Impact of Incorporating Visual Biofeedback in 4D MRI
25-05-2017
Impact of incorporating visual biofeedback in 4D MRI
David T. To, Joshua P. Kim, Ryan G. Price, Indrin J. Chetty, and
Carri K. Glide-Hursta
Department of Radiation Oncology, Henry Ford Health System, Detroit, MI, USA
churst2@hfhs.org
Received 20 August, 2015; accepted 17 December, 2015
Precise radiation therapy (RT) for abdominal lesions is complicated by respiratory
motion and suboptimal soft tissue contrast in 4D CT. 4D MRI offers improved contrast
although long scan times and irregular breathing patterns can be limiting. To
address this, visual biofeedback (VBF) was introduced into 4D MRI. Ten volunteers
were consented to an IRB-approved protocol. Prospective respiratory-triggered,
T2-weighted, coronal 4D MRIs were acquired on an open 1.0T MR-SIM. VBF
was integrated using an MR-compatible interactive breath-hold control system.
Subjects visually monitored their breathing patterns to stay within predetermined
tolerances. 4D MRIs were acquired with and without VBF for 2- and 8-phase
acquisitions. Normalized respiratory waveforms were evaluated for scan time, duty
cycle (programmed/acquisition time), breathing period, and breathing regularity
(end-inhale coefficient of variation, EI-COV). Three reviewers performed image
quality assessment to compare artifacts with and without VBF. Respiration-induced
liver motion was calculated via centroid difference analysis of end-exhale (EE) and
EI liver contours. Incorporating VBF reduced 2-phase acquisition time (4.7 ± 1.0
and 5.4 ± 1.5 min with and without VBF, respectively) while reducing EI-COV
by 43.8% ± 16.6%. For 8-phase acquisitions, VBF reduced acquisition time by
1.9 ± 1.6 min and EI-COVs by 38.8% ± 25.7% despite breathing rate remaining
similar (11.1 ± 3.8 breaths/min with vs. 10.5 ± 2.9 without). Using VBF yielded
higher duty cycles than unguided free breathing (34.4% ± 5.8% vs. 28.1% ± 6.6%,
respectively). Image grading showed that out of 40 paired evaluations, 20 cases
had equivalent and 17 had improved image quality scores with VBF, particularly
for mid-exhale and EI. Increased liver excursion was observed with VBF, where
superior–inferior, anterior–posterior, and left–right EE-EI displacements were
14.1 ± 5.8, 4.9 ± 2.1, and 1.5 ± 1.0 mm, respectively, with VBF compared to
11.9 ± 4.5, 3.7 ± 2.1, and 1.2 ± 1.4 mm without. Incorporating VBF into 4D MRI
substantially reduced acquisition time, breathing irregularity, and image artifacts.
However, differences in excursion were observed, thus implementation will be
required throughout the RT workflow