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Optimal Graph Search Segmentation Using Arc-Weighted Graph for Simultaneous Surface Detection of Bladder and Prostate [chapter]

Qi Song, Xiaodong Wu, Yunlong Liu, Mark Smith, John Buatti, Milan Sonka
2009 Lecture Notes in Computer Science  
Our new approach was applied to the simultaneous surface detection of bladder and prostate. The result was quite encouraging in spite of the low saliency of the bladder and prostate in CT images.  ...  The globally optimal surfaces can be simultaneously achieved by solving a maximum flow problem based on an arc-weighted graph representation.  ...  Simultaneous surface detection of bladder and prostate In this section, we apply our optimal graph searching method developed in Section 2 for simultaneous segmentation of bladder and prostate in 3-D CT  ... 
doi:10.1007/978-3-642-04271-3_100 fatcat:3ozgdhbxgfbotebesj6s6oxa7y

Simultaneous searching of globally optimal interacting surfaces with shape priors

Qi Song, Xiaodong Wu, Yunlong Liu, Milan Sonka, Mona Garvin
2010 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition  
An arc-weighted graph is constructed based on a shape model built from training datasets. A wide spectrum of constraints is then incorporated.  ...  Multiple surface searching with only image intensity information is a difficult job in the presence of high noise and weak edges.  ...  Acknowledgments This research was supported in part by the NSF grants CCF-0830402 and CCF-0844765, and the NIH grants R01 EB004640 and K25 CA123112.  ... 
doi:10.1109/cvpr.2010.5540025 dblp:conf/cvpr/SongWLSG10 fatcat:2xadc2sevjbqfaep7tlfdpfgg4

Graph Search with Appearance and Shape Information for 3-D Prostate and Bladder Segmentation [chapter]

Qi Song, Yinxiao Liu, Yunlong Liu, Punam K. Saha, Milan Sonka, Xiaodong Wu
2010 Lecture Notes in Computer Science  
We present a novel method incorporating both the shape and appearance information in a 3-D graph-theoretic framework to overcome those difficulties for simultaneous segmentation of prostate and bladder  ...  Both qualitative and quantitative results on prostate and bladder segmentation were promising, proving the power of our algorithm.  ...  Discussion and Conclusion We have presented how to incorporate boundary, region and shape information into an optimal 3-D graph search framework for multiple objects segmentation.  ... 
doi:10.1007/978-3-642-15711-0_22 fatcat:y3logdnnvfdvhmquarreirp62y

LOGISMOS—Layered Optimal Graph Image Segmentation of Multiple Objects and Surfaces: Cartilage Segmentation in the Knee Joint

Yin Yin, Xiangmin Zhang, Rachel Williams, Xiaodong Wu, Donald D Anderson, Milan Sonka
2010 IEEE Transactions on Medical Imaging  
A novel method for simultaneous segmentation of multiple interacting surfaces belonging to multiple interacting objects, called LOGISMOS (layered optimal graph image segmentation of multiple objects and  ...  The average signed surface positioning errors for the six detected surfaces ranged from 0.04 ± 0.12 mm to 0.16 ± 0.22 mm.  ...  Acknowledgments The contributions of C. Van Hofwegen, N. Laird, and N. Muhlenbruch who provided initial knee joint manual tracings, are gratefully acknowledged.  ... 
doi:10.1109/tmi.2010.2058861 pmid:20643602 pmcid:PMC3131162 fatcat:hnwxif523fcldeayigglefjuwu

Prostate Segmentation in HIFU Therapy

C Garnier, J.-J Bellanger, Ke Wu, Huazhong Shu, N Costet, R Mathieu, R de Crevoisier, J.-L Coatrieux
2011 IEEE Transactions on Medical Imaging  
Index Terms-Discrete dynamic contour (DDC), high intensity focused ultrasound (HIFU) therapy, optimal surface detection (OSD), prostate, segmentation, ultrasound images.  ...  This paper presents two main approaches for the semi-automatic methods based on discrete dynamic contour and optimal surface detection. They operate in 3-D and require a minimal user interaction.  ...  Velut, and C. Vurpillot from EDAP-TMS for the help they provide in accessing the datasets and for the data acquisitions on the Ablatherm platform.  ... 
doi:10.1109/tmi.2010.2095465 pmid:21118767 pmcid:PMC3095593 fatcat:hurlxsg6ongvhgorelmsrazd3y

