Time Efficient ASL Imaging with Segmented Multiband Acquisition

摘要

A method for generating a perfusion weighted image using ASL with segmented acquisitions includes dividing an anatomical area of interest into slices and performing an EPI acquisition process using an MRI system to acquire a control image dataset representative of the slices. An ASL preparation process is performed using the MRI system to magnetically label protons in arterial blood water upstream from the anatomical area of interest. Following a first time period, a multi-band EPI acquisition process is performed using the MRI system to acquire a first labeled image dataset representative of a first subset of the slices. Following a second time period, another multi-band EPI acquisition process is performed using the MRI system to acquire a second labeled image dataset representative of a second subset of the slices. A perfusion weighted image is generated by subtracting the first and second labeled image dataset from the control image dataset.

主权项

1. A method for generating a perfusion weighted image using arterial spin labeling (ASL) with segmented acquisitions, the method comprising:
dividing an anatomical area of interest into a plurality of slices; performing an EPI acquisition process using a magnetic resonance imaging (MRI) system to acquire a control image dataset representative of the plurality of slices; performing an ASL preparation process, using the MRI system to magnetically label protons in arterial blood water in an area upstream from the anatomical area of interest; following a first post-labeling delay time period, performing a multi-band echo planar imaging (EPI) acquisition process using the MRI system to acquire a first labeled image dataset representative of a first subset of the plurality of slices; following a second post-labeling delay time period, performing another multi-band EPI acquisition process using the MRI system to acquire a second labeled image dataset representative of a second subset of the plurality of slices; and generating a perfusion weighted image of anatomical area of interest by subtracting the first labeled image dataset and the second labeled image dataset from the control image dataset.