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Automatic Hybrid Segmentation of Dual Contrast Cardiac MR Data [chapter]

A. Pednekar, I. A. Kakadiaris, V. Zavaletta, R. Muthupillai, S. Flamm
2002 Lecture Notes in Computer Science  
for the homogeneity and the gradient energy functions that are computed dynamically, and 3) we extend the hybrid segmentation framework to allow forces from dual contrast and fuzzy connectedness data  ...  In this paper, we present an algorithm for the automatic computation of the EF that is based on segmenting the left ventricle by combining the fuzzy connectedness and deformable model frameworks.  ...  In this paper, we present a new hybrid approach for the automatic computation of the EF (ratio of the stroke volume to the diastolic volume) of the LV from dual contrast short axis cardiac MR data, that  ... 
doi:10.1007/3-540-45786-0_85 fatcat:nv6kpmyik5dkviqmagv22s6lba

Respiratory- and cardiac motion-corrected simultaneous whole-heart PET and dual phase coronary MR angiography

Camila Munoz, Radhouene Neji, Karl P. Kunze, Stephan G. Nekolla, Rene M. Botnar, Claudia Prieto
2018 Magnetic Resonance in Medicine  
Methods: An acquisition scheme based on a dual-phase CMRA sequence acquired simultaneously with cardiac PET data has been developed.  ...  (respiratory motion correction for each cardiac phase) and the PET data (respiratory and cardiac motion correction).  ...  PET data on a 3T hybrid PET-MR system as shown in Figure 1A .  ... 
doi:10.1002/mrm.27517 pmid:30320931 fatcat:ppgt3vxktbhqnkjpturpea74ee

Hybrid MPI-MRI System for Dual-Modal in situ Cardiovascular Assessments of Real-Time 3D Blood Flow Quantification - a Pre-Clinical in vivo Feasibility Investigation

Jochen Franke, Nicoleta Baxan, Heinrich Lehr, Ulrich Heinen, Sebastian Reinartz, Jorg Schnorr, Michael Heidenreich, Fabian Kiessling, Volkmar Schulz
2020 IEEE Transactions on Medical Imaging  
The used hybrid system allows for MR-based MPI Field-of-View planning and cardiac crosssectional anatomy analysis, precise co-registration of dualmodal datasets, as well as for MPI-based hemodynamic functional  ...  We present a fast non-invasive and quantitative dual-modal in situ cardiovascular assessment using a hybrid imaging system which combines the new imaging modality Magnetic Particle Imaging (MPI) and MRI  ...  For cardiac assessment shown in this contribution, the cardiac frequency was first derived automatically from the reconstructed 3D + t MPI image data (frame 40 − 180, marked gray in Fig. 8 ) by Fourier  ... 
doi:10.1109/tmi.2020.3017160 pmid:32804645 fatcat:lswoky5plzh6tbfwtbya7ypi6e

Front Matter: Volume 9784

2016 Medical Imaging 2016: Image Processing  
estimation [9784-13] 9784 0F Automated segmentation of upper digestive tract from abdominal contrast-enhanced CT data using hierarchical statistical modeling of organ interrelations [9784-14] SESSION  ...  /terms-of-use 9784 0D Automatic segmentation and statistical shape modeling of the paranasal sinuses to estimate natural variations [9784-12] 9784 0E Combining multi-atlas segmentation with brain surface  ...  [9784-111] 9784 35 Automatic segmentation of 4D cardiac MR images for extraction of ventricular chambers using a spatio-temporal approach [9784-112] 9784 36 Interactive and scale invariant segmentation  ... 
doi:10.1117/12.2240619 fatcat:kot6cogf4rf6dcjhkzdrr5gahi

Hybrid cardiac imaging using PET/MRI: a joint position statement by the European Society of Cardiovascular Radiology (ESCR) and the European Association of Nuclear Medicine (EANM)

