SPECT Reconstruction Software and Methods for Improved Image Quality and Quantitative Accuracy

Case ID:
C04295
Disclosure Date:
7/21/2003

C04295: Novel Method for Fast and Quality SPECT Image Reconstruction

Novelty:

Clinically relevant and practical method to improve SPECT imaging

Value Proposition:

Single Photon Emission Computed Tomography (SPECT) is a nuclear imaging technique, often used for heart disease and cancer diagnosis. Major factors affecting the quality of SPECT imaging are scatter from patient and collimator (lens of gamma camera). Other methods have been proposed to improve SPECT imaging quality, but this method is both clinically relevant and practical, with following advantages:
• Unique set of optimizations can be customized for specific diagnosis
• Fast implementation allows efficient computation
• Method of developing operating parameters and calibration table is available

Technical Details:

Johns Hopkins researchers have developed a clinically relevant and practical method to improve SPECT imaging by compensating for degradations in the imaging process including scatter from patient and collimator. This method consists of a reconstruction code and associated operating parameters and tables. It reconstructs the SPECT images while compensating for attenuation, scatter from the patient and collimator, and the collimator detector-response. The resulting images have improved quality and quantitative accuracy, and its effectiveness has been demonstrated in simulation studies for a wide range of radionuclides including Tc-99m, Tl-201, I-123, In-111, I-131, and Y-90. In phantom and patient studies they provide qualitatively improved image quality in cardiac images and quantitatively improved images for applications such as radionuclide therapy treatment planning. The code has been optimized for fast reconstruction times, and it is practical in a clinical setting.

Looking for Partners:

To develop and commercialize this technology as an application for SPECT imaging

Stage of Development:

Commercialization

Data Availability:

Under NDA/CDA

Publications/Associated Cases:

Not available at this time

Patent Information:
Inventors:
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For Information, Contact:
Mark Maloney
dmalon11@jhu.edu
410-614-0300
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