21.10.4 Heart, Cardiac, Angiography using CAT, CT, Tomography

Chapter Contents (Back)
Heart. Angiography. CT. Cardiac CT.
See also Deformable Models, Cardiac Motion Models for Volumes, Left Ventricle.

Cavouras, D., Wayne, L.N.[L. Norton],
Tomographic mapping of the activity of the heart wall,
PR(14), No. 1-6, 1981, pp. 17-32.
Elsevier DOI 0309
BibRef

Ning, R.[Ruola], Chen, B.[Biao], Yu, R.F.[Rong-Feng], Conover, D., Tang, X.Y.[Xiang-Yang], Ning, Y.[Yi],
Flat panel detector-based cone-beam volume CT angiography imaging: system evaluation,
MedImg(19), No. 9, September 2000, pp. 949-963.
IEEE Top Reference. 0110
BibRef

Rogowska, J., Brezinski, M.E.,
Evaluation of the adaptive speckle suppression filter for coronary optical coherence tomography imaging,
MedImg(19), No. 12, December 2000, pp. 1261-1266.
IEEE Top Reference. 0110
BibRef

Lauritsch, G., Boese, J., Wigstrom, L., Kemeth, H., Fahrig, R.,
Towards Cardiac C-Arm Computed Tomography,
MedImg(25), No. 7, July 2006, pp. 922-934.
IEEE DOI 0606
BibRef

Prummer, M., Hornegger, J., Lauritsch, G., Wigstrom, L., Girard-Hughes, E., Fahrig, R.,
Cardiac C-Arm CT: A Unified Framework for Motion Estimation and Dynamic CT,
MedImg(28), No. 11, November 2009, pp. 1836-1849.
IEEE DOI 0911
BibRef

Schafer, D., Borgert, J., Rasche, V., Grass, M.,
Motion-Compensated and Gated Cone Beam Filtered Back-Projection for 3-D Rotational X-Ray Angiography,
MedImg(25), No. 7, July 2006, pp. 898-906.
IEEE DOI 0606
BibRef

Bharkhada, D.[Deepak], Yu, H.Y.[Heng-Yong], Zeng, K.[Kai], Bai, E.W.[Er-Wei], Wang, G.[Ge],
A comparative study on interpolation methods for controlled cardiac CT,
IJIST(17), No. 2, 2007, pp. 91-98.
DOI Link 0710
BibRef

Wörz, S.[Stefan], Rohr, K.[Karl],
Segmentation and Quantification of Human Vessels Using a 3-D Cylindrical Intensity Model,
IP(16), No. 8, August 2007, pp. 1994-2004.
IEEE DOI 0709
BibRef
Earlier:
3D Segmentation and Quantification of Human Vessels Based on a New 3D Parametric Intensity Model,
DAGM04(111-119).
Springer DOI 0505
BibRef

Wörz, S.[Stefan], Rohr, K.[Karl],
Cramér-Rao Bounds for Estimating the Position and Width of 3D Tubular Structures and Analysis of Thin Structures with Application to Vascular Images,
JMIV(30), No. 2, February 2008, pp. 167-180.
Springer DOI 0801
BibRef
Earlier:
3D Parametric Intensity Models for the Localization of Different Types of 3D Anatomical Point Landmarks in Tomographic Images,
DAGM03(220-227).
Springer DOI 0310
BibRef

Ecabert, O., Peters, J., Schramm, H., Lorenz, C.[Cristian], von Berg, J.[Jens], Walker, M.J., Vembar, M., Olszewski, M.E., Subramanyan, K., Lavi, G., Weese, J.,
Automatic Model-Based Segmentation of the Heart in CT Images,
MedImg(27), No. 9, September 2008, pp. 1189-1201.
IEEE DOI 0809
BibRef

Kabus, S.[Sven], Klinder, T.[Tobias], von Berg, J.[Jens], Lorenz, C.[Cristian],
Functional Non-rigid Registration Validation: A CT Phantom Study,
WBIR10(116-127).
Springer DOI 1007
BibRef

Valet, G., Sanchez, S., Lopez-Hernandez, J.M., Daul, C., Wolf, D., Karcher, G.,
Towards a new diagnosis aid of cardiovascular diseases using 2d-multimodal data registration and 3d-data superimposition,
ICIP04(III: 1907-1910).
IEEE DOI 0505
BibRef

Huang, X.[Xishi], Moore, J., Guiraudon, G., Jones, D.L., Bainbridge, D., Ren, J.[Jing], Peters, T.M.,
Dynamic 2D Ultrasound and 3D CT Image Registration of the Beating Heart,
MedImg(28), No. 8, August 2009, pp. 1179-1189.
IEEE DOI 0909
BibRef

