Abstract #3289
Susceptibility-Based Positive-Contrast MRI for Brachytherapy Seed Identification
Ying Dong 1 , Zheng Chang 2 , Gregory Whitehead 3 , and Jim Xiuquan Ji 4
1
Electrical Engineering, Texas A&M
University, College Station, Texas, United States,
2
Radiation
Oncology, Duke University, NC, United States,
3
Texas
A&M University, College Station, TX, United States,
4
Texas
A&M University, College Station, Texas, United States
For a number of reasons, MRI is preferred for
brachytherapy imaging. However, due to the high
susceptibility of the seeds and the lack of protons,
brachytherapy seeds and the surrounding tissues usually
show as enlarged dark spots (negative contrast) on the
MR images. Many methods have been proposed to create
positive contrast in the surrounding tissues (but not in
the seeds) based on the susceptibility-induced field
change. This paper proposes a new method to image the
brachytherapy seeds by deriving the susceptibility
distribution. The method is based on an improved,
sparsity-promoting, kernel deconvolution algorithm.
Experimental results show the proposed method can
provide localization of the seed itself, rather than the
surrounding tissues, and it gives an effective positive
contrast to the seeds. In addition, the proposed method
is also able to identify and differentiate the seeds
from other less-susceptible objects.
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