NDLI: A method for motion detection and categorization in perfusion weighted MRI

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A method for motion detection and categorization in perfusion weighted MRI

Content Provider	ACM Digital Library
Author	Sivaswamy, Jayanthi Varma, Ravi Gautam, Rohit
Abstract	The blood perfusion measurement is done by injecting a bolus of contrast agent in the brain followed by imaging over a period of time (scan). This process can extend into minutes and hence any patient motion mid-scan results in corrupted data. This is often observed in dynamic magnetic resonance (MR) imaging for both susceptibility (DSC) and contrast enhanced (DCE) scans. Motion correction done after scanning is typically the most time-intensive step in the entire measurement process since it involves registering each volume in the time-series to a reference volume. We argue that detecting the presence of motion prior to correction can mitigate this problem by reducing the number of volumes to be corrected. The challenge in motion detection is that the injected contrast alters the signal intensity as a function of time leading to false alarms. We present a robust multi-stage method: subdivision of the time series data into bolus and non-bolus phases; clustering-based identification of bolus-affected pixels followed by correction of their intensity using a Gamma variate function fitting-based method and a 2D block-wise phase correlation for detecting motion between adjacent volumes in DSC-MRI data. The proposed method was tested on a DSC MR sequence with simulated motion of varying degrees. The experimental results show that the entropy of the derived motion fields is a good metric for detecting and categorizing the motion. The proposed scheme when applied prior to correction can achieve on average a 37% reduction in the time required for motion correction.
Starting Page	1
Ending Page	8
Page Count	8
File Format	PDF
ISBN	9781450316606
DOI	10.1145/2425333.2425339
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2012-12-16
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Dynamic susceptibility contrast (dsc) mri Intensity correction Phase correlation Dynamic contrast enhanced (dce) mri 4d imaging Motion detection Gamma-variate-function
Content Type	Text
Resource Type	Article

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