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Radiomic Analysis of Multi-parametric MR Images (MRI) for Classification of Parotid Tumors

Journal of biomedical Physics and engineering 2022年第6期12卷 599-610页

作者： Fathi Kazerooni, Anahita Nabil, Mahnaz Alviri, Mohammadreza Koopaei, Soheila Salahshour, Faeze Assili, Sanam Saligheh Rad, Hamidreza Aghaghazvini, Leila Quantitative MR maging and Spectroscopy Group Research Center for Molecular and Cellular Imaging Tehran University of Medical Sciences Iran Department of Mathematics Islamic Azad University Qazvin Branch Qazvin Iran Quantitative MR Imaging and Spectroscopy Group Research Center for Molecular and Cellular Imaging Tehran University of Medical Sciences Iran Department of Radiology Advanced Diagnostic and Invasive Radiology Research Center Tehran University of Medical Sciences Tehran Iran Department of Medical Physics and Biomedical Engineering School of Medicine Tehran University of Medical Sciences Iran Department of Radiology Shariati Hospital Tehran University of Medical Sciences Tehran Iran

Background: Characterization of parotid tumors before surgery using multiparametric magnetic resonance imaging (MRI) scans can support clinical decision making about the best-suited therapeutic strategy for each patient. Objective: This study aims to differentiate benign from malignant parotid tumors through radiomics analysis of multi-parametric MR images, incorporating T2-w images with ADC-map and parametric maps generated from Dynamic Contrast Enhanced MRI (DCE-MRI). Material and Methods: MRI scans of 31 patients with histopathologically-confirmed parotid gland tumors (23 benign, 8 malignant) were included in this retrospective study. For DCE-MRI, semi-quantitative analysis, Tofts pharmacoki-netic (PK) modeling, and five-parameter sigmoid modeling were performed and parametric maps were generated. For each patient, borders of the tumors were delineated on whole tumor slices of T2-w image, ADC-map, and the late-enhance-ment dynamic series of DCE-MRI, creating regions-of-interest (ROIs). Radiomic analysis was performed for the specified ROIs. Results: Among the DCE-MRI-derived parametric maps, wash-in rate (WIR) and PK-derived Ktrans parameters surpassed the accuracy of other parameters based on support vector machine (SVM) classifier. Radiomics analysis of ADC-map out-performed the T2-w and DCE-MRI techniques using the simpler classifier, sug-gestive of its inherently high sensitivity and specificity. Radiomics analysis of the combination of T2-w image, ADC-map, and DCE-MRI parametric maps resulted in accuracy of 100% with both classifiers with fewer numbers of selected texture features than individual images. Conclusion: In conclusion, radiomics analysis is a reliable quantitative approach for discrimination of parotid tumors and can be employed as a computer-aided approach for pre-operative diagnosis and treatment planning of the patients. © Journal of biomedical Physics and engineering.

关键词： Dynamic contrast enhanced MRI

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3D diffusion MRI using simultaneous multi-slab with blipped-CAIPI (blipped-SMSlab) in a 4D k-space framework

arXiv

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arXiv 2023年

作者： Liu, Simin Zhang, Jieying Shi, Diwei Guo, Hua Center for Biomedical Imaging Research Department of Biomedical Engineering School of Medicine Tsinghua University Beijing China Center for Nano & Micro Mechanics Department of Engineering Mechanics Tsinghua University Beijing China

