Spatiotemporal Registration of 3-D Multi-perspective Ultrasound Images of Abdominal Aortic Aneurysms

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Samenvatting

Methods for patient-specific abdominal aortic aneurysm (AAA) progression monitoring and rupture risk assessment are widely investigated. Three-dimensional ultrasound can visualize the AAA's complex geometry and displacement fields. However, ultrasound has a limited field of view and low frame rate (i.e., 3–8 Hz). This article describes an approach to enhance the temporal resolution and the field of view. First, the frame rate was increased for each data set by sequencing multiple blood pulse cycles into one cycle. The sequencing method uses the original frame rate and the estimated pulse wave rate obtained from AAA distension curves. Second, the temporal registration was applied to multi-perspective acquisitions of the same AAA. Third, the field of view was increased through spatial registration and fusion using an image feature–based phase-only correlation method and a wavelet transform, respectively. Temporal sequencing was fully correct in aortic phantoms and was successful in 51 of 62 AAA patients, yielding a factor 5 frame rate increase. Spatial registration of proximal and distal ultrasound acquisitions was successful in 32 of 37 different AAA patients, based on the comparison between the fused ultrasound and computed tomography segmentation (95th percentile Haussdorf distances and similarity indices of 4.2 ± 1.7 mm and 0.92 ± 0.02 mm, respectively). Furthermore, the field of view was enlarged by 9%–49%.

Originele taal-2Engels
Pagina's (van-tot)318-332
Aantal pagina's15
TijdschriftUltrasound in Medicine and Biology
Volume49
Nummer van het tijdschrift1
DOI's
StatusGepubliceerd - jan. 2023

Bibliografische nota

Funding Information:
This work is part of the Multiperspective Ultrasound Strain Imaging & Elastography (MUSE) project, which has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 Research and Innovation Programme (ERC Starting Grant 757958).

Publisher Copyright:
© 2022 The Authors

Financiering

FinanciersFinanciernummer
European Union’s Horizon Europe research and innovation programme
European Research Council
Horizon 2020757958

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