Home / Advanced Search

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
  • Articles
  • Online
Search Results (121)
  • Open Access

    ARTICLE

    Automatic Segmentation of Liver from Abdominal Computed Tomography Images Using Energy Feature

    Prabakaran Rajamanickam1, Shiloah Elizabeth Darmanayagam1,*, Sunil Retmin Raj Cyril Raj2

    CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 709-722, 2021, DOI:10.32604/cmc.2021.014347 - 12 January 2021

    Abstract Liver Segmentation is one of the challenging tasks in detecting and classifying liver tumors from Computed Tomography (CT) images. The segmentation of hepatic organ is more intricate task, owing to the fact that it possesses a sizeable quantum of vascularization. This paper proposes an algorithm for automatic seed point selection using energy feature for use in level set algorithm for segmentation of liver region in CT scans. The effectiveness of the method can be determined when used in a model to classify the liver CT images as tumorous or not. This involves segmentation of the… More >

  • Open Access

    ARTICLE

    Utility of the Aortic-Lesion-AttenuationDifference (ALAD) and Peak Early-Phase Enhancement Ratio (PEER) to differentiate benign from malignant renal masses

    Amanda E. Kahn1, Steven J. Lomax1, Essa M. Bajalia1, Colleen T. Ball2, David D. Thiel1

    Canadian Journal of Urology, Vol.27, No.4, pp. 10278-10284, 2020

    Abstract Introduction: To evaluate the utility of the Aorta-Lesion-Attenuation-Difference (ALAD) and Peak Early-phase Enhancement Ratio (PEER) on contrast-enhanced computed tomography (CT) to differentiate between the appearances of chromophobe renal cell carcinoma, clear cell renal cell carcinoma, and oncocytoma.
    Materials and methods: ALAD and PEER values were retrospectively measured by a reviewer from 119 patients with surgically resected renal masses (chromophobe renal cell carcinoma n = 29, clear cell renal cell carcinoma n = 28, and oncocytoma n = 62). The ALAD value is expressed as: ALAD = Hounsfield Units aorta – Hounsfield Units mass. PEER is expressed as… More >

  • Open Access

    RESIDENT’S CORNER

    Spontaneous extrusion of renal calculi presenting as a retroperitoneal abscess

    Patrick Houghton, Amanda Myers, Christian Ericson, David D. Thiel, Timothy D. Lyon

    Canadian Journal of Urology, Vol.27, No.5, pp. 10411-10414, 2020

    Abstract Spontaneous extrusion of a kidney stone is an extremely rare event with few reported cases.We present the unusual case of a 62-year-old female who presented with worsening of fever and fank pain over a 5 day period. Imaging revealed retroperitoneal and abdominal wall abscesses that upon evaluation of prior imaging were attributed to spontaneously extruded kidney stones. Prior reports suggest surgical exploration and extraction is the preferred treatment option for extruded renal calculi. Based on the experience presented here, conservative management may be an attractive frst-line treatment option for patients with extruded renal stones and More >

  • Open Access

    RESIDENT’S CORNER

    A case of acute vasitis mimicking an incarcerated inguinal hernia with subtle imaging findings

    Christopher Dall1,2, Kenneth Lim1,2, George Khludenev3, Krishnan Venkatesan1,2

    Canadian Journal of Urology, Vol.27, No.6, pp. 10496-10499, 2020

    Abstract Acute vasitis, or inflammation of the vas deferens, is a rare condition that classically presents with unilateral groin pain radiating into the scrotum and a bulge or induration along the inguinal canal. As a result, it mimics and is often mistaken for more common pathologies such as inguinal hernia, epididymo-orchitis or testicular torsion. A misdiagnosis may lead to unnecessary surgery and morbidity. Here, we present a case of acute vasitis which was originally diagnosed as an incarcerated inguinal hernia. Finally, we review the imaging findings, which can often be subtle and misinterpreted or missed. More >

  • Open Access

    ARTICLE

    INTEGRATED MICRO X-RAY TOMOGRAPHY AND PORE-SCALE SIMULATIONS FOR ACCURATE PERMEABILITY PREDICTIONS OF POROUS MEDIA

    Fangzhou Wanga,* , Gennifer A. Rileyb, Munonyedi Egboc, Melanie M. Derbyb, Gisuk Hwangc, Xianglin Lia,†

    Frontiers in Heat and Mass Transfer, Vol.15, pp. 1-8, 2020, DOI:10.5098/hmt.15.1

    Abstract This study conducts pore-scale simulations and experiments to estimate the permeability of two different types of porous materials: metal foams and sintered copper particles with porosities of approximately 0.9 and 0.4, respectively. The integration of micro X-ray computed tomography with pore-scale computational fluid dynamics simulations develops a unique tool to capture the pore-scale geometry of porous media and accurately predict non-isotropic permeability of porous media. The pore-scale simulation not only results in improved prediction accuracy but also has the capability to capture non-isotropic properties of heterogeneous materials, which is a huge challenge for empirical correlations,… More >