Purpose: To develop an efficient simultaneous multi-slab imaging method with blipped-controlled aliasing in parallel imaging (blipped-SMSlab) in a 4D k-space framework, and demonstrate its efficacy in high-resolution diffusion MRI (dMRI). Theory and Methods: First, the SMSlab 4D k-space signal expression is formulated, and the phase interferences from intra-slab and inter-slab encodings on the same physical z axis are analyzed. Then, the blipped-SMSlab dMRI sequence is designed, with blipped-CAIPI gradients for inter-slab encoding, and a 2D multi-band accelerated navigator for inter-kz-shot phase correction. Third, strategies are developed to remove the phase interferences, by RF phase modulation and/or phase correction during reconstruction, thus decoupling intra-slab and inter-slab encodings that are otherwise entangled. In vivo experiments are performed to validate the blipped-SMSlab method, and preliminarily evaluate its performance in high-resolution dMRI compared with traditional 2D imaging. Results: In the 4D k-space framework, inter-slab and intra-slab phase interferences of blipped-SMSlab are successfully removed using the proposed strategies. Compared with non-CAIPI sampling, the blipped-SMSlab acquisition reduces the g-factor and g-factor-related SNR penalty by about 12%. In addition, in vivo experiments show the SNR advantage of blipped-SMSlab dMRI over traditional 2D dMRI for 1.3 and 1.0 mm isotropic resolution imaging with matched acquisition time. Conclusion: Removing inter-slab and intra-slab phase interferences enables SMSlab dMRI with blipped-CAIPI in a 4D k-space framework. The proposed blipped-SMSlab dMRI is demonstrated to be more SNR-efficient than 2D dMRI and thus capable of high-quality, high-resolution fiber orientation detection. Copyright © 2023, The Authors. All rights reserved.

关键词： Magnetic resonance imaging

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Effects of Epidermal Pigmentation on the Accuracy of Hyperspectral versus Commercial Near-Infrared Spectroscopy Tissue Oximeters 16

Effects of Epidermal Pigmentation on the Accuracy of Hypersp...

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Optical Tomography and Spectroscopy of Tissue XVI 2025

作者： Niculescu, Sophie Eskandari, Rasa Li, Natalie C. Diop, Mamadou Department of Medical Biophysics Western University LondonON Canada School of Biomedical Engineering Western University LondonON Canada Imaging Program Lawson Health Research Institute LondonON Canada

ISBN: (纸本)9781510683761

The accuracy of pulse and tissue oximeters has been questioned due to potential bias related to skin pigmentation. Current commercial oximeters use a limited number of wavelengths to estimate tissue blood oxygen saturation (StO2), failing to account for additional light absorption caused by melanin which particularly important in individuals with darker skin. This limitation has resulted in inaccurate readings, missed diagnoses, and delayed treatment for these people. Interestingly, the absorption spectrum of melanin in the near-infrared region decreases quasi-monotonically with wavelength, similar to light scattering, which can be effectively mitigated by applying spectral derivatives to hyperspectral near-infrared spectroscopy (h-NIRS) measurements. Consequently, we hypothesize that h-NIRS can mitigate the confounding effects of melanin, to provide more accurate measurements of StO2 across diverse skin tones. This study evaluates the accuracy of h-NIRS in comparison to few-wavelength spectroscopy (i.e. simulated commercial tissue oximeters) through simulations and tissue-mimicking phantom experiments. The accuracy of h-NIRS for determining StO2 was assessed against two "virtual devices", each mimicking a commercially available tissue oximeter (INVOS-5100c and NIRO-200NX). Results showed significant skin tone-dependent biases of the simulated commercial devices, while h-NIRS demonstrated consistently low errors ( © 2025 SPIE.

关键词： Near infrared spectroscopy

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Safety,dosimetry,and efficacy of an optimized long-acting somatostatin analog for peptide receptor radionuclide therapy in metastatic neuroendocrine tumors:From preclinical testing to first-in-human study

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Acta Pharmaceutica Sinica B 2025年第2期15卷 707-721页

