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Privacy-Preserving and Explainable AI for Cardiovascular Imaging

Andrei PUIU, Anamaria VIZITIU, Cosmin NITA, Lucian ITU, Puneet SHARMA, Dorin COMANICIU
2021 Studies in Informatics and Control  
Artificial intelligence (AI) based medical image analysis algorithms provide nowadays state-of-the-art results in CVD management, mainly due to the increase in computational power and data storage capacities  ...  It also presents examples related to the diagnosis of stable coronary artery disease, a whole-body circulation model for the assessment of structural heart disease, and to the diagnosis and treatment planning  ...  In a modular approach, different components are responsible for coronary artery centerline detection, lumen segmentation, and functional assessment.  ... 
doi:10.24846/v30i2y202102 fatcat:okrt7mh4ora6hisrdqzf776hta

SenseCare: A Research Platform for Medical Image Informatics and Interactive 3D Visualization [article]

Qi Duan, Guotai Wang, Rui Wang, Chao Fu, Xinjun Li, Maoliang Gong, Xinglong Liu, Qing Xia, Xiaodi Huang, Zhiqiang Hu, Ning Huang, Shaoting Zhang
2020 arXiv   pre-print
In addition, SenseCare is clinic-oriented and supports a wide range of clinical applications such as diagnosis and surgical planning for lung cancer, pelvic tumor, coronary artery disease, etc.  ...  Clinical research on smart healthcare has an increasing demand for intelligent and clinic-oriented medical image computing algorithms and platforms that support various applications.  ...  The architecture of SenseCare follows a modular structure that consists of three layers: 1) basic functional modules such as data management and visualization, web-based access and multi-center deployment  ... 
arXiv:2004.07031v1 fatcat:aczelk3365ftniy2vt7tcxwe7i

A Re-Engineered Software Interface and Workflow for the Open-Source SimVascular Cardiovascular Modeling Package

Hongzhi Lan, Adam Updegrove, Nathan M. Wilson, Gabriel D. Maher, Shawn C. Shadden, Alison L. Marsden
2018 Journal of Biomechanical Engineering  
Additional improvements include enhanced data/project management, interactive tools to facilitate user interaction, new boundary condition (BC) functionality, plug-in mechanism to increase modularity,  ...  a new 3D segmentation tool, and new computer-aided design (CAD)based solid modeling capabilities.  ...  Funding Data Directorate for Computer and Information Science and Engineering (Grant Nos. 1339824 and 1663671).  ... 
doi:10.1115/1.4038751 pmid:29238826 pmcid:PMC5816252 fatcat:t4issy2ofrdfdgjwvon5uoj654

A review of deep learning in medical imaging: Image traits, technology trends, case studies with progress highlights, and future promises [article]

S. Kevin Zhou, Hayit Greenspan, Christos Davatzikos, James S. Duncan, Bram van Ginneken, Anant Madabhushi, Jerry L. Prince, Daniel Rueckert, Ronald M. Summers
2020 arXiv   pre-print
It is known that the success of AI is mostly attributed to the availability of big data with annotations for a single task and the advances in high performance computing.  ...  We conclude with a discussion and presentation of promising future directions.  ...  One end-to-end trainable approach for the extraction of the coronary centerline has been proposed in [168] .  ... 
arXiv:2008.09104v1 fatcat:z2gic7or4vgnnfcf4joimjha7i

Cognitive AutonomouS CAtheters Operating in Dynamic Environments

E. Vander Poorten, P. Tran, A. Devreker, C. Gruijthuijsen, S. Portoles-Diez, G. Smoljkic, V. Strbac, N. Famaey, D. Reynaerts, J. Vander Sloten, A. Tibebu, B. Yu (+25 others)
2016 Journal of Medical Robotics Research  
In cardiovascular procedures interventionalists turn towards catheter-based interventions, treating patients considered unfit for more invasive approaches. A positive outcome is not guaranteed.  ...  in Dynamic Environments (CASCADE).  ...  The authors wish to express their gratitude towards Volcano Corporation (Volcano Europe) for making their US system available for the purpose of the here conducted research. 1640011 ISSN: 2424-905X  ... 
doi:10.1142/s2424905x16400110 fatcat:3qnzvdbv2ngirileon7ulf7yiu

