A quantitative analysis of dopamine transporter (DaT) SPECT images now at your fingertips.

An aid in the assessment of the degree of in vivo expression of the dopamine transporter (DaT)

• DaTQUANT assists in the detection and quantification of the loss of functional striatal dopaminergic neuron terminals, a loss correlated with Parkinson's disease
• Quantitative analysis may help assess the extent and intensity of the striatal 123I-ioflupane signal

Quantification results are indicated for left and right striatal binding ratios, putamen/caudate ratios, and left/right asymmetry. Values are for illustrative purposes only.

Automated processing ensures objective, accurate, and reproducible results

• Uses a predefined 123I-ioflupane VOI template for automatic asymmetry measurements and putamen/caudate update ratios
-Offers the option for manual adjustment of VOI placement
-95% of more than 200 images tested required no user intervention for VOI placement adjustment1
• Reduces variation in comparison to normal database by reconstructing SPECT data with same parameters applied to normal database
• Orients the image automatically for optimal visual assessment and removal of head-tilt artifacts

A normal database developed from healthy volunteers who contributed to the Parkinson's Progression Markers Initiative, a comprehensive study of patients with Parkinson's disease2

• In less than one minute, generates quantification results including comparison to age-matched normal volunteers.
• Normal database has been validated for use with images acquired on a variety of multiheaded SPECT cameras
• Users have the ability to create a customized normal database that enables comparison to a site-specific normal population of images

DaT, dopamine transporter; SBR, striatal binding ratio; VOI, volume of interest; SPECT, single-photon emission computed tomography; PDF, portable document format; DICOM, Digital Imaging and Communications in Medicine; PACS, picture archiving and communication system

1. Internal verification testing data on file. GE Healthcare; 2015.
2. Parkinson's Progression Markers Initiative. PPMI-info.org. Accessed 2018.


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