Huang, X., Ren, J., Guiraudon, G., Boughner, D., Peters, T.M.,
Rapid Dynamic Image Registration of the Beating Heart for Diagnosis and Surgical Navigation,
MedImg(28), No. 11, November 2009, pp. 1802-1814.
IEEE DOI 0911
BibRef

Daul, C.[Christian], Lopez-Hernandez, J.M.[Juan M.], Wolf, D.[Didier], Karcher, G.[Gilles], Ethevenot, G.[Gerard],
3-D multimodal cardiac data superimposition using 2-D image registration and 3-D reconstruction from multiple views,
IVC(27), No. 6, 4 May 2009, pp. 790-802.
Elsevier DOI 0904
Coronary angiography; Tomoscintygraphy; Active contours; Distance map; Cardiac data segmentation; 3-D reconstruction; 3-D data superimposition; Multimodal data registration BibRef

Maksimov, D., Hesser, J., Brockmann, C., Jochum, S., Dietz, T., Schnitzer, A., Duber, C., Schoenberg, S.O., Diehl, S.,
Graph-Matching Based CTA,
MedImg(28), No. 12, December 2009, pp. 1940-1954.
IEEE DOI 0912
Computer Tomography Angiography. Segmentation of CT for angiography. BibRef

Vukadinovic, D., van Walsum, T., Manniesing, R., Rozie, S., Hameeteman, R., de Weert, T.T., van der Lugt, A., Niessen, W.J.,
Segmentation of the Outer Vessel Wall of the Common Carotid Artery in CTA,
MedImg(29), No. 1, January 2010, pp. 65-76.
IEEE DOI 1001
BibRef

Eggermont, J.[Jeroen], Li, R.[Rui], Bovenkamp, E.G.P.[Ernst G. P.], Marquering, H.[Henk], Emmerich, M.T.M.[Michael T.M.], van der Lugt, A.[Aad], Bäck, T.[Thomas], Dijkstra, J.[Jouke], Reiber, J.H.C.[Johan H. C.],
Optimizing Computed Tomographic Angiography Image Segmentation Using Fitness Based Partitioning,
EvoIASP08(xx-yy).
Springer DOI 0804
BibRef

Isgum, I., Prokop, M., Niemeijer, M., Viergever, M.A., van Ginneken, B.,
Automatic Coronary Calcium Scoring in Low-Dose Chest Computed Tomography,
MedImg(31), No. 12, December 2012, pp. 2322-2334.
IEEE DOI 1212
BibRef

de Vos, B.D., Wolterink, J.M., Leiner, T., de Jong, P.A., Lessmann, N., Išgum, I.,
Direct Automatic Coronary Calcium Scoring in Cardiac and Chest CT,
MedImg(38), No. 9, September 2019, pp. 2127-2138.
IEEE DOI 1909
Calcium, Computed tomography, Lesions, Feature extraction, Arteries, Deep learning, Lung, Calcium scoring, cardiac CT, chest CT, regression BibRef

Wolterink, J.M., Leiner, T., Takx, R.A.P., Viergever, M.A., Isgum, I.,
Automatic Coronary Calcium Scoring in Non-Contrast-Enhanced ECG-Triggered Cardiac CT With Ambiguity Detection,
MedImg(34), No. 9, September 2015, pp. 1867-1878.
IEEE DOI 1509
Arteries BibRef

Lessmann, N., van Ginneken, B., Zreik, M., de Jong, P.A., de Vos, B.D., Viergever, M.A., Išgum, I.,
Automatic Calcium Scoring in Low-Dose Chest CT Using Deep Neural Networks With Dilated Convolutions,
MedImg(37), No. 2, February 2018, pp. 615-625.
IEEE DOI 1802
Arteries, Calcium, Cancer, Computed tomography, Image reconstruction, Lungs, Valves, Calcium scoring, convolutional neural networks, lung cancer screening BibRef

Aslanidi, O.V., Nikolaidou, T., Zhao, J., Smaill, B.H., Gilbert, S.H., Holden, A.V., Lowe, T., Withers, P.J., Stephenson, R.S., Jarvis, J.C., Hancox, J.C., Boyett, M.R., Zhang, H.,
Application of Micro-Computed Tomography With Iodine Staining to Cardiac Imaging, Segmentation, and Computational Model Development,
MedImg(32), No. 1, January 2013, pp. 8-17.
IEEE DOI 1301
BibRef

