Project: Research project

Project Details


DESCRIPTION: (Applicant's Description)
While adenocarcinoma of the prostate is the most commonly diagnosed cancer in
American men and the second leading cause of cancer mortality, technologic and
engineering advances have not pushed diagnosis or treatment methods forward
when compared to, for example, brain cancers. The objective of this research
and development project is to create a methodology suitable for spatially
accurate image-guided diagnosis and treatment of prostate cancer. Our method
is based around the newly emerging techniques in interventional MRI (IMRI) and
nuclear imaging, including image registration, image guided biopsy, and direct
monitoring of thermal therapy. To test our methodology, we will perform
careful validation testing in an experimental animal model to justify future
clinical trials and clinical evaluation in patients. Specifically, we will
acquire MRI volume scans of the pelvis and register these images with nuclear
scans that provide metabolic/monoclonal indicators of disease. This first
registration will semi-automatically combine image data sets with markedly
different spatial, contrast and SNR characteristics. During guidance to the
prostate lesion, we will compare new rapid MRI techniques with improved
immunity to motion to existing methods, and we will complete development and
validation of two methods for IMRI navigation where the target tissue and the
interventional device are ensured to remain in the scan plane. Two methods
shown to be feasible for IMRl guided procedures will be integrated with
registered data sets to provide both scan planes which always include the
interventional tool and the target tissue and a best estimate of the
registered data at the same orientation to improve accuracy of placement of
the tools into the most appropriate tissue location. Guidance accuracy will be
validated. Image registration methods during guidance will provide accurate
automated multi-modality resolution between the new rapidly acquired data and
previously registered nuclear and MRI data as a method to improve targeted
biopsy and treatment. We will develop new methods to visualize information,
like the interventional tool trajectory and tissue temperature and validate
their accuracy. We will use phantoms when possible, but more importantly, we
will create a canine model to provide comparable tissue deformation,
perfusion, morphology and organ and physiologic motion expected in human
trials. Finally, we will validate accuracy of both our image guided biopsy and
image guided minimally invasive treatment under realistic conditions.
Effective start/end date9/14/008/31/05


  • National Cancer Institute: $269,102.00
  • National Cancer Institute: $272,025.00
  • National Cancer Institute: $280,187.00


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