作者： Wei Guo Xuejun Wen Yuhang Chen Tianzhi Zhao Jia Liu Yucen Tao Hao Fu Hongjian Wang Weizhi Xu Yizhen Pang Liang Zhao Jingxiong Huang Pengfei Xu Zhide Guo Weibing Miao Jingjing Zhang Xiaoyuan Chen Haojun Chen Department of Nuclear Medicine and Minnan PET Center Xiamen Key Laboratory of Radiopharmaceuticalsthe First Affiliated Hospital of Xiamen UniversitySchool of MedicineXiamen UniversityXiamen 361102China School of Clinical Medicine Fujian Medical UniversityFuzhou 350005China State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics&Center for Molecular Imaging and Translational Medicine School of Public HealthXiamen UniversityXiamen 361102China Departments of Diagnostic Radiology SurgeryChemical and Biomolecular Engineeringand Biomedical EngineeringYong Loo Lin School of Medicine and College of Design and EngineeringNational University of SingaporeSingapore 138667Singapore Clinical Imaging Research Centre Centre for Translational MedicineYong Loo Lin School of MedicineNational University of SingaporeSingapore 138667Singapore Nanomedicine Translational Research Program NUS Center for NanomedicineYong Loo Lin School of MedicineNational University of SingaporeSingapore 138667Singapore Department of Nuclear Medicine the First Affiliated HospitalFujian Medical UniversityFuzhou 350005China Department of Nuclear Medicine National Regional Medical CenterBinhai Campus of the First Affiliated HospitalFujian Medical UniversityFuzhou 350212China Fujian Key Laboratory of Precision Medicine for Cancer the First Affiliated HospitalFujian Medical UniversityFuzhou 350005China

Peptide receptor radionuclide therapy(PRRT)with radiolabeled SSTR2 agonists is a treatment option that is highly effective in controlling metastatic and progressive neuroendocrine tumors(NETs).Previous studies have shown that an SSTR2 agonist combined with albumin binding moiety Evans blue(denoted as^(177)Lu-EB-TATE)is characterized by a higher tumor uptake and residence time in preclinical models and in patients with metastatic *** study aimed to enhance the in vivo stability,pharmacokinetics,and pharmacodynamics of^(177)Lu-EB-TATE by replacing the maleimide-thiol group with a polyethylene glycol chain,resulting in a novel EB conjugated SSTR2-targeting radiopharmaceutical,^(177)Lu-LNC1010,for *** preclinical studies,^(177)Lu-LNC1010 exhibited good stability and SSTR2-binding affinity in AR42J tumor cells and enhanced uptake and prolonged retention in AR42J tumor ***,we presented the first-in-human dose escalation study of^(177)Lu-LNC1010 in patients with advanced/metastatic NETs.^(177)Lu-LNC1010 was well-tolerated by all patients,with minor adverse effects,and exhibited significant uptake and prolonged retention in tumor lesions,with higher tumor radiation doses than those of^(177)*** PRRT efficacy results showed an 83%disease control rate and a 42%overall response rate after two^(177)Lu-LNC1010 treatment *** encouraging findings warrant further investigations through multicenter,prospective,and randomized controlled trials.

关键词： Radiolabeled somatostatin analog Neuroendocrine tumor Evans blue ^(177)Lu-LNC1010 Peptide receptor radionuclide therapy First-in-human dose escalation study

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U-Star: AN Asymmetric U-Shaped Network Based on Element-Wise Multiplication to Segment Nuclei in H&E Stained Histological Images 22

U-Star: AN Asymmetric U-Shaped Network Based on Element-Wise...

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22nd IEEE International Symposium on biomedical imaging, ISBI 2025

作者： Yang, Guangzhengao Zhang, Li Zhao, Jie Chen, Zifan Li, Haoshen Dong, Bin Center for Data Science Peking University China Peking University National Engineering Laboratory for Big Data Analysis and Applications China Peking University Changsha Institute for Computing and Digital Economy China Beijing International Center for Mathematical Research Peking University China Center for Machine Learning Research Peking University China National Biomedical Imaging Center Peking University China

