ABSTRACTS OF NIH GRANTS
Academic Radiology, Vol 11, No 1, January 2004
FLAT PANEL DETECTOR BASED CONE BEAM VOLUME CT
MAGNETIC RESONANCE SPECTROSCOPY OF TUMORS AND TISSUES
Grant Number: PI Name:
Grant Number: PI Name:
3R01CA085904-02S1 Ning, Ruola
Abstract: Description (Verbatim from Applicant’s Abstract): The long term goal of this project is to develop a high resolution cone beam volume computed tomography (CBVCT) imaging technique to provide clinically useful three-dimensional (3D) high resolution images for thoracic oncologic imaging. CBVCT uses a cone beam geometry and a newly developed digital flat panel detector for fast volume scanning. It will require only a single fast volume scanning (2 - 8.0 seconds) to provide true 3D description of pulmonary anatomy with 0.7 4.0 lp/mm isotropic resolution. CBVCT represents the next step in the evolution in CT. Rapid acquisition will eliminate most motion artifacts. Sub-millimeter isotropic resolution should detect more pulmonary nodules, virtually eliminating partial volume average artifacts. CBVCT should allow for the first time accurate determination of size, growth, density, and enhancement characteristics of small pulmonary nodules. This would be a major advance in oncologic pulmonary imaging. CBVCT will be developed and validated through computer simulation, phantom and animal studies performed on a prototype imaging system that uses a thin film transistor (TFT) flat panel detector and cone beam tomographic acquisition geometry. Specifically, the aims of the proposed research are: 1) Develop and validate data acquisition technique for TFT array-based CBVCT through computer simulation, 2) Develop, implement and optimize the cone beam reconstruction algorithms, 3) Construct a TFT-based prototype CBVCT scanner, 4) Test and optimize the CBVCT technique through phantom studies, and 5) Evaluate imaging performance of the CBVCT system through comparison phantom studies with a multi-slice CT. Animal studies will be prepared upon the successful completion of this proposed research. Thesaurus Terms: computed axial tomography, diagnosis design/evaluation, lung neoplasm, neoplasm/cancer radiodiagnosis, radiation detector calcium, computer simulation, method development, phantom model bioimaging/biomedical imaging, postmortem
Institution:
Fiscal Year: Department: Project Start: Project End: ICD: IRG:
University Of Rochester Orpa - Rc Box 270140 Rochester, NY 14627 2002 Radiology 01-Feb-2001 31-Jan-2004 National Cancer Institute DMG
5R21CA089671-02 Nurenberg, Pamela
Abstract: Hypothesis: In vivo Magnetic Resonance Spectroscopy (MRS) will provide a rigorous non-invasive approach for the clinical diagnosis and prognosis of Renal Cell carcinoma (RCC) on the basis of a unique metabolic “fingerprint”/pattern. Specific Aims: A. Precisely identify the metabolites present in renal cell carinoma (RCC) compared to normal renal tissue utilizing proton Magnetic Resonance Spectroscopy (MRS). B. Determine if there is a specific metabolic “fingerprint”/pattern that differentiates RCC from benign tumors such as oncocytoma, and angiomyolipoma, and from other malignant lesions such as lymphoma, transitional cell carcinoma, and metastasis. C. Determine if there is a correlation between the MRS and the histologic grade, stage, size of tumor and metastatic potential independent of stage and grade. A positive outcome will aid in avoiding biopsies for lesion identification, determine if there is viable or recurrent tumor present after surgical excision, ablation (cryoablation or RF heat ablation), or systematic treatment. It will also permit the choice of surgical therapy that spares much of the ipsilateral or benign). Differentiation of RCC from such lesions as lymphoma and metastasis (which are treated non-operatively) will avoid unnecessary surgery. In the event of a negative outcome, our findings will contribute to the understanding of the tumor biology of RCC, which will in turn aid in the development of new therapeutic approaches. Thesaurus Terms: diagnosis design/evaluation, neoplasm/ cancer diagnosis, noninvasive diagnosis, nuclear magnetic resonance spectroscopy, renal cell carcinoma lymphoma, metastasis, transitional cell carcinoma bioimaging/biomedical imaging, clinical research, human subject
Institution:
Fiscal Year: Department: Project Start: Project End: ICD: IRG:
University Of Texas Sw Med Ctr/Dallas Dallas, TX 753909105 2002 Radiology 01-Jul-2001 30-Jun-2004 National Cancer Institute RNM
ELASTOGRAPHY: CLINICAL AND BASIC SCIENCE Grant Number: PI Name:
5P01CA064597-09 Ophir, Jonathan
Abstract: Elastography provides new opportunities in diagnostic imaging for the visualization of normal and abnormal tis-
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