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Dive into the research topics where Hyuk-Jae Chang is active.

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Featured researches published by Hyuk-Jae Chang.


IEEE Transactions on Biomedical Engineering | 2018

Accelerated Cardiac Diffusion Tensor Imaging Using Joint Low-Rank and Sparsity Constraints

Sen Ma; Christopher Nguyen; Anthony G. Christodoulou; Daniel Luthringer; J. Kobashigawa; Sang Eun Lee; Hyuk-Jae Chang; Debiao Li

Objective: The purpose of this paper is to accelerate cardiac diffusion tensor imaging (CDTI) by integrating low-rankness and compressed sensing. Methods: Diffusion-weighted images exhibit both transform sparsity and low-rankness. These properties can jointly be exploited to accelerate CDTI, especially when a phase map is applied to correct for the phase inconsistency across diffusion directions, thereby enhancing low-rankness. The proposed method is evaluated both ex vivo and in vivo, and is compared to methods using either a low-rank or sparsity constraint alone. Results: Compared to using a low-rank or sparsity constraint alone, the proposed method preserves more accurate helix angle features, the transmural continuum across the myocardium wall, and mean diffusivity at higher acceleration, while yielding significantly lower bias and higher intraclass correlation coefficient. Conclusion: Low-rankness and compressed sensing together facilitate acceleration for both ex vivo and in vivo CDTI, improving reconstruction accuracy compared to employing either constraint alone. Significance: Compared to previous methods for accelerating CDTI, the proposed method has the potential to reach higher acceleration while preserving myofiber architecture features, which may allow more spatial coverage, higher spatial resolution, and shorter temporal footprint in the future.


Echocardiography-a Journal of Cardiovascular Ultrasound and Allied Techniques | 2018

Assessment of multidirectional movements of the common carotid artery in atherothrombotic stroke using dimensional speckle tracking carotid ultrasonography: A prospective, controlled cohort study

Ji Hyun Yoon; Donghee Han; Sujin Kim; In Jeong Cho; Ji Min Sung; Jin-Yong Lee; Hojin Ryoo; Chi Young Shim; Geu Ru Hong; Hyuk-Jae Chang

We aimed to explore the relevance of multidirectional movements of the common carotid artery in atherothrombotic stroke.


Circulation-cardiovascular Imaging | 2018

Quantification of Coronary Atherosclerosis in the Assessment of Coronary Artery Disease

Sangeun Lee; Ji Min Sung; Asim Rizvi; Fay Y. Lin; Amit Kumar; Martin Hadamitzky; Yong-Jin Kim; Edoardo Conte; Daniele Andreini; Gianluca Pontone; Matthew J. Budoff; Ilan Gottlieb; Byoung Kwon Lee; Eun Ju Chun; Filippo Cademartiri; Erica Maffei; Hugo Marques; Jonathon Leipsic; Sanghoon Shin; Jung Hyun Choi; Kavitha Chinnaiyan; Gilbert Raff; Renu Virmani; Habib Samady; Peter H. Stone; Daniel S. Berman; Jagat Narula; Leslee J. Shaw; Jeroen J. Bax; James K. Min

