Title

An efficient model to guide prospective T2-weighted 4D magnetic resonance imaging acquisition.

Document Type

Article

Publication Date

6-1-2018

Publication Title

Medical physics

Abstract

PURPOSE: To establish a mathematical model to guide prospective T2-weighted four-dimensional magnetic resonance imaging (4DMRI) acquisition and to propose an efficient solution to expedite prospective T2-weighted 4DMRI acquisition.

METHODS: Prospective T2-weighted 4DMRI acquisition was characterized by a mathematical model with 4DMRI acquisition time as the objective function and completeness of the image set, acquisition timing, image contrast, and image artifacts as constraints. Given the irregular nature of human respiration, an efficient solution based on the greedy strategy (ESGS) was proposed. The efficiency of the ESGS method was validated using healthy human subjects. Comparisons were made with the previous 4DMRI method incorporating the prefixed-order respiratory state splitting (PO-RSS) technique.

RESULTS: 4DMRI image sets acquired using the ESGS and PO-RSS methods had similar image quality. The average time to acquire a 4DMRI image set covering 60 slices at 10 respiratory states was reduced by 30%, from 13.1 min using the PO-RSS method to 9.0 min using the ESGS method. It was demonstrated that high-quality T2-weighted 4DMRI could be obtained within a reasonable amount of time and all slices within each of the three-dimensional volumes were indeed acquired at the same respiratory state.

CONCLUSIONS: The ESGS method substantially reduces the acquisition time for T2-weighted 4DMRI, making it ready for clinical evaluation to obtain abdominal tumor motion for radiotherapy treatment planning.

Medical Subject Headings

Adult; Artifacts; Computer Simulation; Female; Humans; Imaging, Three-Dimensional; Magnetic Resonance Imaging; Male; Models, Theoretical; Radiotherapy Planning, Computer-Assisted; Respiration; Time Factors; Young Adult

PubMed ID

29663412

Volume

45

Issue

6

First Page

2453

Last Page

2462

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