Felix Nensa, Fabian Bamberg, Christoph Rischpler, Leon Menezes, Thorsten D. Poeppel, Christian la Fougère, Dietrich Beitzke, Sazan Rasul, Christian Loewe, Konstantin Nikolaou, Jan Bucerius, Andreas Kjaer (+12 others)
2018 European Journal of Hybrid Imaging  
Since 2010, hybrid PET/MRI using sequential and integrated scanner platforms has been available, with hybrid cardiac PET/MR imaging protocols increasingly incorporated into clinical workflows.  ...  and MR-sequences will provide exciting new opportunities.  ...  Segmentation and misalignment errors As the creation of μ-maps is based on segmentation of MR data, the validity of attenuation-corrected PET data is directly dependent on the validity of the underlying  ... 
doi:10.1186/s41824-018-0032-4 fatcat:uohab53ds5hkvol4gqscgg666y

Front Matter: Volume 10574

Proceedings of SPIE, Elsa D. Angelini, Bennett A. Landman
2018 Medical Imaging 2018: Image Processing  
Publication of record for individual papers is online in the SPIE Digital Library. SPIEDigitalLibrary.org Paper Numbering: Proceedings of SPIE follow an e-First publication model.  ...  Utilization of CIDs allows articles to be fully citable as soon as they are published online, and connects the same identifier to all online and print versions of the publication.  ...  and conditional generative adversarial networks 10574 0A Segmentation of left ventricle myocardium in porcine cardiac cine MR images using a hybrid of fully convolutional neural networks and convolutional  ... 
doi:10.1117/12.2315755 fatcat:jdfbaent6vhu5dwlrqrqt66vce

Hybrid cardiac imaging using PET/MRI: a joint position statement by the European Society of Cardiovascular Radiology (ESCR) and the European Association of Nuclear Medicine (EANM)

Felix Nensa, Fabian Bamberg, Christoph Rischpler, Leon Menezes, Thorsten D. Poeppel, Christian la Fougère, Dietrich Beitzke, Sazan Rasul, Christian Loewe, Konstantin Nikolaou, Jan Bucerius, Andreas Kjaer (+12 others)
2018 European Radiology  
Since 2010, hybrid PET/MRI using sequential and integrated scanner platforms has been available, with hybrid cardiac PET/MR imaging protocols increasingly incorporated into clinical workflows.  ...  . • Promising fields of application include a variety of cardiac conditions. • Larger studies are required to demonstrate its incremental and cost-effective value. • The translation of novel radiopharmaceuticals  ...  Conflict of interest All other authors declare no conflicts of interest. Statistics and biometry No complex statistical methods were necessary for this paper.  ... 
doi:10.1007/s00330-017-5008-4 pmid:29717368 fatcat:qwdffzhdvrf37l4qwrgtnpbmje

Front Matter: Volume 10951

Baowei Fei, Cristian A. Linte
2019 Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling  
angiogenesis and viable myocardium using hybrid cardiac imaging [10951-80] 10951 29 Step-wise identification of ultrasound-visible anatomical landmarks for 3D visualization of scoliotic spine [10951  ...  cochlear implant modeling [10951-56] 10951 1M Using planning CTs to enhance CNN-based bladder segmentation on cone beam CT [10951-57] 10951 1N Neural-network-based automatic segmentation of cerebral  ... 
doi:10.1117/12.2531522 fatcat:6ed6gbuiarfetfqndgjmno772a

2014 Index IEEE Transactions on Medical Imaging Vol. 33

2014 IEEE Transactions on Medical Imaging  
Segmentation of Scar Tissue From Late-Enhancement Cardiac MR Images.  ...  Interactive Hierarchical-Flow Segmentation of Scar Tissue From Late-Enhancement Cardiac MR Images.  ... 
doi:10.1109/tmi.2014.2386278 fatcat:poarfhfto5bm5mhfl7ugwtw4xy

