Tootfinder

FPDANet: A Multi-Section Classification Model for Intelligent Screening of Fetal Ultrasound
Minglang Chen, Jie He, Caixu Xu, Bocheng Liang, Shengli Li, Guannan He, Xiongjie Tao
https://arxiv.org/abs/2506.06054

FPDANet: A Multi-Section Classification Model for Intelligent Screening of Fetal Ultrasound
ResNet has been widely used in image classification tasks due to its ability to model the residual dependence of constant mappings for linear computation. However, the ResNet method adopts a unidirectional transfer of features and lacks an effective method to correlate contextual information, which is not effective in classifying fetal ultrasound images in the classification task, and fetal ultrasound images have problems such as low contrast, high similarity, and high noise. Therefore, we prop…

Ultrasound toothbrush promises painless checks for hidden gum problems
https://phys.org/news/2025-06-ultrasound-toothbrush-painless-hidden-gum.html

Conformer-based Ultrasound-to-Speech Conversion
Ibrahim Ibrahimov, Zaink\'o Csaba, G\'abor Gosztolya
https://arxiv.org/abs/2506.03831 https://

Conformer-based Ultrasound-to-Speech Conversion
Deep neural networks have shown promising potential for ultrasound-to-speech conversion task towards Silent Speech Interfaces. In this work, we applied two Conformer-based DNN architectures (Base and one with bi-LSTM) for this task. Speaker-specific models were trained on the data of four speakers from the Ultrasuite-Tal80 dataset, while the generated mel spectrograms were synthesized to audio waveform using a HiFi-GAN vocoder. Compared to a standard 2D-CNN baseline, objective measurements (MSE…

This https://arxiv.org/abs/2502.03783 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

UltraBones100k: A reliable automated labeling method and large-scale dataset for ultrasound-based bone surface extraction
Ultrasound-based bone surface segmentation is crucial in computer-assisted orthopedic surgery. However, ultrasound images have limitations, including a low signal-to-noise ratio, and acoustic shadowing, which make interpretation difficult. Existing deep learning models for bone segmentation rely primarily on costly manual labeling by experts, limiting dataset size and model generalizability. Additionally, the complexity of ultrasound physics and acoustic shadow makes the images difficult for hu…

Scientists '3D Print' Material Deep Inside The Body Using Ultrasound
https://www.sciencealert.com/scientists-3d-print-material-deep-inside-the-body-using-ultrasound

Scientists '3D Print' Material Deep Inside The Body Using Ultrasound
Scientists in the US have created a way to 3D print materials inside the body using ultrasound.

Semi-analytical modeling of receive transfer function and thermal noise of integrated photonic ultrasound transducers
Sabiju Valiya Valappil, Peter Harmsma, Maurits van der Heiden, Martin Verweij, Paul van Neer
https://arxiv.org/abs/2506.02817

Semi-analytical modeling of receive transfer function and thermal noise of integrated photonic ultrasound transducers
Ultrasound transducers (UTs) are extensively used in several applications across a multitude of disciplines. A new type of UTs namely integrated photonic ultrasound transducers (IPUTs) possess superior performance due to the presence of optical interrogation systems, avoiding electric crosstalk and thermal electronic noise of the sensor. However, a major component of the IPUT's noise floor is its thermal acoustic noise. Several studies have been proposed to characterize IPUTs' behavior; neverth…

Helmet ultrasound for brain imaging in post-hemicraniectomy patients
Yang Zhang, Karteekeya Sastry, Iyla Rossi, Joshua Olick-Gibson, Jonathan J. Russin, Charles Y. Liu, Lihong V. Wang
https://arxiv.org/abs/2506.00626

Helmet ultrasound for brain imaging in post-hemicraniectomy patients
Noninvasive imaging deep into the adult brain at submillimeter and millisecond scales remains a challenge in medical imaging. Here, we report a helmet based ultrasound brain imager built from a customized helmet, a scanned ultrasound array, and three dimensional printing for real time imaging of human brain anatomical and functional information. Through its application to post hemicraniectomy patients in a sitting position, we achieved volumetric brain tissue structural, vascular, and blood flo…

This https://arxiv.org/abs/2411.11190 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

DeepSPV: A Deep Learning Pipeline for 3D Spleen Volume Estimation from 2D Ultrasound Images
Splenomegaly, the enlargement of the spleen, is an important clinical indicator for various associated medical conditions, such as sickle cell disease (SCD). Spleen length measured from 2D ultrasound is the most widely used metric for characterising spleen size. However, it is still considered a surrogate measure, and spleen volume remains the gold standard for assessing spleen size. Accurate spleen volume measurement typically requires 3D imaging modalities, such as computed tomography or magn…

This https://arxiv.org/abs/2408.02541 has been replaced.
initial toot: https://mastoxiv.page/@arX…

Modelling power-law ultrasound absorption using a time-fractional, static memory, Fourier pseudo-spectral method
We describe and implement a numerical method for modelling the frequency-dependent power-law absorption of ultrasound in tissue, as governed by the first order linear wave equations with a loss taking the form of a fractional time derivative. The (Caputo) fractional time derivative requires the full problem history which is contained within an iterative procedure. The resulting numerical method requires a fixed (static) memory cost irrespective of the number of time steps. The spatial domain is…

The Use of Alendronate to Enhance Transcranial Transmission of Focused Ultrasound for Successful Ablations in Brain
G. Sakharova, A. Krokhmal, R. Galimova, A. Khatmullina, D. Nabiullina, I. Buzaev, D. Avzaletdinova, D. Chupova, V. Khokhlova
https://arxiv.org/abs/2505.24349

The Use of Alendronate to Enhance Transcranial Transmission of Focused Ultrasound for Successful Ablations in Brain
Objective: The aim of this study was to evaluate the efficacy of alendronate therapy in improving bone density distribution in skull bones and corresponding ultrasound permeability in patients who had previously experienced unsuccessful transcranial MR-guided focused ultrasound (MRgFUS) ablation. The ability of alendronate treatment to modify skull bone characteristics and enhance the success rate of repeat MRgFUS procedures was assessed. Methods: Five patients with initially unsuccessful MRg…