Guo, Q., Dong, F., Sun, S., Lei, B., Gao, B.Z.,
Image denoising algorithm based on contourlet transform for optical coherence tomography heart tube image,
IET-IPR(7), No. 5, 2013, pp. 442-450.
DOI Link 1310
BibRef

Glass, I., Butler, A.P.H., Butler, P.H., Bones, P.J., Weddell, S.J.,
Physiological gating of the MARS spectral micro CT scanner,
IVCNZ13(317-322)
IEEE DOI 1402
cardiovascular system BibRef

Hoogendoorn, C., Duchateau, N., Sanchez-Quintana, D., Whitmarsh, T., Sukno, F.M., de Craene, D., Lekadir, K., Frangi, A.F.,
A High-Resolution Atlas and Statistical Model of the Human Heart From Multislice CT,
MedImg(32), No. 1, January 2013, pp. 28-44.
IEEE DOI 1301
BibRef

Albà, X., Pereañez, M., Hoogendoorn, C., Swift, A.J., Wild, J.M., Frangi, A.F., Lekadir, K.,
An Algorithm for the Segmentation of Highly Abnormal Hearts Using a Generic Statistical Shape Model,
MedImg(35), No. 3, March 2016, pp. 845-859.
IEEE DOI 1603
Biomedical imaging BibRef

Tavard, F., Simon, A., Leclercq, C., Donal, E., Hernandez, A.I., Garreau, M.,
Multimodal Registration and Data Fusion for Cardiac Resynchronization Therapy Optimization,
MedImg(33), No. 6, June 2014, pp. 1363-1372.
IEEE DOI 1407
Computed tomography BibRef

Tong, L., Ramalli, A., Jasaityte, R., Tortoli, P., d'Hooge, J.,
Multi-Transmit Beam Forming for Fast Cardiac Imaging: Experimental Validation and In Vivo Application,
MedImg(33), No. 6, June 2014, pp. 1205-1219.
IEEE DOI 1407
Arrays BibRef

Larrey-Ruiz, J.[Jorge], Morales-Sanchez, J.[Juan], Bastida-Jumilla, M.[Maria], Menchon-Lara, R.[Rosa], Verdu-Monedero, R.[Rafael], Sancho-Gomez, J.[Jose],
Automatic image-based segmentation of the heart from CT scans,
JIVP(2014), No. 1, 2014, pp. 52.
DOI Link 1412
BibRef

Cai, Y., Islam, A., Bhaduri, M., Chan, I., Li, S.,
Unsupervised Freeview Groupwise Cardiac Segmentation Using Synchronized Spectral Network,
MedImg(35), No. 9, September 2016, pp. 2174-2188.
IEEE DOI 1609
Computed tomography BibRef

Ambrosini, P., Smal, I., Ruijters, D., Niessen, W.J., Moelker, A., van Walsum, T.,
A Hidden Markov Model for 3D Catheter Tip Tracking With 2D X-ray Catheterization Sequence and 3D Rotational Angiography,
MedImg(36), No. 3, March 2017, pp. 757-768.
IEEE DOI 1703
Catheterization BibRef

Li, Y., Speidel, M.A., François, C.J., Chen, G.H.,
Radiation Dose Reduction in CT Myocardial Perfusion Imaging Using SMART-RECON,
MedImg(36), No. 12, December 2017, pp. 2557-2568.
IEEE DOI 1712
Computed tomography, Electron tubes, Image reconstruction, Myocardium, Photonics, Physics, Image reconstruction, myocardial perfusion imaging BibRef

Segars, W.P., Tsui, B.M.W., Cai, J., Yin, F.F., Fung, G.S.K., Samei, E.,
Application of the 4-D XCAT Phantoms in Biomedical Imaging and Beyond,
MedImg(37), No. 3, March 2018, pp. 680-692.
IEEE DOI 1804
biomedical equipment, cardiology, data acquisition, dosimetry, image motion analysis, image reconstruction, image resolution, medical simulation BibRef

Mechlem, K., Sellerer, T., Ehn, S., Münzel, D., Braig, E., Herzen, J., Noël, P.B., Pfeiffer, F.,
Spectral Angiography Material Decomposition Using an Empirical Forward Model and a Dictionary-Based Regularization,
MedImg(37), No. 10, October 2018, pp. 2298-2309.
IEEE DOI 1810
Detectors, Photonics, Calibration, Angiography, Indexes, Signal to noise ratio, X-ray imaging and computed tomography, quantification and estimation BibRef

