20.8.2.1 Liver Disease, Tomography, CAT Analysis

Chapter Contents (Back)
Reconstruction. Liver Disease. Tomography.

Bleck, J.S., Ranft, U., Gebel, M., Hecker, H., Westhoff-Bleck, M., Thiesemann, C., Wagner, S., Manns, M.,
Random field models in the textural analysis of ultrasonic images of the liver,
MedImg(15), No. 6, December 1996, pp. 796-801.
IEEE Top Reference. 0203
BibRef

Kadah, Y.M., Farag, A.A., Zurada, J.M., Badawi, A.M., Youssef, A.B.M.,
Classification algorithms for quantitative tissue characterization of diffuse liver disease from ultrasound images,
MedImg(15), No. 4, August 1996, pp. 466-478.
IEEE Top Reference. 0203
BibRef

Wu, C.M., Chen, Y.C.,
Multi-Threshold Dimension Vector for Texture Analysis and Its Application to Liver Tissue Classification,
PR(26), No. 1, January 1993, pp. 137-144.
WWW Version. BibRef 9301

Carrillo, A., Duerk, J.L., Lewin, J.S., Wilson, D.L.,
Semiautomatic 3-D image registration as applied to interventional MRI liver cancer treatment,
MedImg(19), No. 3, March 2000, pp. 175-185.
IEEE Top Reference. 0110
BibRef

Meyer, C.R., Park, H.[Hyunjin], Balter, J.M., Bland, P.H.,
Method for quantifying volumetric lesion change in interval liver CT examinations,
MedImg(22), No. 6, June 2003, pp. 776-781.
IEEE Abstract. 0308
BibRef

Bauer, C., Aurich, V., Arzhaeva, Y., Styner, M.A., van Ginneken, B., Heimann, T., Beichel, R., Chi, Y.[Ying], Cordova, A., Dawant, B.M., Fidrich, M., Furst, J.D., Furukawa, D., Grenacher, L., Hornegger, J., Kainmuller, D., Kitney, R.I., Kobatake, H., Lamecker, H., Lange, T., Lee, J.J.[Jeong-Jin], Lennon, B., Li, R.[Rui], Li, S.[Senhu], Meinzer, H.P., Nemeth, G., Raicu, D.S., Rau, A.M., van Rikxoort, E.M., Rousson, M., Rusko, L., Saddi, K.A., Schmidt, G., Seghers, D., Shimizu, A., Slagmolen, P., Sorantin, E., Soza, G., Susomboon, R., Becker, C., Beck, A., Bekes, G., Bello, F., Binnig, G., Bischof, H., Bornik, A., Cashman, P., Waite, J.M., Wimmer, A., Wolf, I.,
Comparison and Evaluation of Methods for Liver Segmentation From CT Datasets,
MedImg(28), No. 8, August 2009, pp. 1251-1265.
IEEE DOI Link 0909
Survey, Liver Segmentation. Evaluation, Liver Segmentation. BibRef

Lee, W.L.[Wen-Li], Chen, Y.C.[Yung-Chang], Hsieh, K.S.[Kai-Sheng],
Ultrasonic liver tissues classification by fractal feature vector based on M -band wavelet transform,
MedImg(22), No. 3, March 2003, pp. 382-392.
IEEE Abstract. 0306
BibRef

Chen, S.R.[Si-Rong], Ho, C., Feng, D.[Dagan], Chi, Z.[Zheru],
Tracer kinetic modeling of C11-acetate applied in the liver with positron emission tomography,
MedImg(23), No. 4, April 2004, pp. 426-432.
IEEE Abstract. 0406
BibRef

Blackall, J.M., Penney, G.P., King, A.P., Hawkes, D.J.,
Alignment of sparse freehand 3-D ultrasound with preoperative images of the liver using models of respiratory motion and deformation,
MedImg(24), No. 11, November 2005, pp. 1405-1416.
IEEE DOI Link 0512
BibRef

Lim, S.J.[Seong-Jae], Jeong, Y.Y.[Yong-Yeon], Ho, Y.S.[Yo-Sung],
Automatic liver segmentation for volume measurement in CT Images,
JVCIR(17), No. 4, August 2006, pp. 860-875.
WWW Version. 0711
Liver segmentation; Volume measurement; Morphological filtering; Deformable contouring; Computer-aided diagnosis BibRef

