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arXiv 2023年

作者： Huang, Yuxia Wu, Zhonghui Xu, Xiaoling Zhang, Minghui Wang, Shanshan Liu, Qiegen School of Information Engineering Nanchang University Nanchang330031 China Research Center for Biomedical Imaging SIAT Chinese Academy of Sciences Shenzhen518055 China

Multi-contrast magnetic resonance imaging is a significant and essential medical imaging technique. However, multi-contrast imaging has longer acquisition time and is easy to cause motion artifacts. In particular, the acquisition time for a T2-weighted image is prolonged due to its longer repetition time (TR). On the contrary, T1-weighted image has a shorter TR. Therefore, utilizing complementary information across T1 and T2-weighted image is a way to decrease the overall imaging time. Previous T1-assisted T2 reconstruction methods have mostly focused on image domain using whole-based image fusion approaches. The image domain reconstruction method has the defects of high computational complexity and limited flexibility. To address this issue, we propose a novel multi-contrast imaging method called partition-based k-space synthesis (PKS) which can achieve super reconstruction quality of T2-weighted image by feature fusion. Concretely, we first decompose fully-sampled T1 k-space data and under-sampled T2 k-space data into two sub-data, separately. Then two new objects are constructed by combining the two sub-T1/T2 data. After that, the two new objects as the whole data to realize the reconstruction of T2-weighted image. Finally, the objective T2 is synthesized by extracting the sub-T2 data of each part. Experimental results showed that our combined technique can achieve comparable or better results than using traditional k-space parallel imaging (SAKE) that processes each contrast independently. Copyright © 2023, The Authors. All rights reserved.

关键词： Magnetic resonance imaging

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Numerical Optimization of a 3D Multilayer Dielectric Geometry for MRI Applications

Numerical Optimization of a 3D Multilayer Dielectric Geometr...

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US National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM)

作者： Giuseppe Carluccio Christopher M. Collins Daniele Riccio Vincenzo Miranda Giuseppe Ruello Department of Electrical Engineering and Information Technology University of Napoli Federico II Italy Department of Radiology Center for Advanced Imaging Innovation and Research (CAI2R) and Bernard and Irene Schwartz Center for Biomedical Imaging New York University School of Medicine New York NY USA

ISBN: (数字)9781946815200

ISBN: (纸本)9798331513979

High-Permittivity Materials (HPM) are used in MRI to improve the radiofrequency $B 1$ field, resulting in an increase of the SNR and of the transmit efficiency in the tissues. In a previous study, it was shown that the field can be enhanced even more when, instead of a single HPM layer, a multilayer dielectric structure is used. This result was obtained with the optimization of the permittivity of the HPM layers with the fields calculated with a 2D cylindrical analytical solution. Since analytical solutions represent geometries that are not very heterogeneous and complex such as human tissues, in this study we have repeated the optimization with data computed with 3D numerical simulations. The fields were transmitted with a dipole to excite the head of a numerical body model surrounded by spherical dielectric shells. This study confirms that multilayer dielectric shells can enhance the field even more than a single HPM layer, with the improvement quantified as about 6.5 %. However, even if multilayer solutions can enhance the signal, their construction could face manufacturing challenges.

关键词： Geometry Radio frequency Solid modeling Three-dimensional displays Magnetic resonance imaging Nonhomogeneous media Dielectrics Numerical models Optimization Signal to noise ratio

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Hemodynamic Relevance Evaluation of Coronary Artery Anomaly During Stress Using FFR/IVUS in an Artificial Twin

JACC: Case Reports

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JACC: Case Reports 2025年第1期30卷 102729-102729页

作者： Illi, Joël Stark, Anselm W. Ilic, Marc Soares Loureiro, Dani Obrist, Dominik Shiri, Isaac Räber, Lorenz Haeberlin, Andreas Gräni, Christoph Department of Cardiology Inselspital Bern University Hospital University of Bern Bern Switzerland ARTORG Center for Biomedical Engineering Research University of Bern Switzerland Translational Imaging Center Sitem Center University of Bern Switzerland

