Bolus characteristics based on Magnetic Resonance Angiography

Imaging of the abdominal wall vasculature prior to deep inferior epigastric artery (DIEA) perforator (DIEP) flaps has been shown to significantly improve surgical outcomes. Although computed tomography angiography (CTA) has been shown to be highly accurate, it is associated with radiation exposure, and as such modalities without radiation exposure have been sought. Magnetic resonance angiography (MRA) has been proposed as such an option. We conducted a pilot study comparing MRA with CTA and with operative findings in six consecutive patients undergoing DIEP flaps for breast reconstruction. The DIEA, superficial inferior epigastric artery (SIEA) and perforators were all assessed with each modality. We found that the DIEA and SIEA were accurately imaged with both CTA and MRA, but that while MRA could identify some major perforators, CTA was more accurate than MRA for perforator mapping. As such, while MRA does have a role in the imaging of DIEA perforators, CTA is still the preferred modality. On the basis of these findings, a larger study into the role for MRA in this setting is warranted.

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Advances in the pre‐operative planning of deep inferior epigastric artery perforator flaps: Magnetic resonance angiography

Rozen

Stella

Bowden

et al. 2008

Microsurgery

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Adaptive bolus chasing computed tomography angiography by a local linear time and space parameter varying model: modeling, control, identification, and experimental results

Cai

Wang

Bai

2010

Front. Electr. Electron. Eng. China

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A high contrast to noise ratio (CNR) is always desirable for contrast-enhanced computed tomography angiography (CTA). To ensure a high CNR of the vascular images in CTA and potentially reduce the radiation exposure and contrast usage, an adaptive bolus chasing method is proposed and evaluated compared to the existing constant-speed method. The proposed method is based on a local time and space parameter varying model of the contrast bolus. Optimal scan time for the next segment of the vasculature is estimated and predicted in real time and guides the computed tomography (CT) scanner table movement that guarantees that each segment of the vasculature is scanned with the maximum possible enhancement. Simulations and experimental results show that the proposed bolus chasing method outperforms the conventional constant-speed method substantially.

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Adaptive bolus chasing computed tomography angiography: Control scheme and experimental results

Cai

Erdahl

Zeng

et al. 2008

Biomedical Signal Processing and Control

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In this paper, a new adaptive bolus-chasing control scheme is proposed to synchronize the bolus peak in a patient's vascular system and the imaging aperture of a computed tomography (CT) scanner. The proposed control scheme is theoretically evaluated and experimentally tested on a modified Siemens SOMATOM Volume Zoom CT scanner. The first set of experimental results are reported on bolus-chasing CT angiography using realistic bolus dynamics, real-time CT imaging and adaptive table control with physical vasculature phantoms. The data demonstrate that the proposed control approach tracks the bolus propagation well, and clearly outperforms the constant-speed scheme that is the current clinical standard.

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Bolus characteristics based on Magnetic Resonance Angiography

Abstract: Background: A detailed contrast bolus propagation model is essential for optimizing boluschasing Computed Tomography Angiography (CTA). Bolus characteristics were studied using bolus-timing datasets from Magnetic Resonance Angiography (MRA) for adaptive controller design and validation.

Cited by 8 publications

References 15 publications

Advances in the pre‐operative planning of deep inferior epigastric artery perforator flaps: Magnetic resonance angiography

Advances in the pre‐operative planning of deep inferior epigastric artery perforator flaps: Magnetic resonance angiography

Adaptive bolus chasing computed tomography angiography by a local linear time and space parameter varying model: modeling, control, identification, and experimental results

Adaptive bolus chasing computed tomography angiography: Control scheme and experimental results

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