Feasibility of intra-acquisition motion correction for 4D DSA reconstruction for applications in the thorax and abdomen

Wagner, Martin; Laeseke, Paul F.; Harari, Colin; Schäfer, Sebastian; Speidel, Michael A.; Mistretta, Charles A.

doi:10.1117/12.2293812

Cited by 4 publications

(4 citation statements)

References 11 publications

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“…The long data acquisition during 4D-DSA further compounds this. These limitations are being addressed by motion correction algorithms currently in development [3]. However, neither the impact of respiratory motion on the 4D-DSA reconstructions, nor the ability to correct for it were included in this study.…”

Section: Discussionmentioning

confidence: 99%

“…Use of 4D-DSA in the thorax and abdomen has been limited primarily by its susceptibility to patient and respiratory motion, a consequence of long data acquisition times and the need for two rotational C-arm acquisitions. Algorithms are being developed to correct for motionrelated image degradation during 4D-DSA acquisitions [3]. Improved motion correction will facilitate the use of 4D-DSA during body interventions where characterization of abnormal flow (arteriovenous malformations), flow reduction (transarterial embolizations), or flow restoration (e.g., balloon angioplasty/stent placement for arterial stenosis) is needed.…”

Section: Introductionmentioning

confidence: 99%

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Optimization of quantitative time-resolved 3D (4D) digital subtraction angiography in a porcine liver model

et al. 2020

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Background: Time-resolved three-dimensional digital subtraction angiography (4D-DSA) can be used to quantify blood velocity. Contrast pulsatility, a major discriminant on 4D-DSA, is yet to be optimized. We investigated the effects of different imaging and injection parameters on sideband ratio (SBR), a measure of contrast pulsatile strength, within the hepatic vasculature of an in vivo porcine model. Methods: Fifty-nine hepatic 4D-DSA procedures were performed in three female domestic swine (mean weight 54 kg). Contrast injections were performed in the common hepatic artery with different combinations of imaging duration (6 s or 12 s), injection rates (from 1.0 to 2.5 mL/s), contrast concentration (50% or 100%), and catheter size (4 Fr or 5 Fr). Reflux was recorded. SBR and vessel cross-sectional areas were calculated in 289 arterial segments. Multiple linear mixed-effects models were estimated to determine the effects of parameters on SBR and cross-sectional vessel area. Results: Twelve-second acquisitions yielded a SBR higher than 6 s (p < 0.001). No significant differences in SBR were seen between different catheter sizes (p = 0.063) or contrast concentration (p = 0.907). For higher injection rates (2.5 mL/s), SBR was lower (p = 0.007) and cross-sectional area was higher (p < 0.001). Reflux of contrast does not significantly affect SBR (p = 0.087). Conclusions: The strength of contrast pulsatility used for flow quantitation with 4D-DSA can be increased by adjusting injection rates and using longer acquisition times. Reduction of contrast concentration to 50% is feasible and reflux of contrast does not significantly hinder contrast pulsatility.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimization of quantitative time-resolved 3D (4D) digital subtraction angiography in a porcine liver model

et al. 2020

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“…The present method focuses on flow in cerebral arteries, which are relatively stationary over the course of C-arm rotational acquisitions. Motion-compensated 4D-DSA techniques 17 may enable its application to other organ systems, although this remains to be demonstrated. Other potential shortcomings of this method include the requirement for the presence of consistent pulsatility waveforms for reliable measurement.…”

Section: Discussionmentioning

confidence: 99%

Measuring blood velocity using 4D‐DSA: A feasibility study

et al. 2018

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4D-DSA provides temporal and spatial information about blood flow and vascular geometry. This information is obtained using conventional rotational angiographic systems. In this small feasibility study, these data allowed calculations of velocity values that correlated well with measured values. The availability of velocity and blood flow information in the interventional setting would support a more quantitative approach to diagnosis, treatment planning and post-treatment evaluations of a variety of cerebrovascular diseases.

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“…Respiratory signal extraction is the process of estimating the respiratory state of a patient at a particular point in time. It is used in external beam radiotherapy, [4][5][6][7] gated 3D imaging, [8][9][10] as well as interventional device guidance. [11][12][13][14][15][16][17][18][19] Traditional techniques often include external devices such as optical tracking of surface markers, [5][6][7]20 respiratory belts, 5 and ultrasonic diaphragm tracking.…”

Section: Introductionmentioning

confidence: 99%

Real‐time respiratory motion compensated roadmaps for hepatic arterial interventions

et al. 2021

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Purpose During hepatic arterial interventions, catheter or guidewire position is determined by referencing or overlaying a previously acquired static vessel roadmap. Respiratory motion leads to significant discrepancies between the true position and configuration of the hepatic arteries and the roadmap, which makes navigation and accurate catheter placement more challenging and time consuming. The purpose of this work was to develop a dynamic respiratory motion compensated device guidance system and evaluate the accuracy and real‐time performance in an in vivo porcine liver model. Methods The proposed device navigation system estimates a respiratory motion model for the hepatic vasculature from prenavigational X‐ray image sequences acquired under free‐breathing conditions with and without contrast enhancement. During device navigation, the respiratory state is tracked based on live fluoroscopic images and then used to estimate vessel deformation based on the previously determined motion model. Additionally, guidewires and catheters are segmented from the fluoroscopic images using a deep learning approach. The vessel and device information are combined and shown in a real‐time display. Two different display modes are evaluated within this work: (1) a compensated roadmap display, where the vessel roadmap is shown moving with the respiratory motion; (2) an inverse compensated device display, where the device representation is compensated for respiratory motion and overlaid on a static roadmap. A porcine study including seven animals was performed to evaluate the accuracy and real‐time performance of the system. In each pig, a guidewire and microcatheter with a radiopaque marker were navigated to distal branches of the hepatic arteries under fluoroscopic guidance. Motion compensated displays were generated showing real‐time overlays of the vessel roadmap and intravascular devices. The accuracy of the motion model was estimated by comparing the estimated vessel motion to the motion of the X‐ray visible marker. Results The median (minimum, maximum) error across animals was 1.08 mm (0.92 mm, 1.87 mm). Across different respiratory states and vessel branch levels, the odds of the guidewire tip being shown in the correct vessel branch were significantly higher (odds ratio = 3.12, p < 0.0001) for motion compensated displays compared to a noncompensated display (median probabilities of 86 and 69%, respectively). The average processing time per frame was 17 ms. Conclusions The proposed respiratory motion compensated device guidance system increased the accuracy of the displayed device position relative to the hepatic vasculature. Additionally, the provided display modes combine both vessel and device information and do not require the mental integration of different displays by the physician. The processing times were well within the range of conventional clinical frame rates.

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Feasibility of intra-acquisition motion correction for 4D DSA reconstruction for applications in the thorax and abdomen

Cited by 4 publications

References 11 publications

Optimization of quantitative time-resolved 3D (4D) digital subtraction angiography in a porcine liver model

Optimization of quantitative time-resolved 3D (4D) digital subtraction angiography in a porcine liver model

Measuring blood velocity using 4D‐DSA: A feasibility study

Real‐time respiratory motion compensated roadmaps for hepatic arterial interventions

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