Background: Diagnosis of coronary artery disease and management strategies have relied solely on the presence of diameter stenosis ≥50%. We assessed whether direct quantification of plaque burden (PB) and plaque characteristics assessed by coronary computed tomography angiography could provide additional value in terms of predicting rapid plaque progression. Methods and Results: From a 13-center, 7-country prospective observational registry, 1345 patients (60.4±9.4 years old; 57.1% male) who underwent repeated coronary computed tomography angiography >2 years apart were enrolled. For conventional angiographic analysis, the presence of stenosis ≥50%, number of vessel involved, segment involvement score, and the presence of high-risk plaque feature were determined. For quantitative analyses, PB and annual change in PB (△PB/y) in the entire coronary tree were assessed. Clinical outcomes (cardiac death, nonfatal myocardial infarction, and coronary revascularization) were recorded. Rapid progressors, defined as a patient with ≥median value of △PB/y (0.33%/y), were older, more frequently male, and had more clinical risk factors than nonrapid progressors (all P<0.05). After risk adjustment, addition of baseline PB improved prediction of rapid progression to each angiographic assessment of coronary artery disease, and the presence of high-risk plaque further improved the predictive performance (all P<0.001). For prediction of adverse outcomes, adding both baseline PB and △PB/y showed best predictive performance (C statistics, 0.763; P<0.001). Conclusions: Direct quantification of atherosclerotic PB in addition to conventional angiographic assessment of coronary artery disease might be beneficial for improving risk stratification of coronary artery disease. Clinical Trial Registration: URL: https://www.clinicaltrials.gov. Unique identifier: NCT02803411.


Journal of KIISE | 2016

Generation of Triangular Mesh of Coronary Artery Using Mesh Merging

Yeonggul Jang; Dong Hwan Kim; Byunghwan Jeon; Dongjin Han; Hackjoon Shim; Hyuk-Jae Chang

Generating a 3D surface model from coronary artery segmentation helps to not only improve the rendering efficiency but also the diagnostic accuracy by providing physiological informations such as fractional flow reserve using computational fluid dynamics (CFD). This paper proposes a method to generate a triangular surface mesh using vessel structure information acquired with coronary artery segmentation. The marching cube algorithm is a typical method for generating a triangular surface mesh from a segmentation result as bit mask. But it is difficult for methods based on marching cube algorithm to express the lumen of thin, small and winding vessels because the algorithm only works in a three-dimensional (3D) discrete space. The proposed method generates a more accurate triangular surface mesh for each singular vessel using vessel centerlines, normal vectors and lumen diameters estimated during the process of coronary artery segmentation as the input. Then, the meshes that are overlapped due to branching are processed by mesh merging and merged into a coronary mesh.


Journal of the American College of Cardiology | 2015

CHARACTERIZING CHRONIC MYOCARDIAL INFARCTIONS IN PATIENTS USING NATIVE T1-BASED CARDIOVASCULAR MAGNETIC RESONANCE

Avinash Kali; Eui-Young Choi; Behzad Sharif; Young Jin Kim; Xiaoming Bi; Bruce Spottiswoode; Ivan Cokic; Hsin-Jung Yang; Mourad Tighiouart; Debiao Li; Daniel S. Berman; Byoung Wook Choi; Hyuk-Jae Chang; Rohan Dharmakumar

Late Gadolinium Enhancement (LGE) Cardiovascular Magnetic Resonance (CMR) is the gold standard for characterizing chronic myocardial infarctions (CMIs), but it is contraindicated in patients with end-stage chronic kidney disease. We investigated whether native T1 mapping at 3T can reliably


Journal of the American College of Cardiology | 2015

PROGNOSTIC UTILITY OF CORONARY ATHEROSCLEROSIS IN THE ABSENCE OF STENOSIS: A PROSPECTIVE MULTICENTER INTERNATIONAL STUDY OF 6,656 PATIENTS UNDERGOING CORONARY COMPUTED TOMOGRAPHIC ANGIOGRAPHY

Iksung Cho; Joshua Schulman-Marcus; Stephen Achenbach; Daniel Berman; Matthew J. Budoff; Tracy Q. Callister; Hyuk-Jae Chang; Mouz Al-Mallah; Filippo Cademartiri; Kavitha Chinnaiyan; Augustin DeLago; Todd Villines; Martin Hadamitzky; Joerg Hausleiter; Jonathon Leipsic; Leslee Shaw; Philipp Kaufmann; Ricardo Cury; Gudrun Feuchtner; Yong-Jin Kim; Erica Maffei; Gilbert Raff; Gianluca Pontone; Daniele Andreini; James K. Min