Sellerer, T., Mechlem, K., Tang, R., Taphorn, K.A., Pfeiffer, F., Herzen, J.,
Dual-Energy X-Ray Dark-Field Material Decomposition,
MedImg(40), No. 3, March 2021, pp. 974-985.
IEEE DOI 2103
Imaging, Scattering, Tools, Microstructure, Clinical diagnosis, Spatial resolution, X-ray imaging, Imaging modalities, lung BibRef

Gessert, N., Lutz, M., Heyder, M., Latus, S., Leistner, D.M., Abdelwahed, Y.S., Schlaefer, A.,
Automatic Plaque Detection in IVOCT Pullbacks Using Convolutional Neural Networks,
MedImg(38), No. 2, February 2019, pp. 426-434.
IEEE DOI 1902
Machine learning, Image segmentation, Arteries, Image resolution, Biomedical imaging, Diseases, IVOCT, deep learning, plaque detection, transfer learning BibRef

Androulakis, I., Faure, M.E., Budde, R.P.J., van Walsum, T.,
Automated Quantification of Bileaflet Mechanical Heart Valve Leaflet Angles in CT Images,
MedImg(38), No. 3, March 2019, pp. 753-761.
IEEE DOI 1903
Computed tomography, Valves, Heart, Principal component analysis, Geometry, Manuals, shape analysis BibRef

Song, S., Du, C., Ai, D., Huang, Y., Song, H., Wang, Y., Yang, J.,
Spatio-Temporal Constrained Online Layer Separation for Vascular Enhancement in X-Ray Angiographic Image Sequence,
CirSysVideo(30), No. 10, October 2020, pp. 3558-3570.
IEEE DOI 2010
Image sequences, Arteries, Lung, Anatomical structure, Ribs, Motion artifacts, X-ray imaging, Spatio-temporal, online, X-ray image sequence BibRef

Jiang, Z.[Zhe], Huang, Z.Y.[Zhi-Yu], Qiu, B.[Bin], Meng, X.X.[Xiang-Xi], You, Y.F.[Yun-Fei], Liu, X.[Xi], Geng, M.F.[Mu-Feng], Liu, G.J.[Gang-Jun], Zhou, C.Q.[Chuan-Qing], Yang, K.[Kun], Maier, A.[Andreas], Ren, Q.S.[Qiu-Shi], Lu, Y.Y.[Yan-Ye],
Weakly Supervised Deep Learning-Based Optical Coherence Tomography Angiography,
MedImg(40), No. 2, February 2021, pp. 688-698.
IEEE DOI 2102
Image reconstruction, Training, Pipelines, Biomedical engineering, Roads, Imaging, Task analysis, Weakly supervised learning, OCTA, ophthalmology BibRef

Wang, W.J.[Wen-Ji], Xia, Q.[Qing], Hu, Z.Q.[Zhi-Qiang], Yan, Z.[Zhennan], Li, Z.[Zhuowei], Wu, Y.[Yang], Huang, N.[Ning], Gao, Y.[Yue], Metaxas, D.N.[Dimitris N.], Zhang, S.T.[Shao-Ting],
Few-Shot Learning by a Cascaded Framework With Shape-Constrained Pseudo Label Assessment for Whole Heart Segmentation,
MedImg(40), No. 10, October 2021, pp. 2629-2641.
IEEE DOI 2110
Image segmentation, Heart, Data models, Computed tomography, Shape, Task analysis, semi-supervised BibRef

Li, K.[Kang], Wang, S.J.[Shu-Jun], Yu, L.[Lequan], Heng, P.A.[Pheng Ann],
Dual-Teacher++: Exploiting Intra-Domain and Inter-Domain Knowledge With Reliable Transfer for Cardiac Segmentation,
MedImg(40), No. 10, October 2021, pp. 2771-2782.
IEEE DOI 2110
Adaptation models, Data models, Reliability, Predictive models, Computed tomography, Annotations, Semisupervised learning, cardiac segmentation BibRef

Lara-Hernández, A., Rienmüller, T., Juárez, I., Pérez, M., Reyna, F., Baumgartner, D., Makarenko, V.N., Bockeria, O.L., Maksudov, M., Rienmüller, R., Baumgartner, C.,
Deep Learning-Based Image Registration in Dynamic Myocardial Perfusion CT Imaging,
MedImg(42), No. 3, March 2023, pp. 684-696.
IEEE DOI 2303
Computed tomography, Myocardium, Strain, Image registration, Magnetic resonance imaging, Image sequences, Heart, Registration, myocardial perfusion BibRef

