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Non-invasive three-dimensional bone-vessel image fusion using black bone MRI based on FIESTA-C
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Description
AIM: To evaluate the image quality of bone-vessel fused volume-rendering (VR) images reconstructed by three-dimensional "black bone" magnetic resonance imaging (MRI) based on the fast imaging employing steady-state acquisition cycled phases (FIESTA-C) sequence and time-of-flight magnetic resonance angiography (TOF-MRA). MATERIALS AND METHODS: Seventeen patients were analysed in this retrospective study. All patients underwent both MRI techniques including FIESTA-C and TOF-MRA and computed tomography angiography (CTA). MRI- and CT-based bone-vessel VR images were reconstructed. Visual depictions of frontal and parietal branches from the superficial temporal artery (STA) were independently scored by three experienced radiological technologists using a four-grade system. RESULTS: In the visual evaluation, the scores of the both right and left frontal branches in MRI-based VR image were significantly larger those at CT (p<0.01, respectively). The scores of both the right and left parietal branches tended to be larger in MRI-based than that in CT-based VR imaging, but were not significantly so (p=0.06, 0.13 respectively). In the interobserver agreement analysis, K values were all good (range: 0.6-0.76) for STA branch evaluation in MRI-based VR images. CONCLUSION: MRI bone-vessel fused VR imaging can non-invasively depict STA frontal branches with better visibility compared to the CT-based VR imaging. This technique may be useful for the preoperative evaluation of donor branches for STA-middle cerebral artery bypass surgery. (C) 2019 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.
Journal
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- Clinical radiology
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Clinical radiology 74 (4), 326-326, 2019-04
Elsevier
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Keywords
Details 詳細情報について
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- CRID
- 1050565163352904192
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- NII Article ID
- 120006820169
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- ISSN
- 1365229X
- 00099260
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- HANDLE
- 2115/77189
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- PubMed
- 30717981
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- Text Lang
- en
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- Article Type
- journal article
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- Data Source
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- IRDB
- CiNii Articles
- OpenAIRE