Coronary atherosclerosis can exist in the absence of concurrent stenosis due to positive arterial remodeling, but whether these lesions are related to future adverse prognosis is unknown. We explored the prevalence and prognosis for stable patients who exhibited atherosclerotic plaque without


Journal of the American College of Cardiology | 2012

DIFFERENTIAL IMPACT OF TRADITIONAL RISK FACTORS FOR PREDICTING THE PROBABILITY OF OBSTRUCTIVE CORONARY ARTERY DISEASE IN MEN AND WOMEN WITH CHEST PAIN: RESULTS FROM THE MULTINATIONAL CONFIRM REGISTRY

Victor Cheng; Daniel S. Berman; Allison Dunning; Stephan Achenbach; Mouaz Al-Mallah; Matthew J. Budoff; Filippo Cademartiri; Tracy Q. Callister; Hyuk-Jae Chang; Kavitha Chinnaiyan; Benjamin Chow; Augustin DeLago; Martin Hadamitzky; Joerg Hausleiter; Philipp A. Kaufmann; Troy LaBounty; Fay Lin; Gilbert Raff; Leslee J. Shaw; Todd Villines; James K. Min

Whether certain traditional risk factors (RFs) provide greater predictive strength for obstructive coronary artery disease (≥50p diameter stenosis, “OCAD”) in patients with chest pain is unknown. From 8106 consecutive patients (mean age 58 years, 3999 men) without CAD history


Journal of the American College of Cardiology | 2018

High Coronary Shear Stress in Patients With Coronary Artery Disease Predicts Myocardial Infarction

Arnav Kumar; Elizabeth Thompson; Adrien Lefieux; David S. Molony; Emily L. Davis; Nikita Chand; Stephane Fournier; Hee Su Lee; Jon Suh; Kimi Sato; Yi-An Ko; Daniel Molloy; Karthic Chandran; Hossein Hosseini; Sonu Gupta; Anastasios Milkas; Bill D. Gogas; Hyuk-Jae Chang; James K. Min; William F. Fearon; Alessandro Veneziani; Don P. Giddens; Spencer B. King; Bernard De Bruyne; Habib Samady


Journal of the American College of Cardiology | 2017

QUANTITATIVE MEASUREMENT OF CORONARY INTRA-PLAQUE NECROTIC CORE BY CORONARY CT ANGIOGRAPHY IN VICTIMS OF AUTOPSY-PROVEN SUDDEN CORONARY DEATH: A COMPARISON TO A HISTOLOGIC REFERENCE STANDARD

Donghee Han; Fay Y. Lin; Ji Hyun Lee; Asim Rizvi; Mahn Won Park; Hadi Mirhedayati Roudsari; Lohendran Baskaran; Heidi Gransar; Ashley Beecy; Khalil Anchouche; Subhi J. Al'Aref; Kazuyuki Yahagi; Sho Torii; Bríain ó Hartaigh; Hyung Bok Park; Sang-Eun Lee; Robert Kutys; David E. Fowler; James Earls; Jessica Pena; Hyuk-Jae Chang; James K. Min; Renu Virmani


Journal of the American College of Cardiology | 2016

QUANTITATIVE ATHEROSCLEROTIC PLAQUE CHARACTERIZATION BY NOVEL SELECTIVE CATHETER-DIRECTED CORONARY COMPUTED TOMOGRAPHY ANGIOGRAPHY: COMPARISON WITH CONVENTIONAL INTRAVENOUS CORONARY COMPUTED TOMOGRAPHY ANGIOGRAPHY

Hyung Bok Park; Youngtaek Hong; Ran Heo; Sanghoon Shin; Hyuk-Jae Chang

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Filippo Cademartiri

Erasmus University Rotterdam

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Erica Maffei

Montreal Heart Institute

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Kavitha Chinnaiyan

Cedars-Sinai Medical Center

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Mouaz Al-Mallah

King Saud bin Abdulaziz University for Health Sciences

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