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Early time points perfusion imaging.

Kenneth K Kwong1, Timothy G Reese, Koen Nelissen

  • 1MGH/MIT/HMS Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA 02129, USA. kwong@nmr.mgh.harvard.edu

Neuroimage
|September 21, 2010
PubMed
Summary
This summary is machine-generated.

This article introduces a new magnetic resonance imaging technique to map blood flow in the brain. By measuring the initial arrival of a contrast agent before it leaves the tissue, researchers can calculate relative cerebral blood flow. This method, tested through computer simulations and animal models, offers a way to improve brain coverage and image quality.

Keywords:
cerebral blood flowmagnetic resonance imagingcontrast agent kineticsecho planar imaging

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Area of Science:

  • Neuroimaging research within early time points perfusion imaging
  • Magnetic resonance imaging physics and signal processing

Background:

No prior work had resolved how to accurately map blood flow using very short repetition times in magnetic resonance imaging. Researchers often struggle to capture the initial arrival of contrast agents before tissue clearance occurs. This gap motivated the development of specialized techniques to isolate early signal changes. Prior research has shown that standard perfusion methods may lose data during the initial bolus phase. That uncertainty drove the need for a protocol focused on the earliest possible data acquisition. It was already known that contrast agent kinetics complicate standard blood flow calculations in brain tissue. No prior work had resolved the specific noise challenges encountered during the arrival phase of these agents. This study addresses these limitations by proposing a novel measurement strategy for cerebral perfusion.

Purpose Of The Study:

The aim of this study is to investigate the feasibility of creating relative cerebral blood flow maps using short repetition times in magnetic resonance imaging. Researchers sought to measure the initial arrival of a contrast agent before it clears from the tissue. This approach addresses the challenge of capturing perfusion data within a very narrow time window. The authors hypothesized that signal intensity during the early phase is directly proportional to blood flow. They aimed to develop a standardized recipe for executing this measurement technique in clinical environments. A significant motivation was to improve the spatial coverage of brain imaging during these rapid scans. The team also intended to resolve technical difficulties related to noise during the contrast agent arrival phase. This work provides a new framework for perfusion assessment that avoids the limitations of longer observation periods.

Main Methods:

Review Approach framing involves evaluating a novel magnetic resonance imaging protocol through both computational and biological models. The investigators utilized simulation data to establish the ideal performance characteristics of the proposed measurement strategy. They then applied this technique to animal subjects to verify the utility of the approach in living tissue. The researchers integrated the simultaneous echo refocusing echo planar imaging sequence to enhance spatial coverage. A detailed procedural recipe was developed to guide the execution of the imaging protocol. Special attention was directed toward mitigating signal noise during the critical arrival phase of the contrast agent. The team compared the performance of their method against established expectations for blood flow mapping. This systematic evaluation ensured that the technique could reliably capture the initial bolus dynamics.

Main Results:

Key Findings From the Literature indicate that the proposed method successfully generates relative cerebral blood flow maps using short repetition times. The researchers observed that signals recorded during the initial bolus passage exhibit a proportional relationship with blood flow. Simulation results confirmed that the technique maintains ideal behavior when capturing the arrival of the contrast agent. Data from monkey models provided encouraging support for the practical implementation of this imaging strategy. The application of the simultaneous echo refocusing technique successfully expanded the total brain coverage during the scans. The authors reported that their specific recipe effectively addresses common noise problems encountered at the time of arrival. These results demonstrate that the method remains feasible even when the contrast agent has not yet left the tissue. The findings suggest that this approach offers a reliable alternative for perfusion measurements in clinical research.

Conclusions:

Synthesis and Implications suggest the early time points method provides a viable framework for estimating relative cerebral blood flow. The authors claim that signals recorded during the initial bolus passage correlate directly with blood flow rates. Simulation data confirm the theoretical validity of this approach under ideal imaging conditions. Evidence from animal models supports the practical application of this technique in clinical settings. The authors note that simultaneous echo refocusing improves the spatial coverage of the brain during these scans. Addressing noise around the arrival time remains a priority for maintaining measurement accuracy. These findings offer a new pathway for perfusion imaging without requiring long observation windows. The researchers conclude that their proposed recipe facilitates consistent blood flow mapping across different subjects.

The researchers propose that signals captured during the initial bolus arrival are directly proportional to relative cerebral blood flow. This mechanism allows for mapping blood flow before the contrast agent exits the tissue, unlike traditional methods that require longer observation periods.

The authors utilize Gadolinium-Diethylenetriaminepentaacetate (Gd-DTPA) as the contrast agent. This compound is tracked during its initial entry into the brain to provide the necessary signal for calculating perfusion maps.

The researchers emphasize that managing noise around the time of arrival is necessary for accurate calculations. This technical requirement ensures that the initial signal intensity is not obscured by artifacts during the rapid influx of the contrast agent.

Simultaneous Echo Refocusing (SER) Echo Planar Imaging (EPI) serves as the primary data acquisition tool. This component is used to expand the spatial coverage of the brain, allowing for more comprehensive perfusion mapping compared to standard imaging sequences.

The researchers measure the initial arrival amount of the contrast agent within a specific time window. This measurement is compared against simulation data to validate the expected behavior of the signal versus actual perfusion rates in monkey models.

The authors suggest that this approach improves brain coverage compared to conventional perfusion imaging. They propose that their specific recipe for execution provides a robust framework for future clinical perfusion studies.