20.10.6.4.1 Medical Applications -- Aorta, Aortic Analysis

Chapter Contents (Back)
Aorta. Blood Vessels.

Rueckert, D., Burger, P., Forbat, S.M., Mohiaddin, R.D., Yang, G.Z.,
Automatic tracking of the aorta in cardiovascular MR images using deformable models,
MedImg(16), No. 5, October 1997, pp. 581-590.
IEEE Top Reference. 0205
BibRef

Olabarriaga, S.D., Rouet, J.M., Fradkin, M., Breeuwer, M., Niessen, W.J.,
Segmentation of Thrombus in Abdominal Aortic Aneurysms From CTA With Nonparametric Statistical Grey Level Appearance Modeling,
MedImg(24), No. 4, April 2005, pp. 477-485.
IEEE Abstract. 0501
BibRef

Luo, J., Fujikura, K., Tyrie, L.S., Tilson, M.D., Konofagou, E.E.,
Pulse Wave Imaging of Normal and Aneurysmal Abdominal Aortas In Vivo,
MedImg(28), No. 4, April 2009, pp. 477-486.
IEEE DOI 0904
BibRef

Isgum, I., Staring, M., Rutten, A., Prokop, M., Viergever, M.A., van Ginneken, B.,
Multi-Atlas-Based Segmentation With Local Decision Fusion: Application to Cardiac and Aortic Segmentation in CT Scans,
MedImg(28), No. 7, July 2009, pp. 1000-1010.
IEEE DOI 0906
BibRef

Auer, M., Gasser, T.C.,
Reconstruction and Finite Element Mesh Generation of Abdominal Aortic Aneurysms From Computerized Tomography Angiography Data With Minimal User Interactions,
MedImg(29), No. 4, April 2010, pp. 1022-1028.
IEEE DOI 1003
BibRef

Sotelo, J., Urbina, J., Valverde, I., Tejos, C., Irarrázaval, P., Andia, M.E., Uribe, S., Hurtado, D.E.,
3D Quantification of Wall Shear Stress and Oscillatory Shear Index Using a Finite-Element Method in 3D CINE PC-MRI Data of the Thoracic Aorta,
MedImg(35), No. 6, June 2016, pp. 1475-1487.
IEEE DOI 1606
Biomedical imaging BibRef

Thamsen, B., Yevtushenko, P., Gundelwein, L., Setio, A.A.A., Lamecker, H., Kelm, M., Schafstedde, M., Heimann, T., Kuehne, T., Goubergrits, L.,
Synthetic Database of Aortic Morphometry and Hemodynamics: Overcoming Medical Imaging Data Availability,
MedImg(40), No. 5, May 2021, pp. 1438-1449.
IEEE DOI 2105
Hemodynamics, Shape, Computational modeling, Diseases, Databases, Data models, Analytical models, Coarctation of the aorta, statistical shape model BibRef

Apostolakis, I.Z., Nandlall, S.D., Konofagou, E.E.,
Piecewise Pulse Wave Imaging (pPWI) for Detection and Monitoring of Focal Vascular Disease in Murine Aortas and Carotids In Vivo,
MedImg(35), No. 1, January 2016, pp. 13-28.
IEEE DOI 1601
Arteries BibRef

Jeon, B.[Byunghwan], Hong, Y.[Yoonmi], Han, D.J.[Dong-Jin], Jang, Y.G.[Yeong-Gul], Jung, S.[Sunghee], Hong, Y.[Youngtaek], Ha, S.[Seongmin], Shim, H.[Hackjoon], Chang, H.J.[Hyuk-Jae],
Maximum a posteriori estimation method for aorta localization and coronary seed identification,
PR(68), No. 1, 2017, pp. 222-232.
Elsevier DOI 1704
Bayesian BibRef

de Hoop, H., Petterson, N.J., van de Vosse, F.N., van Sambeek, M.R.H.M., Schwab, H.M., Lopata, R.G.P.,
Multiperspective Ultrasound Strain Imaging of the Abdominal Aorta,
MedImg(39), No. 11, November 2020, pp. 3714-3724.
IEEE DOI 2011
Strain, Biomedical imaging, Transducers, Geometry, Image resolution, Ultrasonic imaging, Ultrasound, multiperspective, abdominal aorta, elastography BibRef

