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  • Open Access

    ARTICLE

    Application of Dual Modality Contrast Agent Combined with Multi-Scale Representation in Ultrasound-Magnetic Resonance Imaging Registration Scheme

    Mo Hou1,*, Weiyu Kevin Chiang2,*, Weiqiang Hong1, Maoyun Yang1, Wenhua Yu3,4

    Molecular & Cellular Biomechanics, Vol.17, No.4, pp. 165-178, 2020, DOI:10.32604/mcb.2020.010805 - 20 October 2020

    Abstract To achieve the image registration/fusion and perfect the quality of the integration, with dual modality contrast agent (DMCA), a novel multi-scale representation registration method between ultrasound imaging (US) and magnetic resonance imaging (MRI) is presented in the paper, and how DMCA influence on registration accuracy is chiefly discussed. Owing to US’s intense speckle noise, it is a tremendous challenge to register US with any other modality images. How to improve the algorithms for US processing has become the bottleneck, and in the short term it is difficult to have a breakthrough. In that case, DMCA… More >

  • Open Access

    ARTICLE

    Brain MRI Patient Identification Based on Capsule Network

    Shuqiao Liu, Junliang Li, Xiaojie Li*

    Journal on Internet of Things, Vol.2, No.4, pp. 135-144, 2020, DOI:10.32604/jiot.2020.09797 - 22 September 2020

    Abstract In the deep learning field, “Capsule” structure aims to overcome the shortcomings of traditional Convolutional Neural Networks (CNN) which are difficult to mine the relationship between sibling features. Capsule Net (CapsNet) is a new type of classification network structure with “Capsule” as network elements. It uses the “Squashing” algorithm as an activation function and Dynamic Routing as a network optimization method to achieve better classification performance. The main problem of the Brain Magnetic Resonance Imaging (Brain MRI) recognition algorithm is that the difference between Alzheimer’s disease (AD) image, the Mild Cognitive Impairment (MCI) image, and… More >

  • Open Access

    ARTICLE

    Validation of dominant and secondary sequence utilization in PI-RADS v2 for classifying prostatic lesions

    Nachiketh Soodana-Prakash1, R. Patricia Castillo2, Isildinha M. Reis3,4, Radka Stoyanova3,5, Deukwoo Kwon3, Maria C. Velasquez2, Bruno Nahar1, Pratik Kannabur1, Taylor A. Johnson1, Sanjaya K. Swain1,3, Natalie Ben-Yakar1, Vivek Venkatramani1, Chad Ritch1,3, Ramgopal Satyanarayana1,3, Mark L. Gonzalgo1,3, Dipen J. Parekh1,3, Leonardo Bittencourt6, Sanoj Punnen1,3

    Canadian Journal of Urology, Vol.26, No.3, pp. 9763-9768, 2019

    Abstract Introduction: To assess the secondary sequence rule in The Prostate Imaging Reporting Data System (PI-RADS) version 2 by comparing the detection of Grade group 1+ (GG1+) and 2+ (GG2+) cancers in PI-RADS 3, an upgraded PI-RADS 4, and true (non-upgraded) PI-RADS 4 targets.
    Materials and methods: We analyzed a total of 589 lesions scored as PI-RADS 3 or 4 obtained from 434 men who underwent mpMRI-US fusion biopsy from September 2015 to November 2017 for evaluation of GG1+ and GG2+ prostate cancer. PI-RADS 4 lesions were differentiated into those that were “upgraded” to PI-RADS 4 based on… More >

  • Open Access

    ARTICLE

    MicroRNA-1277 Inhibits Proliferation and Migration of Hepatocellular Carcinoma HepG2 Cells by Targeting and Suppressing BMP4 Expression and Reflects the Significant Indicative Role in Hepatocellular Carcinoma Pathology and Diagnosis After Magnetic Resonance Imaging Assessment

    Xinshan Cao*, Ling Xu, Quanyuan Liu*, Lijuan Yang, Na Li§, Xiaoxiao Li*

    Oncology Research, Vol.27, No.3, pp. 301-309, 2019, DOI:10.3727/096504018X15213058045841

    Abstract Our study aimed to investigate the roles and possible regulatory mechanism of miR-1277 in the development of hepatocellular carcinoma (HCC). HCC patients were identified from patients who were diagnosed with focal liver lesions using magnetic resonance imaging (MRI). The expression levels of miR-1277 in the serum of HCC patients and HepG2 cells were measured. Then miR-1277 mimic, miR-1277 inhibitor, or scramble RNA was transfected into HepG2 cells. The effects of miR-1277 overexpression and suppression on HepG2 cell proliferation, migration, and invasion were then investigated. Additionally, the expression levels of epithelial– mesenchymal transition (EMT)-related markers, including… More >

  • Open Access

    ARTICLE

    The utility of cardiac magnetic resonance imaging in postFontan surveillance

    Neil C. Zaki1,2, Michael S. Kelleman1, W. James Parks1,3, Timothy C. Slesnick1,3, Michael E. McConnell1,3, Matthew E. Oster1,3