ISBN: (纸本)9798331520526

Nuclei segmentation in Hematoxylin and Eosin (H&E) stained images plays a crucial role in cancer diagnosis and pathological evaluation, enabling pathologists to identify abnormal cells and assess their morphology and distribution. While current automated nuclei segmentation methods predominantly employ convolutional neural networks and attention mechanisms, the potential of element-wise multiplication has been largely unexplored. This paper introduces U-Star, a novel asymmetric segmentation network based on the star block that leverages element-wise multiplication. U-Star adopts the classic encoder-decoder architecture and innovatively implements star-connection as an alternative to traditional skip-connections. In experiments on an H&E stained image dataset, U-Star achieved superior performance with a Dice coefficient of 0.8783, accuracy of 0.9089, and IoU of 0.7929, significantly outperforming baseline models. Extensive ablation studies validate the effectiveness of the star-connection and demonstrate the advantages of our proposed framework. Beyond advancing the application of element-wise multiplication techniques, U-Star shows promising potential for broader applications in medical image segmentation. © 2025 IEEE.

关键词： Image segmentation

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Development and Validation of a Deep-Learning Network for Detecting Congenital Heart Disease from Multi-View Multi-Modal Transthoracic Echocardiograms

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research 2024年第4期7卷 433-441页

作者： Mingmei Cheng Jing Wang Xiaofeng Liu Yanzhong Wang Qun Wu Fangyun Wang Pei Li Binbin Wang Xin Zhang Wanqing Xie Department of Intelligent Medical Engineering School of Biomedical EngineeringDepartment of PsychologySchool of Mental Health and Psychological SciencesAnhui Medical UniversityHefei 230011China Heart Center Beijing Children’s HospitalCapital Medical UniversityNational Center for Children’s HealthBeijing 10045China School of Basic Medical Sciences Capital Medical UniversityBeijing 10069China Gordon Center for Medical Imaging Harvard Medical Schooland Massachusetts General HospitalBostonMA 02114USA School of Life Course and Population Sciences Faculty of Life Science and MedicineKing’s College LondonLondonUK Center for Genetics National Research Institute for Family PlanningBeijing 100730China Graduated School Peking Union Medical CollegeBeijing 100730China Beth Israel Deaconess Medical Center Harvard Medical SchoolHarvard UniversityBostonMA 02215USA

Early detection and treatment of congenital heart disease(CHD)can significantly improve the prognosis of ***,inexperienced sonographers often face difficulties in recognizing CHD through transthoracic echocardiogram(TTE)*** this study,2-dimensional(2D)and Doppler TTEs of children collected from 2 clinical groups from Beijing Children's Hospital between 2018 and 2022 were analyzed,including views of apical 4 chamber,subxiphoid long-axis view of 2 atria,parasternal long-axis view of the left ventricle,parasternal short-axis view of aorta,and suprasternal long-axis view.A deep learning(DL)framework was developed to identify cardiac views,integrate information from various views and modalities,visualize the high-risk region,and predict the probability of the subject being normal or having an atrial septal defect(ASD)or a ventricular septaldefect(VSD).

关键词： septal prognosis thoracic

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A Quantitative Comparison of Electrode Positions for Respiratory Surface EMG

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IEEE Transactions on biomedical engineering 2025年 PP卷 PP页

作者： Oltmann, Andra Graßhoff, Jan Lange, Nils Knopp, Tobias Rostalski, Philipp Fraunhofer IMTE Fraunhofer Research Institution for Individualized and Cell-Based Medical Engineering Lübeck23562 Germany Institute for Biomedical Imaging Hamburg University of Technology Hamburg Germany Section for Biomedical Imaging University Medical Center Hamburg-Eppendorf Hamburg Germany Institute for Electrical Engineering in Medicine University of Lübeck Lübeck Germany