Yuan, X.H.[Xiao-Han], Liu, C.[Cong], Feng, F.[Fu], Zhu, Y.[Yinsu], Wang, Y.G.[Yan-Gang],
Slice-mask Based 3d Cardiac Shape Reconstruction from CT Volume,
ACCV22(VI:69-85).
Springer DOI 2307
BibRef

Chen, S.Z.[Shuai-Zheng], An, D.[Dongaolei], Feng, C.[Chaolu], Bian, Z.J.[Zi-Jian], Wu, L.M.[Lian-Ming],
Segmentation of Pericardial Adipose Tissue in CMR Images: A Benchmark Dataset MRPEAT and a Triple-Stage Network 3SUnet,
MedImg(42), No. 8, August 2023, pp. 2386-2399.
IEEE DOI 2308
Image segmentation, Computed tomography, Benchmark testing, Indexes, Medical diagnostic imaging, Hospitals, continual learning BibRef

Deng, Z.H.[Zi-Heng], Zhang, W.K.[Wei-Kang], Chen, K.[Kaile], Zhou, Y.[Yufu], Tian, J.[Jiao], Quan, G.[Guotao], Zhao, J.[Jun],
TT U-Net: Temporal Transformer U-Net for Motion Artifact Reduction Using PAD (Pseudo All-Phase Clinical-Dataset) in Cardiac CT,
MedImg(42), No. 12, December 2023, pp. 3805-3816.
IEEE DOI Code:
WWW Link. 2312
BibRef

Lin, W.[Weiyuan], Gao, Z.[Zhifan], Liu, H.[Hui], Zhang, H.[Heye],
A Deformable Constraint Transport Network for Optimal Aortic Segmentation From CT Images,
MedImg(43), No. 4, April 2024, pp. 1462-1475.
IEEE DOI 2404
Image segmentation, Biomedical imaging, Computed tomography, Feature extraction, Geometry, Topology, Decoding, transformer BibRef

Mineo, R.[Raffaele], Salanitri, F.P.[F. Proietto], Bellitto, G., Kavasidis, I., de Filippo, O., Millesimo, M., de Ferrari, G.M., Aldinucci, M., Giordano, D., Palazzo, S., d'Ascenzo, F., Spampinato, C.,
A Convolutional-Transformer Model for FFR and iFR Assessment From Coronary Angiography,
MedImg(43), No. 8, August 2024, pp. 2866-2877.
IEEE DOI 2408
Feature extraction, Angiography, Transformers, Visualization, Solid modeling, Analytical models, Attention methods, coronary stenosis quantification BibRef

Xie, Z.Y.[Zhi-Ying], Zeinstra, N.[Nicole], Kirby, M.A.[Mitchell A.], Le, N.M.[Nhan Minh], Murry, C.E.[Charles E.], Zheng, Y.[Ying], Wang, R.K.[Ruikang K.],
Quantifying Microvascular Structure in Healthy and Infarcted Rat Hearts Using Optical Coherence Tomography Angiography,
MedImg(43), No. 8, August 2024, pp. 2878-2887.
IEEE DOI 2408
Heart, Imaging, Myocardium, Faces, Microscopy, Protocols, Optical coherence tomography angiography, angiographic imaging, vascular quantification BibRef

Shi, J.T.[Jian-Ting], Qu, G.X.[Gui-Xu], Li, Z.J.[Zhi-Jun],
UCSwin-UNet model for medical image segmentation based on cardiac haemangioma,
IET-IPR(18), No. 12, 2024, pp. 3302-3315.
DOI Link 2411
biomedical imaging, biomedical ultrasonics, blood vessels, convolutional neural nets, image segmentation BibRef

Zohranyan, V.[Vazgen], Navasardyan, V.[Vagner], Navasardyan, H.[Hayk], Borggrefe, J.[Jan], Navasardyan, S.[Shant],
Dr-SAM: An End-to-End Framework for Vascular Segmentation, Diameter Estimation, and Anomaly Detection on Angiography Images.,
DEF-AI-MIA24(5113-5121)
IEEE DOI 2410
Image segmentation, Angiography, Estimation, Benchmark testing, Anomaly detection, Zero-shot, Medical images, Aneurysm BibRef

Li, J.J.[Jia-Jian], Li, A.[Anwei], Fang, J.S.[Jian-Sheng], Hou, Y.[Yonghe], Song, C.[Chao], Yang, H.F.[Hui-Fang], Wang, J.W.[Jing-Wen], Liu, H.B.[Hong-Bo], Liu, J.[Jiang],
Combating Coronary Calcium Scoring Bias for Non-gated CT by Semantic Learning on Gated CT,
CVAMD23(2575-2583)
IEEE DOI 2401
BibRef