Casiraghi, E.[Elena], Campadelli, P.[Paola], Pratissoli, S.[Stella], Lombardi, G.[Gabriele],
Automatic Abdominal Organ Segmentation from CT images,
ELCVIA(8), No. 1, July 2009, pp. xx-yy.
WWW Version. 0909
BibRef
Earlier: A2, A1, A4, Only:
Automatic liver segmentation from abdominal CT scans,
CIAP07(731-736).
IEEE DOI Link 0709
BibRef

Bharathi, V.S.[V. Subbiah], Ganesan, L.,
Orthogonal moments based texture analysis of CT liver images,
PRL(29), No. 13, 1 October 2008, pp. 1868-1872.
WWW Version. 0804
Orthogonal moments; Texture; Feature selection; Classifier BibRef

Feuerstein, M., Mussack, T., Heining, S.M., Navab, N.,
Intraoperative Laparoscope Augmentation for Port Placement and Resection Planning in Minimally Invasive Liver Resection,
MedImg(27), No. 3, March 2008, pp. 355-369.
IEEE DOI Link 0803
BibRef

Feuerstein, M., Reichl, T., Vogel, J., Traub, J., Navab, N.,
Magneto-Optical Tracking of Flexible Laparoscopic Ultrasound: Model-Based Online Detection and Correction of Magnetic Tracking Errors,
MedImg(28), No. 6, June 2009, pp. 951-967.
IEEE DOI Link 0906
BibRef

Mescam, M., Kretowski, M., Bezy-Wendling, J.,
Multiscale Model of Liver DCE-MRI Towards a Better Understanding of Tumor Complexity,
MedImg(29), No. 3, March 2010, pp. 699-707.
IEEE DOI Link 1003
BibRef

Buerger, C., Clough, R.E., King, A.P., Schaeffter, T., Prieto, C.,
Nonrigid Motion Modeling of the Liver From 3-D Undersampled Self-Gated Golden-Radial Phase Encoded MRI,
MedImg(31), No. 3, March 2012, pp. 805-815.
IEEE DOI Link 1203
BibRef


Gloger, O.[Oliver], Toennies, K.[Klaus], Kuehn, J.P.[Jens-Peter],
Fully Automatic Liver Volumetry Using 3D Level Set Segmentation for Differentiated Liver Tissue Types in Multiple Contrast MR Datasets,
SCIA11(512-523).
Springer DOI Link 1105
BibRef

Kohara, S.[Shinya], Tateyama, T.[Tomoko], Foruzan, A.H.[Amir Hossein], Furukawa, A.[Akira], Kanasaki, S.[Shuzo], Wakamiya, M.[Makoto], Wei, X.[Xiong], Chen, Y.W.[Yen-Wei],
Preliminary study on statistical shape model applied to diagnosis of liver cirrhosis,
ICIP11(2921-2924).
IEEE DOI Link 1201
BibRef

Masuda, Y.[Yu], Tateyama, T.[Tomoko], Xiong, W.[Wei], Zhou, J.[Jiayin], Wakamiya, M.[Makoto], Kanasaki, S.[Syuzo], Furukawa, A.[Akira], Chen, Y.W.[Yen Wei],
Liver tumor detection in CT images by adaptive contrast enhancement and the EM/MPM algorithm,
ICIP11(1421-1424).
IEEE DOI Link 1201
BibRef

Virmani, J.[Jitendra], Kumar, V.[Vinod], Kalra, N.[Naveen], Khandelwal, N.[Niranjan],
Prediction of cirrhosis from liver ultrasound B-mode images based on Laws' masks analysis,
ICIIP11(1-5).
IEEE DOI Link 1112
BibRef

Lee, J.G.[June-Goo], Cai, W.L.[Wen-Li], Singh, A.[Anand], Yoshida, H.[Hiroyuki],
Estimation of Necrosis Volumes in Focal Liver Lesions Based on Multi-phase Hepatic CT Images,
VirtualColon10(60-67).
Springer DOI Link 1112
BibRef

