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Fluorescence molecular tomography (FMT) has been a promising imaging tool because it allows an accurate localizaton and quantitative analysis of the fluorophore distribution in animals. It, however, is still a challenge since its reconstruction suffers from severe ill-posedness. This paper introduces a reconstruction frame based on three-way decisions (TWD) for the inverse problem of FMT. On the first stage, a reconstruction result on the whole region is obtained by a certain reconstruction algorithm. With TWD, the recovered result has been divided into three regions: fluorescent target region, boundary region, and background region. On the second stage, the boundary region and fluorescent target region have been combined into the permissible region of the target. Then a new reconstruction on the permissible region has been carried out and a new recovered result is obtained. With TWD again, the new result has been classified into three pairwise disjoint regions. And the new fluorescent target region is the final reconstructed result. Both numerical simulation experiments and a real mouse experiment are carried out to validate the feasibility and potential of the presented reconstruction frame. The results indicate that the proposed reconstuction strategy based on TWD can provide a good performance in FMT reconstruction.
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http://dx.doi.org/10.1364/JOSAA.35.001814 | DOI Listing |
Med Sci Sports Exerc
September 2025
Department of Engineering Mechanics, Tsinghua University, Beijing, CHINA.
Purpose: Develop a musculoskeletal-environment interaction model to reconstruct the dynamic-interaction process in skiing.
Methods: This study established a skier-ski-snow interaction (SSSI) model that integrated a 3D full-body musculoskeletal model, a flexible ski model, a ski boot model, a ski-snow contact model, and an air resistance model. An experimental method was developed to collect kinematic and kinetic data using IMUs, GPS, and plantar pressure measurement insoles, which were cost-effective and capable of capturing motion in large-scale field conditions.
Am J Sports Med
September 2025
American Hip Institute Research Foundation, Chicago, Illinois, USA.
Background: The ligamentum teres (LT) plays an important role in the general stability of the hip joint. A high prevalence of concomitant LT pathology has been noted in patients undergoing hip arthroscopy. This increased prevalence has led to the development of multiple treatment options, including reconstruction techniques using different types of grafts.
View Article and Find Full Text PDFMed Biol Eng Comput
September 2025
Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, 100084, China.
Sperm head morphology has been identified as a characteristic that can be used to predict a male's semen quality. Here, harnessing the close relationship considering sperm head shape to quality and morphology, we propose a joint learning model for sperm head segmentation and morphological category prediction. In the model, the sperm category prediction and the ellipticity, calculated by using the segmented sperm head profile, are used to synthesize the morphology to which the sperm belongs.
View Article and Find Full Text PDFIEEE Trans Image Process
September 2025
With the rise of short video content, efficient video summarization techniques for extracting key information have become crucial. However, existing methods struggle to capture the global temporal dependencies and maintain the semantic coherence of video content. Additionally, these methods are also influenced by noise during multi-channel feature fusion.
View Article and Find Full Text PDFNMR Biomed
October 2025
Department of Electronic Information Engineering, Nanchang University, Nanchang, China.
Diffusion models have emerged as promising tools for tackle the challenges of MRI reconstruction, demonstrating superior performance in sample generation compared to traditional methods. However, their application in dynamic MRI reconstruction remains relatively underexplored, primarily owing to the substantial demand for fully sampled training data, which is challenging to obtain because of the spatiotemporal complexity and high acquisition costs associated with dynamic MRI. To address this challenge, this paper proposes a zero-shot learning framework for accurate dynamic MR image reconstruction from undersampled k-space data directly.
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