Deidda, D.[Daniel], Akerele, M.I.[Mercy I.], Aykroyd, R.G.[Robert G.], Dweck, M.R.[Marc R.], Ferreira, K.[Kelley], Forsythe, R.O.[Rachael O.], Heetun, W.[Warda], Newby, D.E.[David E.], Syed, M.[Maaz], Tsoumpas, C.[Charalampos],
Improved identification of abdominal aortic aneurysm using the Kernelized Expectation Maximization algorithm,
Royal(A: 379), No. 2200, June 2021, pp. 20200201.
DOI Link 2107
BibRef

Chen, J.L.[Jia-Lei], Xie, Y.[Yujia], Wang, K.[Kan], Zhang, C.[Chuck], Vannan, M.A.[Mani A.], Wang, B.[Ben], Qian, Z.[Zhen],
Active Image Synthesis for Efficient Labeling,
PAMI(43), No. 11, November 2021, pp. 3770-3781.
IEEE DOI 2110
Aortic Stenosis application. Task analysis, Labeling, Manufacturing, Feature extraction, Generative adversarial networks, small-data learning BibRef


Bracamonte, J.[Johane], Wilson, J.S.[John S.], Soares, J.S.[Joao S.],
Modeling Patient-Specific Periaortic Interactions with Static and Dynamic Structures Using a Moving Heterogeneous Elastic Foundation Boundary Condition,
FIMH21(315-327).
Springer DOI 2108
BibRef

Wisneski, A.D.[Andrew D.], Cutugno, S.[Salvatore], Stroh, A.[Ashley], Pasta, S.[Salvatore], Yao, J.[Jiang], Mahadevan, V.S.[Vaikom S.], Guccione, J.M.[Julius M.],
From Clinical Imaging to Patient-Specific Computational Model: Rapid Adaptation of the Living Heart Human Model to a Case of Aortic Stenosis,
FIMH21(373-381).
Springer DOI 2108
BibRef

Stoecker, J.B.[Jordan B.], Eddinger, K.C.[Kevin C.], Pouch, A.M.[Alison M.], Jackson, B.M.[Benjamin M.],
Image-Derived Geometric Characteristics Predict Abdominal Aortic Aneurysm Growth in a Machine Learning Model,
FIMH21(35-45).
Springer DOI 2108
BibRef

Zimmermann, J.[Judith], Bäumler, K.[Kathrin], Loecher, M.[Michael], Cork, T.E.[Tyler E.], Kolawole, F.O.[Fikunwa O.], Gifford, K.[Kyle], Marsden, A.L.[Alison L.], Fleischmann, D.[Dominik], Ennis, D.B.[Daniel B.],
Quantitative Hemodynamics in Aortic Dissection: Comparing in Vitro MRI with FSI Simulation in a Compliant Model,
FIMH21(575-586).
Springer DOI 2108
BibRef

Romero, P.[Pau], Serra, D.[Dolors], Lozano, M.[Miguel], Sebastián, R.[Rafael], García-Fernández, I.[Ignacio],
Assessment of Geometric Models for the Approximation of Aorta Cross-Sections,
FIMH21(84-92).
Springer DOI 2108
BibRef

Aviles, J.[Jordina], Talou, G.D.M.[Gonzalo D. Maso], Camara, O.[Oscar], Córdova, M.M.[Marcos Mejía], Ferez, X.M.[Xabier Morales], Romero, D.[Daniel], Ferdian, E.[Edward], Gilbert, K.[Kathleen], Elsayed, A.[Ayah], Young, A.A.[Alistair A.], Dux-Santoy, L.[Lydia], Ruiz-Munoz, A.[Aroa], Teixido-Tura, G.[Gisela], Rodriguez-Palomares, J.[Jose], Guala, A.[Andrea],
Domain Adaptation for Automatic Aorta Segmentation of 4D Flow Magnetic Resonance Imaging Data from Multiple Vendor Scanners,
FIMH21(112-121).
Springer DOI 2108
BibRef

