ArticleQuantitative imaging in medicine and surgery2025
Adjusting input arterial function to improve the accuracy of hypoperfusion assessment in computed tomography perfusion (CTP) for stroke: a preliminary study.
Article in Quantitative imaging in medicine and surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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8 authors.
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Abstract
Background: The choice of arterial input function (AIF) during post-processing of computed tomography perfusion (CTP) imaging can strongly influence perfusion maps. At present, there is no consensus on the optimal site for AIF selection. Since CTP often overestimates hypoperfused tissue, some patients with acute ischemic stroke (AIS) may face misdiagnosis and unnecessary treatment. This study aimed to improve the accuracy of hypoperfusion assessments through artificial intelligence to automatically modify the selection of AIFs. Methods: We retrospectively analyzed 35 patients with AIS caused by unilateral anterior circulation obstruction who did not undergo thrombolysis or thrombectomy. Each patient underwent an emergency "one-stop" computed tomography (CT) scan, including non-contrast CT, CT angiography, and CTP, followed by magnetic resonance imaging (MRI) within 10 days. AIF was measured at two sites: (I) a normal large artery (AIF Results: A total of 35 eligible patients were analyzed. The mean absolute error (MAE) for AIF Conclusions: It is feasible to automatically select AIF
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