Biased visualization of hypoperfused tissue by computed tomography due to short imaging duration: improved classification by image down-sampling and vascular models.

Mikkelsen IK, Jones PS, Ribe LR, et al. Eur Radiol. 2015;25(7):2080-2088

Abstract

Objectives

Lesion detection in acute stroke by computed-tomography perfusion (CTP) can be affected by incomplete bolus coverage in veins and hypoperfused tissue, so-called bolus truncation (BT), and low contrast-to-noise ratio (CNR). We examined the BT-frequency and hypothesized that image down-sampling and a vascular model (VM) for perfusion calculation would improve normo- and hypoperfused tissue classification.

Conclusion

BT is not uncommon in stroke CTP with 40-s scan duration. Applying image down-sampling and VM improve tissue classification.

Get access to the full article: doi:10.1007/s00330-015-3602-x

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CLINICAL USE CASES
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  • May detect the no-reflow phenomenon — providing insight into cases where recovery may fail despite successful thrombectomy.
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