Anomalous aortic origin of coronary artery can lead to ischemia. Due to the limitations of invasive catheterization dobutamine stress testing, an alternative noninvasive approach is desired. A 65-year-old woman with atypical chest pain was referred for coronary computed tomography angiography. Although coronary artery disease was excluded, a right anomalous aortic origin of coronary artery with an interarterial and intramural course was discovered. The patient underwent invasive coronary angiography with a dobutamine stress test, which revealed a pathologic fractional flow reserve (ie, dobutamine fractional flow reserve) of 0.76 (normal >0.8) and lateral ostial compression in dobutamine intravascular ultrasound. A physical replication, using a patient-specific 3-dimensional–printed phantom was created based on coronary computed tomography angiography and evaluated in a flow loop under the same hemodynamic rest and stress conditions. The 3-dimensional–printed phantom fractional flow reserve was similar with 0.78, and dobutamine intravascular ultrasound showed comparable lateral compression. © 2025 The Authors

关键词： 3D-printed patient-specific phantom 3DPSP AAOCA ACAOS additive manufacturing AM anomalous aortic origin of a coronary artery artificial twin CCTA coronary artery anomaly dobutamine FFR fractional flow reserve hemodynamic testing intravascular ultrasound IVUS

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Machine learning assisted mid-infrared spectrochemical fibrillar collagen imaging in clinical tissues

Machine learning assisted mid-infrared spectrochemical fibri...

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Advanced Chemical Microscopy for Life Science and Translational Medicine 2025

作者： Adi, Wihan Rubio Perez, Bryan E. Liu, Yuming Runkle, Sydney Eliceiri, Kevin W. Yesilkoy, Filiz Department of Biomedical Engineering University of Wisconsin-Madison MadisonWI53705 United States Department of Electrical and Computer Engineering University of Wisconsin-Madison MadisonWI53705 United States Center for Quantitative Cell Imaging University of Wisconsin-Madison MadisonWI53706 United States Department of Computer Science University of Wisconsin-Madison MadisonWI53705 United States Morgridge Institute for Research MadisonWI53706 United States

ISBN: (纸本)9781510684126

Label-free multimodal imaging methods are essential for comprehensive tissue analysis, particularly for studying the tumor microenvironment where changes in fibrillar collagen architecture are linked to cancer progression. This study presents a novel multimodal computational imaging approach combining mid-infrared spectral imaging (MIRSI) with second harmonic generation (SHG) microscopy to detect fibrillar collagen in biological tissues. Using SHG images as ground truth, a supervised machine learning (ML) model, specifically a random forest (RF) classifier, was trained to classify fibrillar collagen in mid-infrared hyperspectral images. The study utilized five human pancreatic tissue samples, encompassing 2.8 million MIRSI spectra for training and 68 million spectra for validation. The RF-MIRSI model demonstrated robust performance in collagen segmentation (boundary F-score: 0.8 at 4-pixel thresholds), orientation (Pearson’s R: 0.82), and alignment (Pearson’s R: 0.66) when compared to SHG ground truth. These findings highlight the potential of ML-driven label-free MIRSI for detailed collagen fiber and tumor microenvironment analysis, offering a complementary structural and chemical imaging tool for tumor pathology. © 2025 SPIE.

关键词： Tumors

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NIR-Ⅱ fluorescence visualization of ultrasound-induced blood–brain barrier opening for enhanced photothermal therapy against glioblastoma using indocyanine green microbubbles

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Science Bulletin 2022年第22期67卷 2316-2326页

作者： Simin Liang Dehong Hu Guofeng Li Duyang Gao Fei Li Hairong Zheng Min Pan Zonghai Sheng Department of Ultrasonography Shenzhen Hospital(Futian)of Guangzhou University of Chinese MedicineShenzhen 518034China Paul C.Lauterbur Research Center for Biomedical Imaging CAS Key Laboratory of Health InformaticsShenzhen Key Laboratory of Ultrasound Imaging and TherapyInstitute of Biomedical and Health EngineeringShenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China School of Biomedical Engineering Guangdong Medical UniversityDongguan 523808China

