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Open access segmentations of intraoperative brain tumor ultrasound images

Author(s): Behboodi B; Carton FX; Chabanas M; de Ribaupierre S; Solheim O; Munkvold BKR; Rivaz H; Xiao Y; Reinertsen I;

Purpose: Registration and segmentation of magnetic resonance (MR) and ultrasound (US) images could play an essential role in surgical planning and resectioning brain tumors. However, validating these techniques is challenging due to the scarcity of publicly accessible sources with high-quality gr ...

Article GUID: 39047165


Comparing a Portable Motion Analysis System against the Gold Standard for Potential Anterior Cruciate Ligament Injury Prevention and Screening

Author(s): Karatzas N; Abdelnour P; Corban JPAH; Zhao KY; Veilleux LN; Bergeron SG; Fevens T; Rivaz H; Babouras A; Martineau PA;

Knee kinematics during a drop vertical jump, measured by the Kinect V2 (Microsoft, Redmond, WA, USA), have been shown to be associated with an increased risk of non-contact anterior cruciate ligament injury. The accuracy and reliability of the Microsoft Kinect V2 has yet to be assessed specifical ...

Article GUID: 38544237


SCANED: Siamese collateral assessment network for evaluation of collaterals from ischemic damage

Author(s): Aktar M; Xiao Y; Tehrani AKZ; Tampieri D; Rivaz H; Kersten-Oertel M;

This study conducts collateral evaluation from ischemic damage using a deep learning-based Siamese network, addressing the challenges associated with a small and imbalanced dataset. The collateral network provides an alternative oxygen and nutrient supply pathway in ischemic stroke cases, influencing treatment decisions. Research in this area focuses on a ...

Article GUID: 38364600


On the soft tissue ultrasound elastography using FEM based inversion approach

Author(s): Eshaghinia SS; Taghvaeipour A; Aghdam MM; Rivaz H;

Elastography is a medical imaging modality that enables visualization of tissue stiffness. It involves quasi-static or harmonic mechanical stimulation of the tissue to generate a displacement field which is used as input in an inversion algorithm to reconstruct tissue elastic modulus. This paper considers quasi-static stimulation and presents a novel inve ...

Article GUID: 38240143


Bayesian workflow for the investigation of hierarchical classification models from tau-PET and structural MRI data across the Alzheimer's disease spectrum

Author(s): Belasso CJ; Cai Z; Bezgin G; Pascoal T; Stevenson J; Rahmouni N; Tissot C; Lussier F; Rosa-Neto P; Soucy JP; Rivaz H; Benali H;

Background: Alzheimer's disease (AD) diagnosis in its early stages remains difficult with current diagnostic approaches. Though tau neurofibrillary tangles (NFTs) generally follow the stereotypical pattern described by the Braak staging scheme, the network degeneration hypothesis (NDH) has su ...

Article GUID: 37920382


Deep learning for collateral evaluation in ischemic stroke with imbalanced data

Author(s): Aktar M; Reyes J; Tampieri D; Rivaz H; Xiao Y; Kersten-Oertel M;

Purpose: Collateral evaluation is typically done using visual inspection of cerebral images and thus suffers from intra- and inter-rater variability. Large open databases of ischemic stroke patients are rare, limiting the use of deep learning methods in treatment decision-making.
Methods: We adapted a pre-trained Eff ...

Article GUID: 36635594


Robust landmark-based brain shift correction with a Siamese neural network in ultrasound-guided brain tumor resection

Author(s): Pirhadi A; Salari S; Ahmad MO; Rivaz H; Xiao Y;

Purpose: In brain tumor surgery, tissue shift (called brain shift) can move the surgical target and invalidate the surgical plan. A cost-effective and flexible tool, intra-operative ultrasound (iUS) with robust image registration algorithms can effectively track brain shift to ensure surgical outcomes and safety. Methods: We proposed to employ a Siamese ...

Article GUID: 36306056


DiffeoRaptor: diffeomorphic inter-modal image registration using RaPTOR

Author(s): Masoumi N; Rivaz H; Ahmad MO; Xiao Y;

Purpose: Diffeomorphic image registration is essential in many medical imaging applications. Several registration algorithms of such type have been proposed, but primarily for intra-contrast alignment. Currently, efficient inter-modal/contrast diffeomorphic registration, which is vital in numerous applications, remains a challenging task. Methods: We pro ...

Article GUID: 36173541


Deep reconstruction of high-quality ultrasound images from raw plane-wave data: A simulation and in vivo study

Author(s): Goudarzi S; Rivaz H;

This paper presents a novel beamforming approach based on deep learning to get closer to the ideal Point Spread Function (PSF) in Plane-Wave Imaging (PWI). The proposed approach is designed to reconstruct a high-quality version of Tissue Reflectivity Function (TRF) from echo traces acquired by transducer elements using only a single plane-wave transmissio ...

Article GUID: 35728310


Statistical morphological analysis reveals characteristic paraspinal muscle asymmetry in unilateral lumbar disc herniation

Author(s): Xiao Y; Fortin M; Ahn J; Rivaz H; Peters TM; BattiƩ MC;

Growing evidence suggests an association of lumbar paraspinal muscle morphology with low back pain (LBP) and lumbar pathologies. Unilateral spinal disorders provide unique models to study this association, with implications for diagnosis, prognosis, and management. Statistical shape analysis is a technique that can identify signature shape variations rela ...

Article GUID: 34341427


Multimodal 3D ultrasound and CT in image-guided spinal surgery: public database and new registration algorithms

Author(s): Masoumi N; Belasso CJ; Ahmad MO; Benali H; Xiao Y; Rivaz H;

Purpose: Accurate multimodal registration of intraoperative ultrasound (US) and preoperative computed tomography (CT) is a challenging problem. Construction of public datasets of US and CT images can accelerate the development of such image registration techniques. This can help ensure the accuracy and safety of spinal surgeries using image-guided surgery ...

Article GUID: 33683544


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