AIMC Topic: Phantoms, Imaging
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Self-Supervised Optimization of RF Data Coherence for Improving Breast Reflection UCT Reconstruction.
IEEE transactions on ultrasonics, ferroelectrics, and frequency control
Aug 1, 2025
The reflection ultrasound computed tomography (UCT) is gaining prominence as an essential instrument for breast cancer screening. However, reflection UCT quality is often compromised by the variability in sound speed across breast tissue. Traditional...
Application of a pulmonary nodule detection program using AI technology to ultra-low-dose CT: differences in detection ability among various image reconstruction methods.
Japanese journal of radiology
Aug 1, 2025
PURPOSE: This study aimed to investigate the performance of an artificial intelligence (AI)-based lung nodule detection program in ultra-low-dose CT (ULDCT) imaging, with a focus on the influence of various image reconstruction methods on detection a...
Transcranial adaptive aberration correction using deep learning for phased-array ultrasound therapy.
Ultrasonics
Aug 1, 2025
This study aims to explore the feasibility of a deep learning approach to correct the distortion caused by the skull, thereby developing a transcranial adaptive focusing method for safe ultrasonic treatment in opening of the blood-brain barrier (BBB)...
DEISM: Deep Reconstruction Framework With Self-Calibration Mechanisms for Accelerated Chemical Exchange Saturation Transfer Imaging.
IEEE transactions on bio-medical engineering
Aug 1, 2025
The prolonged scan time of chemical exchange saturation transfer (CEST) imaging, caused by multiple data acquisitions over the varying saturation offset frequencies, necessitates accelerated imaging techniques. In this work, the artifact information ...
Optimization-based image reconstruction regularized with inter-spectral structural similarity for limited-angle dual-energy cone-beam CT.
Physics in medicine and biology
Jul 11, 2025
. Limited-angle dual-energy (DE) cone-beam CT (CBCT) is considered as a potential solution to achieve fast and low-dose DE imaging on current CBCT scanners without hardware modification. However, its clinical implementations are hindered by the chall...
Photon-counting micro-CT scanner for deep learning-enabled small animal perfusion imaging.
Physics in medicine and biology
Jul 7, 2025
In this work, we introduce a benchtop, turn-table photon-counting (PC) micro-computed tomography (CT) scanner and highlight its application for dynamic small animal perfusion imaging.Built on recently published hardware, the system now features a CdT...
Streamlining microsurgical procedures: a phantom trial of an artificial intelligence-driven robotic microscope assistant.
Neurosurgical focus
Jul 1, 2025
OBJECTIVE: Surgical microscopes are essential in microsurgery for magnification, focus, and illumination. However, surgeons must frequently adjust the microscope manually-typically via a handgrip or mouth switch-to maintain a well-centered view that ...
Automatic Detection of B-Lines in Lung Ultrasound Based on the Evaluation of Multiple Characteristic Parameters Using Raw RF Data.
Ultrasonic imaging
Jul 1, 2025
B-line artifacts in lung ultrasound, pivotal for diagnosing pulmonary conditions, warrant automated recognition to enhance diagnostic accuracy. In this paper, a lung ultrasound B-line vertical artifact identification method based on radio frequency (...
Improving Imaging Field of View of 3-D Transcranial Rat Brain Super-Resolution With Robotic Registered Compounding and Nonrigid Deformation Correction.
IEEE transactions on ultrasonics, ferroelectrics, and frequency control
Jul 1, 2025
Large field-of-view (FOV) brain imaging with ultrasound has become increasingly achievable with the application of 2-D probes capable of volumetric imaging. However, even in small animals the skull presents a significant barrier and conventional plan...
Improve robustness to mismatched sampling rate: An alternating deep low-rank approach for exponential function reconstruction and its biomedical magnetic resonance applications.
Journal of magnetic resonance (San Diego, Calif. : 1997)
Jul 1, 2025
Undersampling accelerates signal acquisition at the expense of introducing artifacts. Removing these artifacts is a fundamental problem in signal processing and this task is also called signal reconstruction. Through modeling signals as the superimpo...
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