Focused ultrasound(FUS)-induced blood–brain barrier(BBB) opening is crucial for enhancing glioblastoma(GBM) therapies. However, an in vivo imaging approach with a high spatial–temporal resolution to monitor the BBB opening process in situ and synchronously is still lacking. Herein, we report the use of indocyanine green(ICG)-dopped microbubbles(MBs-ICG) for visualizing the FUS-induced BBB opening and enhancing the photothermal therapy(PTT) against GBM. The MBs-ICG show bright fluorescence in the second near-infrared window(NIR-II), ultrasound contrast, and ultrasound-induced size transformation properties. By virtue of complementary contrast properties, MBs-ICG can be successfully applied for cerebral vascular imaging with NIR-II fluorescence resolution of ~168.9 lm and ultrasound penetration depth of ~7 mm. We further demonstrate that MBs-ICG can be combined with FUS for in situ and synchronous visualization of the BBB opening with a NIR-II fluorescence signal-tobackground ratio of 6.2 ± 1.2. Finally, our data show that the MBs-ICG transform into lipid-ICG nanoparticles under FUS irradiation, which then rapidly penetrate the tumor tissues within 10 min and enhance PTT in orthotopic GBM-bearing mice. The multifunctional MBs-ICG approach provides a novel paradigm for monitoring BBB opening and enhancing GBM therapy.

关键词： NIR-II fluorescence imaging Ultrasound Blood-brain barrier Brain tumor Photothermal therapy

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The roles of bone remodeling in normal hematopoiesis and age-related hematological malignancies

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Bone research 2023年第2期11卷 273-291页

作者： Hengwei Zhang Jane LLiesveld Laura MCalvi Brea CLipe Lianping Xing Michael WBecker Edward MSchwarz Shu-Chi A.Yeh Center for Musculoskeletal Research University of Rochester Medical Center601 Elmwood AveBox 665RochesterNY14642USA Department of Pathology and Laboratory Medicine University of Rochester Medical CenterRochesterNYUSA Wilmot Cancer Center University of Rochester Medical CenterRochesterNYUSA Department of Medicine Division of Hematology/Oncology and Bone Marrow Transplantation ProgramUniversity of Rochester Medical CenterRochesterNYUSA Department of Medicine Division of Endocrinology/MetabolismUniversity of Rochester Medical CenterRochesterNYUSA Department of Orthopaedics University of Rochester Medical CenterRochesterNYUSA Department of Medicine Division of Allergy/Immunology/RheumatologyUniversity of Rochester Medical CenterRochesterNYUSA Department of Biomedical Engineering University of RochesterNYUSA Department of Physiology/Pharmacology University of Rochester Medical CenterRochesterNYUSA

Prior research establishing that bone interacts in coordination with the bone marrow microenvironment(BMME)to regulate hematopoietic homeostasis was largely based on analyses of individual bone-associated cell *** advances in intravital imaging has suggested that the expansion of hematopoietic stem cells(HSCs)and acute myeloid leukemia cells is restricted to bone marrow microdomains during a distinct stage of bone *** findings indicate that dynamic bone remodeling likely imposes additional heterogeneity within the BMME to yield differential clonal responses.A holistic understanding of the role of bone remodeling in regulating the stem cell niche and how these interactions are altered in age-related hematological malignancies will be critical to the development of novel *** advance this understanding,herein,we provide a synopsis of the cellular and molecular constituents that participate in bone turnover and their known connections to the hematopoietic ***,we elaborate on the coupling between bone remodeling and the BMME in homeostasis and age-related hematological malignancies and after treatment with bone-targeting *** then discuss unresolved questions and ambiguities that remain in the field.