Objective: Respiratory surface electromyography (sEMG) is a promising physiological signal for analyzing respiratory effort, patient-ventilator asynchrony, and respiratory training. In clinical research, a wide variety of different setups are used and no consensus has yet been reached on the positioning of electrodes. Therefore, this work aims to quantitatively compare both unilateral and bilateral bipolar electrode leads. Methods: Recordings of diaphragmatic and intercostal muscle activity were performed in 20 young and healthy adults using a setup with 64 electrodes placed in relation to prominent anatomical lines. Subjects completed three breathing maneuvers: 300 s quiet breathing, 5 maximum inspiratory pressure (MIP) trials, and 15 breaths of resistance breathing at 20 % of the MIP. To quantify the performance of differential electrode leads, three metrics were determined: the ratio between inspiratory muscle activity and (1) baseline noise (SNRbase), (2) expiratory muscle activity (SNRexp), and (3) ECG interference (SNREMG-ECG). Results: The study revealed considerable differences between bipolar electrode positions. Our results support the use of bilateral positions on the midclavicular line and parasternal line for measuring diaphragm and intercostal activity. For intercostal muscles, there is a high flexibility in positioning electrodes more lateral or medial, if necessary. Unilateral leads do not appear to outperform the bilateral configuration as SNR metrics were consistently smaller. Conclusion: This study provides recommendations for electrode placements and is a first step towards standardization of respiratory sEMG measurements. Significance: This electrode lead standardization will be essential to increase clinical acceptance in the future. © 2025 IEEE Computer Society. All rights reserved.

关键词： Clinical research

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System-level time computation and representation in the suprachiasmatic nucleus revealed by large-scale calcium imaging and machine learning

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细胞研究（英文版） 2024年第7期34卷 493-503页

作者： Ziehen Wang Jing Yu Muyue Zhai Zehua Wang Kaiwen Sheng Yu Zhu Tianyu Wang Mianzhi Liu Lu Wang Miao Yan Jue Zhang Ying Xu Xianhua Wang Lei Ma Wei Hu Heping Cheng National Biomedical Imaging Center State Key Laboratory of Membrane BiologyInstitute of Molecular MedicinePeking-Tsinghua Center for Life SciencesCollege of Future TechnologyPeking UniversityBeijingChina Research Unit of Mitochondria in Brain Diseases Chinese Academy of Medical SciencesPKU-Nanjing Institute of Translational MedicineNanjingJiangsuChina National Biomedical Imaging Center State Key Laboratory of Membrane BiologyInstitute of Molecular MedicinePeking-Tsinghua Center for Life SciencesCollege of Future TechnologyPeking UniversityBeijingChina Wangxuan Institute of Computer Technology Peking UniversityBeijingChina Academy for Advanced Interdisciplinary Studies Peking UniversityBeijingChina Beijing Academy of Artificial Intelligence BeijingChina Department of Bioengineering Stanford UniversityStanfordCAUSA Beijing Academy of Artificial Intelligence BeijingChina Academy for Advanced Interdisciplinary Studies Peking UniversityBeijingChina College of Engineering Peking UniversityBeijingChina Jiangsu Key Laboratory of Neuropsychiatric Diseases and Cambridge-Su Genomic Resource Center Medical School of Soochow UniversitySuzhouJiangsuChina National Biomedical Imaging Center State Key Laboratory of Membrane BiologyInstitute of Molecular MedicinePeking-Tsinghua Center for Life SciencesCollege of Future TechnologyPeking UniversityBeijingChina Beijing Academy of Artificial Intelligence BeijingChina Wangxuan Institute of Computer Technology Peking UniversityBeijingChina

The suprachiasmatic nucleus(SCN)is the mammalian central circadian pacemaker with heterogeneous neurons acting in concert while each neuron harbors a self-sustained molecular ***,how system-level SCN signals encode time of the day remains *** we show that population-level Ca2+signals predict hourly time,via a group decision-making mechanism coupled with a spatially modular time feature representation in the ***,we developed a high-speed dual-view two-photon microscope for volumetric Ca2+imaging of up to 9000 GABAergic neurons in adult SCN slices,and leveraged machine learning methods to capture emergent properties from multiscale Ca2+signals as a *** achieved hourly time prediction by polling random cohorts of SCN neurons,reaching 99.0％accuracy at a cohort size of ***,we revealed that functional neuron subtypes identified by contrastive learning tend to aggregate separately in the SCN space,giving rise to bilaterally symmetrical ripple-like modular *** modules represent distinctive time features,such that a module-specifically learned time predictor can also accurately decode hourly time from random polling of the same *** findings open a new paradigm in deciphering the design principle of the biological clock at the system level.

