Past Work
Clinical and Human-based Research applications are featured in which the utility of volumetric
and quantitative imaging and image analysis has been demonstrated. Each categorie is illustrate
d by:
- Application Overviews
- Patient Scan Protocols
- Image Display and Analysis Methodologies
- Case Examples
- Bibliographic References with abstracts.
Course taught by our staff.
An online manual for our Volumetric Image Display and Analysis® software package.
CT Scan Image Storage and Analysis Center for the NETT
- This is a contract to serve as the Image Analysis (and Archival)
Center for the National Emphysema Treatment Trial. We will receive pre and
post-surgery images over a three-year period from eighteen centers around
the country for lung volume reduction. We will provide the image-based
measures, which will be used in determining if CT provides outcomes
predictors for surgical success. We will serve to provide the final imaging
protocol for the study, image quality control, and we will maintain the
integrity of the image database. This study hopes to enroll 2,500 patients.
This will give us the opportunity to test some of our tissue characterization
methodologies including basic histogram measures, as well as more advanced
methods provided by our Adaptive Multiple Feature Method (AMFM). This is in
collaboration with Johns Hopkins University.
Inflammatory Parenchymal Lung Disease Structure/Function
- This project seeks to test the hypothesis that the earliest signs of
inflammatory lung disease will be regional changes in microvascular mean
transit time of blood flow. CT-based measures of both regional parenchymal
anatomy and microvascular blood flow will be evaluated in normal and
smoking subject populations. Both these populations will exhibit normal
pulmonary functions. We will evaluate an animal model of emphysema from which we
will be able to investigate sequencial relationships between blood flow
alterations and parenchymal destruction caused by inhaled pancreatic elastase.
- The project's goal was to provide teleradiology between rural imaging centers with the University of Iowa. The rural sites would scan a patient and a team of physicians and technologists would analyze their image data and consult with the rural staff in real time.
Synergistic CT-Bronchoscopy for Lung Cancer Assessment
- The project's goal is to help guide a bronchoscopist in biopsying
enlarged lymph nodes in the lung with the use of the Virtual Navigator
software developed at Penn State by Dr.
Higgins' research group. The Virtual Navigator software uses a HRCT lung
scan as input and provides many views of the lung field such as surface
renderings, virtual bronchoscopy of the airways and 2D and 3D views of the
CT scan. The Virtual Navigator's workstation interfaces to a standard
videobronchoscopy equipment in the bronchoscopy lab. The bronchoscopist
can then use the bronchscope and the tools of the Virtual Navigator to
"navigate" to the lymph node and perform the biopsy. This is in collaboration
with Pennsylvania State University.
CT Bronchoscopy Workstation for Lung Cancer Assessment
- This project's goal is to devise an automated methods for
CT-based procedure planning and image-guided bronchoscopy, thereby
enabling more effective biopsy planning and subsequent bronchoscopic
biopsy. The main idea is to development of the Virtual Navigator
software/workstation into a more clinical friendly system by using the
lessons learned from the previous phase I testing of the Virtual Navigator
system. This project is in collaboration with Pennsylvania State
University.
©1994-2007 Division of Physiologic Imaging, Dept.
of Radiology, Univ. of Iowa
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Last modified: Thu Nov. 16 16:29:21 CST 2000