aQuant is a software suite for the automated and robust analysis of [O-15]-H2O. The underlying algorithms of aQuant have been used in more than 30 peer-reviewed studies over the last decade. aQuant is currently not approved by the FDA or CE-marked.

aQuant Cardiac Module

Analysis made easy
By automatic generation, reorientation and segmentation of quantitative parametric images of blood flow, results are ready for review with hardly any user interaction necessary.

Review made easy
Results of MBF at stress and rest as well as Coronary Flow Reserve are presented as short- and long axis images, polarmaps and in tabular form. Color coding helps the reader identify abnormal segments and defect size based on well-established cut-offs. Perfusable Tissue Index (PTI), a fibrosis index unique to [O-15]-H2O, is presented in a similar fashion.
Build-in quality control helps the reviewer assess the quality of the scan.

Results are summarized on a report page and can be exported to local PACS system as a DICOM image. Parametric images can likewise be exported as DICOM images for documentation or subsequent fusion with CT angiogram.

Historically, the analysis of [O-15]-H2O was challenging due to the high noise levels and low contrast [insert noisy image]. The introduction of PET/CT has greatly improved image quality, enabling a routine use of [O-15]-H2O. However, the low contrast remains, complicating analysis. Analyzing [O-15]-H2O therefore requires a different approach than normal: we first need to generate contrast. This has been solved in 2011 and forms the basis of the aQuant software, yielding contrast-rich and fully quantitative images of diagnostic quality.

Each [15O]-H2O scan is segmented using Cluster Analysis, automatically extracting the blood input function.

These input functions are then further used to generate the diagnostic images using [15O]-H2O’s simple kinetic model. The high-contrast images of Perfusable Tissue Fraction (PTF) are then used for automated segmentation of the heart itself. Since PTF does not represent blood flow, this eliminates observer bias in low-blood flow regions.

Ultimately, the segmental analysis is performed giving fully quantitative blood flow and PTF for all standard segments.