  • Open Access

    ARTICLE

    Damage Detection for CFRP Based on Planar Electrical Capacitance Tomography

    Wenru Fan, Chi Wang*

    Structural Durability & Health Monitoring, Vol.14, No.4, pp. 303-314, 2020, DOI:10.32604/sdhm.2020.011009 - 04 December 2020

    Abstract Due to the widespread use of carbon fiber reinforced polymer/plastic (CFRP), the nondestructive structural health monitoring for CFRP is playing an increasingly essential role. As a nonradiative, noninvasive and nondestructive detection technique, planar electrical capacitance tomography (PECT) electrodes array is employed in this paper to reconstruct the damage image according to the calculated dielectric constant changes. The shape and duty ratio of PECT electrodes are optimized according to the relations between sensitivity distribution and the dielectric constant of different anisotropic degrees. The sensitivity matrix of optimized PECT sensor is more uniform as the result shows, More >

  • Open Access

    ARTICLE

    Two-Dimensional Reconstruction of Heat Transfer in a Flat Flame Furnace through Computer-Based Tomography and Tunable-Diode-Laser Absorption Spectroscopy

    Xiaoyong Wang*

    FDMP-Fluid Dynamics & Materials Processing, Vol.16, No.5, pp. 857-869, 2020, DOI:10.32604/fdmp.2020.09565 - 09 October 2020

    Abstract To explore the inherent characteristics of combustion-induced heat transfer in a flat flame furnace, a sophisticated hybrid method is introduced by combining a computer-based tomography (CT)-algebraic iterative algorithm and Tunable Diode Laser Absorption Spectroscopy (TDLAS). This technique is used to analyze the distribution of vapor concentration and furnace temperature. It is shown that by using this strategy a variety of details can be obtained, which would otherwise be out of reach. More >

  • Open Access

    ARTICLE

    Effect of Data Augmentation of Renal Lesion Image by Nine-layer Convolutional Neural Network in Kidney CT

    Liying Wang1 , Zhiqiang Xu2, Shuihua Wang3,4,5,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.3, pp. 1001-1015, 2020, DOI:10.32604/cmes.2020.010753 - 21 August 2020

    Abstract Artificial Intelligence (AI) becomes one hotspot in the field of the medical images analysis and provides rather promising solution. Although some research has been explored in smart diagnosis for the common diseases of urinary system, some problems remain unsolved completely A nine-layer Convolutional Neural Network (CNN) is proposed in this paper to classify the renal Computed Tomography (CT) images. Four group of comparative experiments prove the structure of this CNN is optimal and can achieve good performance with average accuracy about 92.07 ± 1.67%. Although our renal CT data is not very large, we do More >

  • Open Access

    ARTICLE

    Machine Learning Model Comparison for Automatic Segmentation of Intracoronary Optical Coherence Tomography and Plaque Cap Thickness Quantification

    Caining Zhang1, Xiaopeng Guo2, Xiaoya Guo3, David Molony4, Huaguang Li2, Habib Samady4, Don P. Giddens4,5, Lambros Athanasiou6, Dalin Tang1*,7, Rencan Nie2,*, Jinde Cao8

    CMES-Computer Modeling in Engineering & Sciences, Vol.123, No.2, pp. 631-646, 2020, DOI:10.32604/cmes.2020.09718 - 01 May 2020

    Abstract Optical coherence tomography (OCT) is a new intravascular imaging technique with high resolution and could provide accurate morphological infor￾mation for plaques in coronary arteries. However, its segmentation is still com￾monly performed manually by experts which is time-consuming. The aim of this study was to develop automatic techniques to characterize plaque components and quantify plaque cap thickness using 3 machine learning methods including convolutional neural network (CNN) with U-Net architecture, CNN with Fully convolutional DenseNet (FC-DenseNet) architecture and support vector machine (SVM). In vivo OCT and intravascular ultrasound (IVUS) images were acquired from two patients at Emory… More >

  • Open Access

    ARTICLE

    A Patient-Specific Computational Fluid Dynamic Model of Middle Cerebral Artery Aneurysm Before and One Year After Surgery

    Shicheng He1, Juhui Qiu1, Wanling Liu1, Tieying Yin1, Dechuan Zhang2,*, Donghua Liao3,4, Haijun Zhang5, Yuxia Yin5, Guixue Wang1,*

    Molecular & Cellular Biomechanics, Vol.17, No.2, pp. 63-74, 2020, DOI:10.32604/mcb.2020.08750

    Abstract Computational fluid dynamics (CFD) has been widely used for studying intracranial aneurysm hemodynamics, while its use for guiding clinical strategy is still in development. In this study, CFD simulations helped inform treatment decision for a middle cerebral artery (MCA) aneurysm case was investigated. A patient with a 10.4 × 9.8 mm aneurysm attached with a small aneurysm at the edge of the trifurcation in the left MCA was included in this study. For removing the MCA aneurysm, two scenarios were considered: Plan-A involved clipping the small aneurysm and Plan-B involved clipping the whole aneurysm. A… More >

Displaying 61-70 on page 7 of 121. Per Page