Li, C.Y.[Chang-Yang], Wang, X.Y.[Xiu-Ying], Eberl, S.[Stefan], Fulham, M.J.[Michael J.], Yin, Y.[Yong], Feng, D.[Dagan],
Fully automated liver segmentation for low- and high- contrast CT volumes based on probabilistic atlases,
ICIP10(1733-1736).
IEEE DOI Link 1009
BibRef

Badakhshannoory, H.[Hossein], Saeedi, P.[Parvaneh],
Automatic Liver Segmentation from CT Scans Using Multi-layer Segmentation and Principal Component Analysis,
ISVC10(II: 342-350).
Springer DOI Link 1011
BibRef

Badakhshannoory, H.[Hossein], Saeedi, P.[Parvaneh], Qayumi, K.[Karim],
Liver segmentation based on deformable registration and multi-layer segmentation,
ICIP10(2549-2552).
IEEE DOI Link 1009
BibRef

Militzer, A.[Arne], Hager, T.[Tobias], Jager, F.[Florian], Tietjen, C.[Christian], Hornegger, J.[Joachim],
Automatic Detection and Segmentation of Focal Liver Lesions in Contrast Enhanced CT Images,
ICPR10(2524-2527).
IEEE DOI Link 1008
BibRef

Xie, X.H.[Xiao-Hui], Zhang, L.[Lei], Yu, X.F.[Xiao-Fang], Du, R.[Ruxu],
An interventional treatment plan system design on liver tumor,
IASP10(248-253).
IEEE DOI Link 1004
BibRef

Jha, A.K.[Abhinav K.], Rodriguez, J.J.[Jeffrey J.], Stephen, R.M.[Renu M.], Stopeck, A.T.[Alison T.],
A clustering algorithm for liver lesion segmentation of diffusion-weighted MR images,
Southwest10(93-96).
IEEE DOI Link 1005
BibRef

Fujita, Y.[Yusuke], Hamamoto, Y.[Yoshihiko], Segawa, M.[Makoto], Terai, S.[Shuji], Sakaida, I.[Isao],
An Improved Method for Cirrhosis Detection Using Liver's Ultrasound Images,
ICPR10(2294-2297).
IEEE DOI Link 1008
BibRef

Ribeiro, R.[Ricardo], Marinho, R.[Rui], Velosa, J.[José], Ramalho, F.[Fernando], Sanches, J.M.[Joćo Miguel],
Diffuse Liver Disease Classification from Ultrasound Surface Characterization, Clinical and Laboratorial Data,
IbPRIA11(167-175).
Springer DOI Link 1106
BibRef

Ribeiro, R.[Ricardo], Sanches, J.[Joćo],
Fatty Liver Characterization and Classification by Ultrasound,
IbPRIA09(354-361).
Springer DOI Link 0906
BibRef

Xiong, W.[Wei], Ong, S.H., Tian, Q.[Qi], Xu, G.Z.[Guo-Zhen], Zhou, J.Y.[Jia-Yin], Liu, J.[Jiang], Venkatash, S.K.,
Construction of a linear unbiased diffeomorphic probabilistic liver atlas from CT images,
ICIP09(1773-1776).
IEEE DOI Link 0911
BibRef

Liu, J.H.[Jian-Hua], Zhang, R.[Rui], Wang, J.W.[Jian-Wei],
Contour Correction Liver Cancer CT Image Segmentation Method Based on Snake Model,
CISP09(1-4).
IEEE DOI Link 0910
BibRef

Dagon, B.[Benoit], Baur, C.[Charles], Bettschart, V.[Vincent],
Real-time update of 3D deformable models for computer aided liver surgery,
ICPR08(1-4).
IEEE DOI Link 0812
BibRef

Chen, Y.W.[Yen-Wei], Tsubokawa, K.[Katsumi], Xu, R.[Rui], Morikawa, S.[Shigehiro], Kurumi, Y.[Yoshimasa],
Semiautomatic non-rigid 3-D image registration for MR-Guided Liver Cancer Surgery,
ICIP08(1800-1803).
IEEE DOI Link 0810
BibRef

Caldeira, L.[Liliana], Silva, I.[Isabela], Sanches, J.[Joao],
Automatic liver tumor diagnosis with Dynamic-Contrast Enhanced MRI,
ICIP08(2256-2259).
IEEE DOI Link 0810
BibRef