Front Matter: Volume 9413

2015 Medical Imaging 2015: Image Processing  
Numbers in the index correspond to the last two digits of the six-digit citation identifier (CID) article numbering system used in Proceedings of SPIE.  ...  Base 36 numbering is employed for the last two digits and indicates the order of articles within the volume. Numbers start with 00,  ...  9413-39] 9413 15 Evaluation of an automatic brain segmentation method developed for neonates on adult MR brain images SESSION 9 SEGMENTATION 9413 16 Active contour based segmentation of resected livers  ... 
doi:10.1117/12.2194368 fatcat:lbd4hy3s2rbodfhutf34bmarhu

Cardiac PET/MRI—an update

C. Rischpler, S. G. Nekolla, G. Heusch, L. Umutlu, T. Rassaf, P. Heusch, K. Herrmann, F. Nensa
2019 European Journal of Hybrid Imaging  
Early after, reports on the first use of PET/MRI in oncological patients were released.  ...  In this review article, we give an overview on technical updates within these last years with potential impact on cardiac imaging and summarize those scenarios where PET/MRI plays a pivotal role in cardiovascular  ...  Availability of data and materials Not applicable.  ... 
doi:10.1186/s41824-018-0050-2 pmid:34191143 fatcat:jmhlxmiekndmlnd4snx2e7kjfa

A framework to measure myocardial extracellular volume fraction using dual-phase low dose CT images

Yixun Liu, Songtao Liu, Marcelo S. Nacif, Christopher T. Sibley, David A. Bluemke, Ronald M. Summers, Jianhua Yao
2013 Medical Physics (Lancaster)  
Bland-Altman method showed 95% limits of agreement between ECVF at CT and ECVF at MR.  ...  Compared to the manually delineated reference segmentations, the accuracy of our segmentation in terms of true positive volume fraction (TPVF), false positive volume fraction (FPVF), and average surface  ...  The segmentation method of the proposed framework was accepted at RSNA2012.  ... 
doi:10.1118/1.4819936 pmid:24089934 pmcid:PMC3785529 fatcat:ch3uuho5mfbtbomq6n4rpqurba

Front Matter: Volume 12032

Ivana Išgum, Olivier Colliot
2022 Medical Imaging 2022: Image Processing  
of SPIE at the time of publication.  ...  Utilization of CIDs allows articles to be fully citable as soon as they are published online, and connects the same identifier to all online and print versions of the publication.  ...  network and one-shot learning [12032-14] 0H Evaluating the impact of MR image harmonization on thalamus deep network segmentation [12032-15] 0I Evaluating the impact of MR image contrast on whole brain  ... 
doi:10.1117/12.2638192 fatcat:ikfgnjefaba2tpiamxoftyi6sa

Front Matter: Volume 10134

2017 Medical Imaging 2017: Computer-Aided Diagnosis  
Publication of record for individual papers is online in the SPIE Digital Library. SPIEDigitalLibrary.org Paper Numbering: Proceedings of SPIE follow an e-First publication model.  ...  Utilization of CIDs allows articles to be fully citable as soon as they are published online, and connects the same identifier to all online and print versions of the publication.  ...  segmentation pipeline for contrast-enhanced CT scans of adult and pediatric patients 10134 3J Texture analysis of common renal masses in multiple MR sequences for prediction of pathology Radiogenomic  ... 
doi:10.1117/12.2277119 dblp:conf/micad/X17 fatcat:ika7pheqxngdxejyvkss4dkbv4

Deep Learning for Cardiac Image Segmentation: A Review

Chen Chen, Chen Qin, Huaqi Qiu, Giacomo Tarroni, Jinming Duan, Wenjia Bai, Daniel Rueckert
2020 Frontiers in Cardiovascular Medicine  
Deep learning has become the most widely used approach for cardiac image segmentation in recent years.  ...  In this paper, we provide a review of over 100 cardiac image segmentation papers using deep learning, which covers common imaging modalities including magnetic resonance imaging (MRI), computed tomography  ...  In contrast, deep learning (DL)-based algorithms are good at automatically discovering intricate features from data for object detection and segmentation.  ... 
doi:10.3389/fcvm.2020.00025 pmid:32195270 pmcid:PMC7066212 fatcat:iw7xpnltn5cgbn5ullq2ldy3nq
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