CARS 2020—Computer Assisted Radiology and Surgery Proceedings of the 34th International Congress and Exhibition, Munich, Germany, June 23–27, 2020

2020 International Journal of Computer Assisted Radiology and Surgery  
A hybrid (analogue and digital) CARS 2020 has therefore been envisaged to take place at the University Hospital in Munich, with a balanced combination of analogue/personal and digital presentations and  ...  Aiming to stimulate complimentary thoughts and actions on what is being presented at CARS, implies a number of enabling variables for optimal analogue scholarly communication, such as (examples given are  ...  We thank NVIDIA for the Titan X hardware grant that allowed us to process the images in a faster way. ].  ... 
doi:10.1007/s11548-020-02171-6 pmid:32514840 fatcat:lyhdb2zfpjcqbf4mmbunddwroq

Posters

2013 Clinical and translational imaging  
Single-photon emission computed tomography (SPECT) is a functional imaging technique that can provide additional and useful information during the diagnostic work-up and follow-up of brain lesions.  ...  In this setting, few data exist on PET with amino acid tracers.  ...  A TID ratio ≥1.19 was detectable in 32 (13%) of the 242 patients with coronary angiography and in 76 (17%) of the 450 not referred for coronary angiography (p=0.25).  ... 
doi:10.1007/s40336-013-0002-6 fatcat:jfrptu6wuvhjvfss4iobwqfk2q

Preoperative Surgical Planning

Johannes Ludwig Fauser
2020
In the first, a flexible robot would drill a nonlinear canal through the mastoid, allowing a surgeon access to the temporal bone's apex, a target often unreachable without damaging critical risk structures  ...  Major contributions include an automatic shape regularized segmentation approach for coherent anatomy extraction as well as an exhaustive trajectory planning step on locally optimized Bézier Splines.  ...  [152] add a refinement strategy for the facial nerve based on a super resolution approach on in Cone Beam Computed Tomography (CBCT) images.  ... 
doi:10.25534/tuprints-00011752 fatcat:4slobdksjjggxpjcoaiqufbje4

Dário Augusto Borges Oliveira A Linear Programming Approach to Vascular Network Segmentation from a Single Seed Point TESE DE DOUTORADO A Linear Programming Approach to Vascular Network Segmentation from a Single Seed Point All rights reserved

Dário Augusto, Borges Oliveira, Tese De Doutorado, Feitosa Queiroz, Advisor, Monteiro Mauro, Correia, Profa Conci, Corrêa Aristófanes, Silva, Bruno Feijo, Sidnei Paciornik (+4 others)
2013 unpublished
Non-invasive exams, such as Computed Tomography (CT) and Magnetic Resonance Imaging (MRI), are increasingly replacing invasive angiography in examining and visualizing vessels.  ...  Coronary Data A very important application for vascular segmentation concerns the cardiac vessels.  ... 
fatcat:fl45lj2g65dsbkamjo662iz6km

Automated Patient-Specific Modeling of Blood Flow and Vessel Wall Mechanics in Aortic

Dilana Hazer
2009
For the blood flow and vessel wall computations, individual mesh generation techniques and numerical models for CSM, CFD and FSI were generated and implemented based on CT/MRI images.  ...  This work presents a numerical approach to non-invasively help the diagnosis of patients with vascular pathologies on an individual basis.  ...  Segmentation of the CT/MRI images Patient-specific modeling is based on morphological data derived from either computed tomography (CT) or magnetic resonance imaging (MRI) scans.  ... 
doi:10.5445/ir/1000019925 fatcat:rjb37ccq7vfapeimubimqtmufi