human papillomavirus-associated oropharyngeal cancer. Oral Oncol 50:513-9|
|Nazem-Zadeh, Mohammad-Reza; Chapman, Christopher H; Chenevert, Thomas et al. (2014) Response-driven imaging biomarkers for predicting radiation necrosis of the brain. Phys Med Biol 59:2535-47|
|Stenmark, Matthew H; Cao, Yue; Wang, Hesheng et al. (2014) Estimating functional liver reserve following hepatic irradiation: adaptive normal tissue response models. Radiother Oncol 111:418-23|
|Hunter, Klaudia U; Schipper, Matthew; Feng, Felix Y et al. (2013) Toxicities affecting quality of life after chemo-IMRT of oropharyngeal cancer: prospective study of patient-reported, observer-rated, and objective outcomes. Int J Radiat Oncol Biol Phys 85:935-40|
|Wilkie, Joel R; Matuszak, Martha M; Feng, Mary et al. (2013) Use of plan quality degradation to evaluate tradeoffs in delivery efficiency and clinical plan metrics arising from IMRT optimizer and sequencer compromises. Med Phys 40:071708|
|Vainshtein, Jeffrey; Eisbruch, Avraham (2013) Function, muscles, and sparing by IMRT for head-and-neck cancer. Int J Radiat Oncol Biol Phys 85:577-8|
|Cao, Yue; Wang, Hesheng; Johnson, Timothy D et al. (2013) Prediction of liver function by using magnetic resonance-based portal venous perfusion imaging. Int J Radiat Oncol Biol Phys 85:258-63|
|Hunter, Klaudia U; Fernandes, Laura L; Vineberg, Karen A et al. (2013) Parotid glands dose-effect relationships based on their actually delivered doses: implications for adaptive replanning in radiation therapy of head-and-neck cancer. Int J Radiat Oncol Biol Phys 87:676-82|
|Farjam, Reza; Parmar, Hemant A; Noll, Douglas C et al. (2012) An approach for computer-aided detection of brain metastases in post-Gd T1-W MRI. Magn Reson Imaging 30:824-36|
Showing the most recent 10 out of 200 publications