Numerical simulation of intravascular ultrasound images based on patient-specific computed tomography.

Intravascular ultrasound (IVUS) provides detailed imaging of the artery circumference. Over the past years, the interest in artificial intelligence for interpretation and automatic analysis of IVUS images has grown. Development of such algorithms typically requires considerable amounts of annotated data.

SNR analysis of multi-aperture ultrasound and photoacoustic imaging systems.

Multi-aperture ultrasound and photoacoustic imaging systems improve the imaging quality in terms of contrast, field of view, and potentially resolution in comparison to single aperture setups. However, the behavior of signal-to-noise ratio (SNR) in these systems has not been well understood. In this study, we propose a low-parameter predictive model for signal analysis based on the Fourier diffraction theorem.

Influence of body mass index on functional and surgical outcomes in transaxillary thoracic outlet decompression for neurogenic thoracic outlet syndrome.

Objective: Despite an increase in prevalence of obesity over the last decades, few studies examine the influence of body mass index (BMI) on the outcome of thoracic outlet decompression (TOD) for neurogenic thoracic outlet syndrome (NTOS). However, it is important to understand the safety and efficacy of this procedure in patients with elevated BMI. This study aimed to determine the influence of BMI on surgical and functional outcomes following transaxillary TOD in patients with NTOS.

Longitudinal study on 3D ultrasound-based rupture risk assessment of Abdominal Aortic Aneurysms.

Aims: Image-based, patient-specific rupture risk analysis of AAAs is promising but it is limited by invasive and costly imaging modalities. Ultrasound (US) offers a safe, more affordable alternative, allowing multiple assessments during follow-up and enabling longitudinal studies on AAA rupture risk.

Methods And Results: This study used time-resolved three-dimensional US to assess AAA rupture risk parameters over time, based on vessel and intraluminal thrombus (ILT) geometry.

Dichroism-sensitive photoacoustic imaging for in-depth estimation of the optic axis in fibrous tissue.

Photoacoustic imaging (PAI) is a developing image modality that benefits from light-matter interaction and low acoustic attenuation to provide functional information on tissue composition at relatively large depths. Several studies have reported the potential of dichroism-sensitive photoacoustic (DS-PA) imaging to expand PAI capabilities by obtaining morphological information of tissue regarding anisotropy and predominant orientation. However, most of these studies have limited their analysis to superficial scanning of samples, where fluence effects are negligible.