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.

Public Health Relevance

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.

National Institute of Health (NIH)
National Cancer Institute (NCI)
Research Program Projects (P01)
Project #
Application #
Study Section
Special Emphasis Panel (ZCA1-RPRB-C (O1))
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
University of Michigan Ann Arbor
Ann Arbor
United States
Zip Code
Covington, E L; Ritter, T A; Moran, J M et al. (2016) Technical Report: Evaluation of peripheral dose for flattening filter free photon beams. Med Phys 43:4789
Wahl, Daniel R; Tao, Yebin; Schipper, Matthew et al. (2016) Reply to Yang et al and De Bari et al. J Clin Oncol 34:2799
Kim, Jihun; Saitou, Kazuhiro; Matuszak, Martha M et al. (2016) A finite element head and neck model as a supportive tool for deformable image registration. Int J Comput Assist Radiol Surg 11:1311-7
Wang, Hesheng; Feng, Mary; Jackson, Andrew et al. (2016) Local and Global Function Model of the Liver. Int J Radiat Oncol Biol Phys 94:181-8
Wu, Victor W; Epelman, Marina A; Wang, Hesheng et al. (2016) Optimizing global liver function in radiation therapy treatment planning. Phys Med Biol 61:6465-84
Shilkrut, Mark; Sapir, Eli; Hanasoge, Sheela et al. (2016) Phase I Trial of Dose-escalated Whole Liver Irradiation With Hepatic Arterial Fluorodeoxyuridine/Leucovorin and Streptozotocin Followed by Fluorodeoxyuridine/Leucovorin and Chemoembolization for Patients With Neuroendocrine Hepatic Metastases. Am J Clin Oncol :
Cazoulat, Guillaume; Owen, Dawn; Matuszak, Martha M et al. (2016) Biomechanical deformable image registration of longitudinal lung CT images using vessel information. Phys Med Biol 61:4826-39
Wahl, Daniel R; Stenmark, Matthew H; Tao, Yebin et al. (2016) Outcomes After Stereotactic Body Radiotherapy or Radiofrequency Ablation for Hepatocellular Carcinoma. J Clin Oncol 34:452-9
Hadley, Scott W; Kessler, Marc L; Litzenberg, Dale W et al. (2016) SafetyNet: Streamlining and Automating QA in radiotherapy. J Appl Clin Med Phys 17:5920
Samuels, Stuart E; Tao, Yebin; Lyden, Teresa et al. (2016) Comparisons of dysphagia and quality of life (QOL) in comparable patients with HPV-positive oropharyngeal cancer receiving chemo-irradiation or cetuximab-irradiation. Oral Oncol 54:68-74

Showing the most recent 10 out of 234 publications