Babin, D.[Danilo], Devos, D.[Daniel], Platiša, L.[Ljiljana], Jovanov, L.[Ljubomir], Habijan, M.[Marija], Leventic, H.[Hrvoje], Philips, W.[Wilfried],
Segmentation of Phase-contrast MR Images for Aortic Pulse Wave Velocity Measurements,
ACIVS20(77-86).
Springer DOI 2003
BibRef

Karimkeshteh, S.[Sahar], Kaufhold, L.[Lilli], Nordmeyer, S.[Sarah], Jarmatz, L.[Lina], Harloff, A.[Andreas], Hennemuth, A.[Anja],
Comparing Subjects with Reference Populations - A Visualization Toolkit for the Analysis of Aortic Anatomy and Pressure Distribution,
FIMH19(370-378).
Springer DOI 1906
BibRef

Alvarez, L.[Luis], Santana-Cedrés, D.[Daniel], Tahoces, P.G.[Pablo G.], Carreira, J.M.[José M.],
Aorta Centerline Smoothing and Registration Using Variational Models,
SSVM19(447-458).
Springer DOI 1909
BibRef

Hagenah, J.[Jannis], Scharfschwerdt, M.[Michael], Schweikard, A.[Achim], Metzner, C.[Christoph],
Combining Deformation Modeling and Machine Learning for Personalized Prosthesis Size Prediction in Valve-Sparing Aortic Root Reconstruction,
FIMH17(461-470).
Springer DOI 1706
BibRef

Morariu, C.A., Thomas, M., Pauli, J., Dohle, D.S., Tsagakis, K.,
Sequential vs. batch machine-learning with evolutionary hyperparameter optimization for segmenting aortic dissection thrombus,
ICPR16(1189-1194)
IEEE DOI 1705
Aneurysm, Blood, Feature extraction, Image segmentation, Narrowband, Training BibRef

Palmer, R.I.[Robert Ieuan], Xie, X.H.[Xiang-Hua], Tam, G.K.L.[Gary K.L.],
Automatic Aortic Root Segmentation with Shape Constraints and Mesh Regularisation,
BMVC15(xx-yy).
DOI Link 1601
BibRef

Martínez-Mera, J.A.[Juan Antonio], Tahoces, P.G.[Pablo G.], Varela-Ponte, R., Suárez-Cuenca, J.J.[Jorge Juan], Souto, M.[Miguel], Carreira, J.M.[José M.],
Clinical Evaluation of an Automatic Method for Segmentation and Characterization of the Thoracic Aorta with and Without Aneurysm Patients,
IbPRIA15(727-734).
Springer DOI 1506
BibRef

Morariu, C.A.[Cosmin Adrian], Terheiden, T.[Tobias], Dohle, D.S.[Daniel Sebastian], Tsagakis, K.[Konstantinos], Pauli, J.[Josef],
Graph-Based and Variational Minimization of Statistical Cost Functionals for 3D Segmentation of Aortic Dissections,
GCPR14(511-522).
Springer DOI 1411
BibRef

Carminati, M.C., Piazzese, C., Weinert, L., Tsang, W., Tamborini, G., Pepi, M., Lang, R.M., Caiani, E.G.,
Automated Registration of 3D TEE Datasets of the Descending Aorta for Improved Examination and Quantification of Atheromas Burden,
WBIR14(83-92).
Springer DOI 1407
BibRef

Zheng, M.[Mingna], Carr, J.J.[J. Jeffery], Ge, Y.[Yaorong],
Automatic Aorta Detection in Non-contrast 3D Cardiac CT Images Using Bayesian Tracking Method,
MCV13(130-137).
Springer DOI 1405
BibRef