Ling, H.B.[Hai-Bin], Zhou, S.K.[S. Kevin], Zheng, Y.F.[Ye-Feng], Georgescu, B.[Bogdan], Suehling, M.[Michael], Comaniciu, D.[Dorin],
Hierarchical, learning-based automatic liver segmentation,
CVPR08(1-8).
IEEE DOI Link 0806
BibRef

Caldeira, L.L.[Liliana L.], Sanches, J.M.[Joćo M.],
Pharmacokinetic Perfusion Curves Estimation for Liver Tumor Diagnosis from DCE-MRI,
ICIAR08(xx-yy).
Springer DOI Link 0806
BibRef

Garamendi, J.F., Malpica, N., Martel, J., Schiavi, E.,
Automatic Segmentation of the Liver in CT Using Level Sets Without Edges,
IbPRIA07(I: 161-168).
Springer DOI Link 0706
See also Fast Anisotropic Mumford-Shah Functional Based Segmentation, A. BibRef

Areste, R., Yang, Y.Y.[Yong-Yi], Hsieh, J.[Jiang],
An Image Enhancement Procedure for 3D Visualization of Liver CT Data,
Southwest06(153-157).
IEEE DOI Link 0603
BibRef

Evans, A., Lambrou, T., Linney, A.D., Todd-Pokropek, A.,
Automatic 3D Segmentation of the Liver from Computed Tomography Images, a Discrete Deformable Model Approach,
ICARCV06(1-6).
IEEE DOI Link 0612
BibRef

Li, Y.Z.[Yuan-Zhong], Hara, S.[Shoji], Shimura, K.[Kazuo],
A Machine Learning Approach for Locating Boundaries of Liver Tumors in CT Images,
ICPR06(I: 400-403).
IEEE DOI Link 0609
BibRef

Tang, S.Y.[Song-Yuan], Chen, Y.W.[Yen-Wei], Xu, R.[Rui], Wang, Y.T.[Yong-Tian], Morikawa, S.[Shigehiro], Kurumi, Y.[Yoshimasa],
MR-CT Image Registration in Liver Cancer Treatment with an Open Configuration MR Scanner,
WBIR06(289-296).
Springer DOI Link 0607
BibRef

Mekada, Y.[Yoshito], Wakida, Y.[Yuki], Hayashi, Y.[Yuichiro], Ide, I.[Ichiro], Murase, H.[Hiroshi],
Spatiotemporal Density Feature Analysis to Detect Liver Cancer from Abdominal CT Angiography,
ACCV06(II:702-711).
Springer DOI Link 0601
BibRef

Krishnamurthy, C., Rodriguez, J.J., Gillies, R.J.,
Snake-based liver lesion segmentation,
Southwest04(187-191).
IEEE Abstract. 0411
BibRef

Saitoh, T., Tamura, Y., Kaneko, T.,
Automatic segmentation of liver region through blood vessels on multi-phase ct,
ICPR02(I: 735-738).
IEEE DOI Link 0211
BibRef

Agrafiotis, D., Jones, M., Nikolov, S.G., Halliwell, M., Bull, D.R., Canagarajah, C.N.,
Virtual Liver Biopsy: Image Processing and 3d Visualization,
ICIP01(II: 331-334).
IEEE Abstract. 0108
See also Fusion of 2-D Images Using Their Multiscale Edges. BibRef

King, A.P., Blackall, J.M., Penney, G.P., Hawkes, D.J.,
Tracking Liver Motion Using 3-D Ultrasound and a Surface-Based Statistical Shape Model,
MMBIA01(xx-yy). 0110
BibRef

Boes, J.L., Meyer, C.R., Weymouth, T.E.,
Liver Definition in CT Using a Population-Based Shape Model,
CVRMed95(XX-YY) BibRef 9500

Kovalev, V.A.[Vassili A.],
Rule-based method for tumor recognition in liver ultrasonic images,
CIAP95(216-222).
Springer DOI Link 9509
BibRef

Albregtsen, F.[Fritz], Schulerud, H.[Helene], Yang, L.[Luren],
Texture classification of mouse liver cell nuclei using invariant moments of consistent regions,
CAIP95(496-502).
Springer DOI Link 9509
BibRef

Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Tomographic Image Generation, CAT, CT, Reconstruction .


Last update:May 16, 2012 at 20:31:07