关键词： remodeling homeostasis likely

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LoCI-DiffCom: Longitudinal Consistency-Informed Diffusion Model for 3D Infant Brain Image Completion

arXiv

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arXiv 2024年

作者： Zhu, Zihao Tao, Tianli Tao, Yitian Deng, Haowen Cai, Xinyi Wu, Gaofeng Wang, Kaidong Tang, Haifeng Zhu, Lixuan Gu, Zhuoyang Huang, Jiawei Shen, Dinggang Zhang, Han School of Biomedical Engineering Shanghai Tech University Shanghai China Shanghai United Imaging Intelligence Co. Ltd Shanghai China Shanghai Clinical Research and Trail Center Shanghai China

The infant brain undergoes rapid development in the first few years after birth. Compared to cross-sectional studies, longitudinal studies can depict the trajectories of infants’ brain development with higher accuracy, statistical power and flexibility. However, the collection of infant longitudinal magnetic resonance (MR) data suffers a notorious dropout problem, resulting in incomplete datasets with missing time points. This limitation significantly impedes subsequent neuroscience and clinical modeling. Yet, existing deep generative models are facing difficulties in missing brain image completion, due to sparse data and the nonlinear, dramatic contrast/geometric variations in the developing brain. We propose LoCI-DiffCom, a novel Longitudinal Consistency-Informed Diffusion model for infant brain image Completion, which integrates the images from preceding and subsequent time points to guide a diffusion model for generating high-fidelity missing data. Our designed LoCI module can work on highly sparse sequences, relying solely on data from two temporal points. Despite wide separation and diversity between age time points, our approach can extract individualized developmental features while ensuring context-aware consistency. Our experiments on a large infant brain MR dataset demonstrate its effectiveness with consistent performance on missing infant brain MR completion even in big gap scenarios, aiding in better delineation of early developmental trajectories. © 2024, CC BY.

关键词： Magnetic resonance imaging

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Masked Momentum Contrastive Dynamic Transformer for Self-Supervised Functional Connectivity Representation Learning

Masked Momentum Contrastive Dynamic Transformer for Self-Sup...

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IEEE International Symposium on biomedical imaging

作者： Jiale Cheng Dan Hu Zhengwang Wu Xinrui Yuan Gang Li Department of Radiology and Biomedical Research Imaging Center University of North Carolina at Chapel Hill Chapel Hill NC USA Joint Department of Biomedical Engineering University of North Carolina at Chapel Hill and North Carolina State University Chapel Hill NC USA

ISBN: (数字)9798331520526

ISBN: (纸本)9798331520533

Functional connectivity (FC) derived from functional MRI (fMRI) shows significant promise in predicting behavior and demographics using deep learning techniques. Incorporating vertex-wise FC maps, which capture fine-grained spatial details of neural activity, offers the potential to enhance FC-based prediction accuracy. However, fMRI data is inherently limited and noisy, challenging neural networks to reliably identify patterns within high-dimensional cortical vertices. Therefore, we design a novel Masked Momentum Contrastive Dynamic Transformer, which utilizes masked momentum contrastive pre-training to explore subject-specific features and enhances prediction accuracy by leveraging the temporal dynamics of FCs with a dynamic transformer. Specifically, our framework 1) learns effective subject-specific representations by treating vertex-wise FCs from different runs of an individual as distinct views and maximizing their affinity, and 2) employs a vertex-wise masking strategy to promote learning from limited data. Extensive experiments on gender classification and cognition prediction validate its superior performance on the Human Connectome Project dataset.