    Congenital Heart Disease, Vol.14, No.2, pp. 140-146, 2019, DOI:10.1111/chd.12692

    Abstract Objective: Gated cardiac MRI offers the most detailed and accurate noninvasive method of assessing cardiac anatomy, particularly in patients with complex congenital heart disease. The proposed benefits of using cMRI as a routine screening tool in the Fontan population include early recognition of asymptomatic, postoperative anatomic and physiologic changes. In 2011, we therefore instituted at our center a recommended practice of cMRI screening in patients with Fontan physiology at 3 and 8 years postFontan operation. The purpose of this study was to determine the impact of this standardized practice of cMRI screening on the clinical management… More >

  • Open Access

    ABSTRACT

    Magnetic Resonance Image-Based Modeling for Neurosurgical Interventions

    Yongqiang Li1,#, Changxin Lai1,#, Chengchen Zhang2, Alexa Singer1, Suhao Qiu1, Boming Sun2, Michael S. Sacks3, Yuan Feng1,*

    Molecular & Cellular Biomechanics, Vol.16, Suppl.2, pp. 111-111, 2019, DOI:10.32604/mcb.2019.07098

    Abstract Surgeries such as implantation of deep brain stimulation devices require accurate placement of devices within the brain. Because placement affects performance, image guidance and robotic assistance techniques have been widely adopted. These methods require accurate prediction of brain deformation during and following implantation. In this study, a magnetic resonance (MR) image-based finite element (FE) model was proposed by using a coupled Eulerian-Lagrangian method. Anatomical accuracy was achieved by mapping image voxels directly to the volumetric mesh space. The potential utility was demonstrated by evaluating the effect of different surgical approaches on the deformation of the… More >

  • Open Access

    ABSTRACT

    Associations between Carotid Bifurcation Geometry and Atherosclerotic Plaque Vulnerability: A Chinese Atherosclerosis Risk Evaluation II Study

    Peirong Jiang1, Zhensen Chen2, Daniel S. Hippe2, Hiroko Watase3, Bin Sun1, Ruolan Lin1, Zheting Yang1, Yunjing Xue1,*, Xihai Zhao4,*, Chun Yuan2,4

    Molecular & Cellular Biomechanics, Vol.16, Suppl.2, pp. 34-35, 2019, DOI:10.32604/mcb.2019.07394

    Abstract This article has no abstract. More >

  • Open Access

    ABSTRACT

    Comparison of Aortic Flow Patterns in Patients with and without Aortic Valve Disease: Hemodynamic Simulation Based on PC-MRI and CTA Data

    Lijian Xu1,2, Lekang Yin3, Fuyou Liang1,2,*

    Molecular & Cellular Biomechanics, Vol.16, Suppl.1, pp. 71-72, 2019, DOI:10.32604/mcb.2019.05741

    Abstract Recent studies have revealed that aortic valve diseases are associated with the increased incidence of the aortopathy development. However, the influence of aortic valve diseases on aortic hemodynamics remains unclear. The purpose of this study was therefore to investigate the hemodynamic differences in patients with and without aortic valve disease through patient-specific simulations performed on two aorta models (BAV with severe stenosis vs. normal tricuspid aortic valve (TAV)). Realistic geometries and boundary conditions were obtained from computed tomography angiography (CTA) and phase-contrast magnetic resonance imaging (PC-MRI) measurements, respectively. In addition, 4D-MRI were performed to validate More >

  • Open Access

    ARTICLE

    Magnetic Resonance Image-Based Modeling for Neurosurgical Interventions

    Yongqiang Li1,#, Changxin Lai1,#, Chengchen Zhang2, Alexa Singer1, Suhao Qiu1, Boming Sun2, Michael S. Sacks3, Yuan Feng1,*

    Molecular & Cellular Biomechanics, Vol.16, No.4, pp. 245-251, 2019, DOI:10.32604/mcb.2019.07441

    Abstract Surgeries such as implantation of deep brain stimulation devices require accurate placement of devices within the brain. Because placement affects performance, image guidance and robotic assistance techniques have been widely adopted. These methods require accurate prediction of brain deformation during and following implantation. In this study, a magnetic resonance (MR) image-based finite element (FE) model was proposed by using a coupled Eulerian-Lagrangian method. Anatomical accuracy was achieved by mapping image voxels directly to the volumetric mesh space. The potential utility was demonstrated by evaluating the effect of different surgical approaches on the deformation of the… More >

  • Open Access

    ARTICLE

    New Concept in Stroke Diagnosis

    Ali. E. Dabiri1,2,*, Richard Leigh3, Ghassan S. Kassab1

    Molecular & Cellular Biomechanics, Vol.16, No.4, pp. 225-233, 2019, DOI:10.32604/mcb.2019.07962

    Abstract Stroke is a life-threatening event that is expected to more than double over the next 40 years. Approximately 85% of strokes are ischemic in nature and result from thromboembolic occlusion of a major cerebral artery or its branches. One of the diagnostic methods for detection of the cerebral ischemia is the gadolinium-enhanced MRI imaging. It is mainly used in patients to detect brain tissue damaged by an ischemic stroke and brain hemorrhage. These techniques are expensive, require sophisticated machines and are time consuming. A recent study in acute stroke patients showed gadolinium leakage into ocular… More >

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