关键词： representation nucleus learning imaging time calcium computation large-scale machine revealed

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Study of Cell Encapsulation System in Using Thai Silk Fibroin-Based Hydrogel

Study of Cell Encapsulation System in Using Thai Silk Fibroi...

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biomedical engineering International Conference (BMEiCON)

作者： Nitchaya Suksomthong Sasitorn Aueviriyavit Juthamas Ratanavaraporn Interdisciplinary Program of Biomedical Engineering Faculty of Engineering Chulalongkorn University Bangkok Thailand Nano Safety and Bioactivity Research Team National Nanotechnology Center National Science and Technology Development Agency (NSTDA) Pathum Thani Thailand Biomedical Engineering Program Biomedical Engineering Research Center Biomaterial Engineering for Medical and Health Research Unit Faculty of Engineering Chulalongkorn University Bangkok Thailand

Designing biomimetic tissue models and developing scaffolds under cell-compatible protocols are a challenge in the field of tissue engineering. Cell encapsulation technique was selected with hydrogel fabrication due to its similarity to the condition within the human body. This study proposed SF-based hydrogels with the aim of application as cell encapsulation matrix. The vital properties, including gelation, diffusion, and cell viability were evaluated. SF/DMPG hydrogels exhibited rapid gelation and sufficient diffusion. L929 cells encapsulated in SF/DMPG survived after the fabrication process, with proliferation occurred at day 1 of culture which was done in static condition. The developed hydrogels showed potential application as a cell encapsulation matrix using tissue engineering, especially bioink.

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Sterility and Endotoxin of Thai Silk Fibroin Solution in a Production Conformed to ISO13485 Standard 15

Sterility and Endotoxin of Thai Silk Fibroin Solution in a P...

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15th biomedical engineering International Conference, BMEiCON 2023

作者： Rattana, Aksarapak Yamdech, Rungnapha Damrongsakkul, Siriporn Rattanavaraporn, Juthamas Thongnuek, Peerapat Kanokpanont, Sorada Mota, Antonella Nopprang, Phatcharaphon Sangkitporn, Siripakorn Dambua, Acharaporn Boonchu, Patcharaporn Suparak, Supaporn Dhepakson, Panadda Jamkratoke, Jutarat Center of Excellence in Biomaterial Engineering in Medical and Health Thailand Chulalongkorn University Department of Chemical Engineering Bangkok Thailand Chulalongkorn University Biomedical Engineering Program Faculty of Engineering Bangkok Thailand University of Trento BIOtech Research Center Department of Industrial Engineering TN Mattarello Italy Ministry of Public Health Advanced Therapy Medicinal Product Center Department of Medical Sciences Nonthaburi Thailand The Queen Sirikit Sericulture Center Nakhon Ratchasima Nakorn Ratchasima Thailand

ISBN: (纸本)9798350345247

This is the first report of sterile Thai silk fibroin (SF) solution (2-4% (w/v) in water) production at semi-commercial scale under the medical device management system conforming to standard ISO13485:2016. Thai silk cocoons (Bombyx mori, local strain, named Nangnoi Srisaket 1) was maintained, cultured and produced in controlled conditions at The Queen Sirikit Sericulture center Nakhon Ratchasima, Thailand. The GMP (Medical Device) conformed protocol was optimized. The degummed silk fibers were dissolved in concentrated ionic liquid and purified in the clean room facility of the Department of Medical Sciences, Ministry of Public Health, Thailand. With minimal sterilization of the end product (4%w/w SF Solution), sterility and endotoxin test of the product indicated that the purified proteins were negative for bacteria, mycobacteria, yeast and fungi. The endotoxin levels of all inputs, intermediates and the product was © 2023 IEEE.

关键词： Purification

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