Prabakaran Rajamanickam¹, Shiloah Elizabeth Darmanayagam^1,*, Sunil Retmin Raj Cyril Raj²

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

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 region of interest (ROI) from… More >

Xiaoyong Wang^*

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

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 >

Liying Wang¹ , Zhiqiang Xu², Shuihua Wang^3,4,5,*

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

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 augment the training data by… More >

Athanasios Koutsoukis¹, Xavier Halna du Fretay², Patrick Dupouy³, Phalla Ou⁴, Jean-Pierre Laissy⁴, Jean-Michel Juliard⁵, Fabien Hyafil⁶, Pierre Aubry⁵

Congenital Heart Disease, Vol.12, No.6, pp. 726-732, 2017, DOI:10.1111/chd.12504

Abstract Objective: The diagnosis of anomalous connections of the coronary arteries (ANOCOR) requires an appropriate identification for the management of the patients involved. We studied the observer variability in the description and classification of ANOCOR between a nonexpert group of physicians and a group of expert physicians, using the ANOCOR cohort.
Patients and design: Consecutive patients identified by 71 referring cardiologists were included in the ANOCOR cohort. Anomalous connection was diagnosed by invasive and/or computed tomography coronary angiography. Angiographic images were reviewed by an angiographic committee with experience in this field. Both investigators and angiographic committee filled out a questionnaire to… More >

Waldemar F. Carlo¹, Steven T. Clark², Santiago Borasino³, Jeffrey A. Alten³

Congenital Heart Disease, Vol.12, No.4, pp. 540-545, 2017, DOI:10.1111/chd.12482

Abstract Objective: Acute kidney injury (AKI) is a frequent complication after cardiopulmonary bypass (CBP) for cardiac surgery in neonates. It is unclear if exposure to computed tomography angiography (CTA) in the preoperative period increases the risk of AKI. We hypothesized a short interval between CTA and CPB surgery would be associated with higher rates of AKI in infants.
Design: In this single center retrospective review of patients between 2012 and 2015, neonates less than one month old were analyzed if they had CTA prior to cardiac surgery with CPB. Baseline, demographic, fluid balance, and laboratory data was analyzed. AKI was staged… More >

Lidia R. Bons¹, Lucas Uchoa de Assis¹, Silvy Dekker¹, Robert M. Kauling¹, Judith A.A.E. Cuypers¹, Hence J.M. Verhagen², Ricardo P.J. Budde³, Jolien W. Roos‐Hesselink¹

Congenital Heart Disease, Vol.13, No.6, pp. 988-996, 2018, DOI:10.1111/chd.12663

Abstract Objective: The aim is to present current clinical practice of thoracic aorta screening in a tertiary referral center. We identified how often imaging techniques were used for screening and established the value of transthoracic echocardiography (TTE) in com‐ parison with computed tomography (CT) to detect aortic dilation. We also investigated which additional abnormalities of the heart, aorta or smaller arteries were discovered.
Design: All patients ≥15 years who visited our tertiary center in 2012‐2016 for first thoracic aortic screening were retrospectively included. Diameters of the sinus of Valsalva (SoV) and maximum ascending aorta (AA) were compared between TTE and CT.… More >

Bradley Johnson^1,2, Matthew Buelow^1,2, Michael Earing^1,2, Scott Cohen^1,2, Peter Bartz^1,2, Salil Ginde^1,2

Congenital Heart Disease, Vol.14, No.6, pp. 895-900, 2019, DOI:10.1111/chd.12839

Abstract Objective: As adults with congenital heart disease (CHD) grow older, preoperative screening for coronary artery disease (CAD) may be indicated prior to CHD surgery. Data regarding the indications for preoperative CAD screening in this population are limited. Current practice is to follow guidelines for patients with valvular heart dis‐ ease; however, the risk for CAD in certain congenital heart diagnoses may be higher than the general population. This study aimed to assess the results of preoperative CAD screening in patients prior to CHD surgery.
Design: Retrospective study.
Setting: Single tertiary center.
Patients: Patients ≥35 years that had CHD surgery from… More >

Christoph Gräni, Dominik C. Benz, Mathias Possner, Olivier F. Clerc, Fran Mikulicic, Jan Vontobel, Julia Stehli, Tobias A. Fuchs, Aju P. Pazhenkottil, Oliver Gaemperli, Philipp A. Kaufmann, Ronny R. Buechel

Congenital Heart Disease, Vol.12, No.1, pp. 49-57, 2017

Abstract Objective: To provide data on the value of fused cardiac hybrid imaging with coronary computed tomography angiography (CCTA) and positron emission tomography myocardial perfusion imaging (PET-MPI) in patients with complex coronary artery anomalies (CCAA).
Design/setting: This is a retrospective, single-center study.
Patients: Seven consecutive patients with CCAA (mean 57 ± 7 y, 86% were male) who underwent clinically indicated hybrid CCTA/PET-MPI between 2005 and 2015 in our clinic were included. The findings from both modalities and fused cardiac hybrid imaging were evaluated in these patients.
Results: Out of the seven patients with CCAA, two patients had Bland–White–Garland anomaly, two patients… More >

Shicheng He¹, Juhui Qiu¹, Wanling Liu¹, Tieying Yin¹, Dechuan Zhang^2,*, Donghua Liao^3,4, Haijun Zhang⁵, Yuxia Yin⁵, Guixue Wang^1,*

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 suitable treatment plan was decided… More >

Lijian Xu^1,2, Lekang Yin³, Fuyou Liang^1,2,*

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 the numerical methods used to… More >