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One stable and accurate method for determination of an arterial input function for dynamic contrast enhanced magnetic resonance imaging

Summary

Cerebral blood flow (CBF) maps calculated from dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) are widely used for diagnosis of acute stroke and cancer. The determination of accurate CBF maps requires accurate detection of arterial input function (AIF). The current manual AIF determination procedures depend on operators’ experience and subjective judgments, which is less reproducible. It is desirable that the AIF can be estimated accurately with no user interaction. In this study, we present an automated and robust algorithm for automatic selection of AIF based on affinity propagation (AP) clustering method. We demonstrated that the proposed algorithm can identify the AIF curve and voxels accurately, efficiently, and reliably in the DCE MR images, which shows good applicability in clinical uses.

Supplementary Information

Inventor: Shi, Lin | Wang, Defeng | Heng, Pheng Ann
Priority Number: US8798349B2
IPC Current: G06K000900
US Class: 382131
Assignee Applicant: The Chinese University of Hong Kong
Title: Systems and methods for detecting arterial input function (AIF)
Usefulness: Systems and methods for detecting arterial input function (AIF)
Summary: Method for detecting arterial input function (AIF) in dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) scans of a tissue or an organ such as brain, kidney, lung, heart, liver, thyroid, pancreas, spleen, intestine, prostate, uterus, ovary, breast, limbs, and eyes (all claimed) to detect blood flow in a subject i.e. human being. Can also be used for vertebrate animals such as monkey, dog, horse, deer, pig, guinea pig, sheep, goat, cattle, buffalo, rabbit, cat, rat and mouse.
Novelty: Method for detecting arterial input function in dynamic contrast enhanced magnetic resonance imaging scans of e.g. heart, to detect blood flow in human being, involves calculating final estimate of arterial input function

Industry

Biomedical

Sub Category

Medical Imaging

Application No.

11/MED/406/ITF

Others

Inventor(s): Professor SHI Lin, Department of Imaging and Interventional Radiology Licensing Status: Available for licensing

Country/Region

Hong Kong