关键词： Biometrics Representation learning Accuracy Functional magnetic resonance imaging Transformers Feature extraction Cognition Spatiotemporal phenomena Noise measurement Reliability

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CAS-DIFFCOM: CASCADED DIFFUSION MODEL FOR INFANT LONGITUDINAL SUPER-RESOLUTION 3D MEDICAL IMAGE COMPLETION

arXiv

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arXiv 2024年

作者： Guo, Lianghu Tao, Tianli Cai, Xinyi Zhu, Zihao Huang, Jiawei Zhu, Lixuan Gu, Zhuoyang Tang, Haifeng Zhou, Rui Han, Siyan Liang, Yan Yang, Qing Shen, Dinggang Zhang, Han School of Biomedical Engineering ShanghaiTech University Shanghai China Shanghai United Imaging Intelligence Co. Ltd Shanghai China Shanghai Clinical Research and Trial Center Shanghai201210 China

Early infancy is a rapid and dynamic neurodevelopmental period for behavior and neurocognition. Longitudinal magnetic resonance imaging (MRI) is an effective tool to investigate such a crucial stage by capturing the developmental trajectories of the brain structures. However, longitudinal MRI acquisition always meets a serious data-missing problem due to participant dropout and failed scans, making longitudinal infant brain atlas construction and developmental trajectory delineation quite challenging. Thanks to the development of an AI-based generative model, neuroimage completion has become a powerful technique to retain as much available data as possible. However, current image completion methods usually suffer from inconsistency within each individual subject in the time dimension, compromising the overall quality. To solve this problem, our paper proposed a two-stage cascaded diffusion model, Cas-DiffCom, for dense and longitudinal 3D infant brain MRI completion and super-resolution. We applied our proposed method to the Baby Connectome Project (BCP) dataset. The experiment results validate that Cas-DiffCom achieves both individual consistency and high fidelity in longitudinal infant brain image completion. We further applied the generated infant brain images to two downstream tasks, brain tissue segmentation and developmental trajectory delineation, to declare its task-oriented potential in the neuroscience field. © 2024, CC BY.

关键词： Magnetic resonance imaging

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Low-dose intrapulmonary drug delivery device for studies on next-generation therapeutics in mice

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Journal of Controlled Release 2023年 359卷 287-301页

作者： Gracioso Martins, Ana Maria Snider, Douglas B. Popowski, Kristen D. Schuchard, Karl G. Tenorio, Matias Akunuri, Sandip Wee, Junghyun Peters, Kara J. Jansson, Anton Shirwaiker, Rohan Cheng, Ke Freytes, Donald O. Cruse, Glenn P. Department of Molecular Biomedical Sciences College of Veterinary Medicine North Carolina State University RaleighNC United States Comparative Medicine and Translational Research Training Program North Carolina State University RaleighNC United States Comparative Medicine Institute North Carolina State University RaleighNC United States Joint Department of Biomedical Engineering College of Engineering North Carolina State University & University of North Carolina-Chapel Hill NC United States Edward P. Fitts Department of Industrial and Systems Engineering North Carolina State University RaleighNC United States Department of Mechanical and Aerospace Engineering North Carolina State University RaleighNC United States Analytical Instrumentation Facility Monteith Research Center North Carolina State University RaleighNC United States

Although nebulizers have been developed for delivery of small molecules in human patients, no tunable device has been purpose-built for targeted delivery of modern large molecule and temperature-sensitive therapeutics to mice. Mice are used most of all species in biomedical research and have the highest number of induced models for human-relevant diseases and transgene models. Regulatory approval of large molecule therapeutics, including antibody therapies and modified RNA highlight the need for quantifiable dose delivery in mice to model human delivery, proof-of-concept studies, efficacy, and dose-response. To this end, we developed and characterized a tunable nebulization system composed of an ultrasonic transducer equipped with a mesh nebulizer fitted with a silicone restrictor plate modification to control the nebulization rate. We have identified the elements of design that influence the most critical factors to targeted delivery to the deep lungs of BALB/c mice. By comparing an in silico model of the mouse lung with experimental data, we were able to optimize and confirm the targeted delivery of over 99% of the initial volume to the deep portions of the mouse lung. The resulting nebulizer system provides targeted lung delivery efficiency far exceeding conventional nebulizers preventing waste of expensive biologics and large molecules during proof-of-concept and pre-clinical experiments involving mice. (Word Count =207). © 2023 Elsevier B.V.

关键词： Molecules

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