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A strategy to decrease partial scan reconstruction artifacts in myocardial perfusion CT: phantom and in vivo

Juan C Ramirez-Giraldo¹, Lifeng Yu, Birgit Kantor

¹Department of Radiology, CT Clinical Innovation Center, Mayo Clinic College of Medicine, Rochester, Minnesota 55905, USA.

Medical Physics

|January 10, 2012

Summary

This summary is machine-generated.

Targeted spatial frequency filtration (TSFF) effectively reduces partial scan reconstruction (PSR) artifacts in dynamic multidetector computed tomography (MDCT) myocardial perfusion imaging. This technique improves the accuracy of quantitative perfusion parameters, offering better agreement with reference methods.

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Area of Science:

Medical Imaging
Cardiovascular Imaging
Computed Tomography

Background:

Partial scan reconstruction (PSR) artifacts in dynamic multidetector computed tomography (MDCT) myocardial perfusion imaging cause temporal CT number variations.
These artifacts compromise the quantitative accuracy of myocardial perfusion measurements using MDCT.

Purpose of the Study:

To present and evaluate a technique called targeted spatial frequency filtration (TSFF).
To reduce CT number variations caused by PSR in MDCT myocardial perfusion imaging.

Main Methods:

TSFF involves reconstructing both partial and full scans, then merging low-frequency data from the full scan with high-frequency data from the partial scan.
The method was validated using a thoracic phantom and an in vivo porcine model, comparing results to a reference standard technique.

Main Results:

TSFF reduced PSR artifacts by up to tenfold in phantom studies.
In vivo, TSFF decreased CT number variations two- to threefold and improved agreement of perfusion parameters (BV, MTT, BF) with the reference method (13.1% vs. 31.8% difference).

Conclusions:

TSFF consistently reduces CT number variations due to PSR in both phantom and in vivo settings.
TSFF-corrected data yield more accurate quantitative perfusion measurements compared to uncorrected data.
Implementing TSFF may increase radiation exposure by approximately 14%.