Bi, L.[Lei], Kim, J.M.[Jin-Man], Wen, L.F.[Ling-Feng], Feng, D.D.,
Automatic Descending Aorta Segmentation in Whole-Body PET-CT Studies for PERCIST-Based Thresholding,
DICTA12(1-6).
IEEE DOI 1303
BibRef

García, G.[Guillermo], Maiora, J.[Josu], Tapia, A.[Arantxa], de Blas, M.[Mariano],
Textural Classification of Abdominal Aortic Aneurysm after Endovascular Repair: Preliminary Results,
CAIP11(I: 537-544).
Springer DOI 1109
BibRef

Flehmann, E.[Eugen], ur Rahman, S.[Sami], Wesarg, S.[Stefan], Voelker, W.[Wolfram],
Towards Patient Specific Catheter Selection: Computation of Aortic Geometry Based on Fused MRI Data,
FIMH11(145-152).
Springer DOI 1105
BibRef

Lopez-Mir, F., Naranjo, V., Angulo, J., Villanueva, E., Alcaniz, M., Lopez-Celada, S.,
Aorta segmentation using the watershed algorithm for an augmented reality system in laparoscopic surgery,
ICIP11(2649-2652).
IEEE DOI 1201
BibRef

Petersen, K.[Kersten], Nielsen, M.[Mads], Brandt, S.S.[Sami S.],
A Static SMC Sampler on Shapes for the Automated Segmentation of Aortic Calcifications,
ECCV10(IV: 666-679).
Springer DOI 1009
BibRef

Petersen, K.[Kersten], Nielsen, M.[Mads], Brandt, S.S.[Sami S.],
Conditional Point Distribution Models,
MCV10(1-10).
Springer DOI 1009
BibRef

Wang, S.J.[Sheng-Jun], Fu, L.[Ling], Yue, Y.[Yong], Kang, Y.[Yan], Liu, J.[Jiren],
Fast and Automatic Segmentation of Ascending Aorta in MSCT Volume Data,
CISP09(1-5).
IEEE DOI 0910
BibRef

Zhao, F., Zhang, H., Wahle, A., Scholz, T.D., Sonka, M.,
Automated 4D Segmentation of Aortic Magnetic Resonance Images,
BMVC06(I:247).
PDF File. 0609
BibRef

de Bruijne, M.[Marleen],
A Pattern Classification Approach to Aorta Calcium Scoring in Radiographs,
CVBIA05(170-177).
Springer DOI 0601
BibRef

Conrad-Hansen, L.A.[Lars A.], de Bruijne, M.[Marleen], Lauze, F.[François], Tanko, L.B.[Laszlo B.], Nielsen, M.[Mads],
Quantizing Calcification in the Lumbar Aorta on 2-D Lateral X-Ray Images,
CVBIA05(409-418).
Springer DOI 0601
BibRef

Kitasaka, T., Mori, K., Hasegawa, J.I., Toriwaki, J.I.,
A method for automated extraction of aorta and pulmonary artery in the mediastimun using medial line models from 3D chest X-ray CT images without contrast materials,
ICPR02(III: 273-276).
IEEE DOI 0211
BibRef

Magee, D., Bulpitt, A., Berry, E.,
Automated Segmentation and Structural Analysis of Vascular Trees Using Deformable Models,
LevelSet01(xx-yy). 0106
BibRef
And:
Combining 3D Deformable Models and Level Set Methods for the Segmentation of Abdominal Aortic Aneurysms,
BMVC01(Session 4: Segmentation).
HTML Version. University of Leeds 0110
BibRef

Hasegawa, J.I., Toriwaki, J.I.,
A new filter for feature extraction of line pattern texture with application to cancer detection,
ICPR92(III:352-355).
IEEE DOI 9208
BibRef

Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Aneurysms -- Vascular Analysis .


Last update:Oct 20, 2021 at 09:45:26