A survey of prostate segmentation methodologies in ultrasound, magnetic resonance and computed tomography images

Soumya Ghose, Arnau Oliver, Robert Martí, Xavier Lladó, Joan C. Vilanova, Jordi Freixenet, Jhimli Mitra, Désiré Sidibé, Fabrice Meriaudeau
2012 Computer Methods and Programs in Biomedicine  
We define a new taxonomy for prostate segmentation strategies that allows first to group the algorithms and then to point out the main advantages and drawbacks of each strategy.  ...  This article reviews the methods developed for prostate gland segmentation TRUS, MR and CT images, the three primary imaging modalities that aids prostate cancer diagnosis and treatment.  ...  Acknowledgements This research has been funded by VALTEC 08-1-0039 of Generalitat de Catalunya, Spain and Conseil Régional de Bourgogne, France.  ... 
doi:10.1016/j.cmpb.2012.04.006 pmid:22739209 fatcat:7hau5khr2bfq3iv2cadnytsg4a

Optimal Surface Segmentation with Convex Priors in Irregularly Sampled Space

Abhay Shah, Michael D. Abrámoff, Xiaodong Wu
2019 Medical Image Analysis  
Optimal surface segmentation is a state-of-the-art method used for segmentation of multiple globally optimal surfaces in volumetric datasets.  ...  However, nodes in the graph based optimal surface segmentation method typically encode uniformly distributed orthogonal voxels of the volume.  ...  Various types of surface smoothness and surface separation constraints are used for simultaneous segmentation of multiple surfaces.  ... 
doi:10.1016/j.media.2019.02.004 pmid:30836307 pmcid:PMC6487211 fatcat:uzhnvwinwzf5djle3mnbn6wp2u

Computer-Assisted Analysis of Biomedical Images [article]

Leonardo Rundo
2021 arXiv   pre-print
As a matter of fact, the proposed computer-assisted bioimage analysis methods can be beneficial for the definition of imaging biomarkers, as well as for quantitative medicine and biology.  ...  In conclusion, the ultimate goal of these research studies is to gain clinically and biologically useful insights that can guide differential diagnosis and therapies, leading towards biomedical data integration  ...  This optimization is solved using a Graph cuts based method [64, 65] , by constructing two sub-graphs for PET and CT segmentation, respectively, and adding inter-subgraph arcs.  ... 
arXiv:2106.04381v1 fatcat:osqiyd3sbja3zgrby7bf4eljfm

Statistical shape models for 3D medical image segmentation: A review

Tobias Heimann, Hans-Peter Meinzer
2009 Medical Image Analysis  
Statistical shape models (SSMs) have by now been firmly established as a robust tool for segmentation of medical images.  ...  While 2D models have been in use since the early 1990s, wide-spread utilization of three-dimensional models appeared only in recent years, primarily made possible by breakthroughs in automatic detection  ...  We would like to thank Marleen de Bruijne from the DIKU group at the University of Copenhagen for many helpful comments and suggestions regarding this manuscript.  ... 
doi:10.1016/j.media.2009.05.004 pmid:19525140 fatcat:v3kiueomkvap7mqzxne7zgk3em

Automatic prostate segmentation in cone-beam computed tomography images using rigid registration

Christine Boydev, David Pasquier, Foued Derraz, Laurent Peyrodie, Abdelmalik Taleb-Ahmed, Jean-Philippe Thiran
2013 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)  
Automatic segmentation of cone-beam computed tomography images for prostate cancer radiation therapy. Urology and Nephrology. Université de Valenciennes et du Hainaut-Cambresis, 2015. English. .  ...  With smaller radii, the segmenting curve was stuck in local minima and unable to reach the boundary of the bladder, and for larger radii, it spread out of the bladder in order to detect farther, more salient  ...  The prostate, the bladder and the rectum were segmented independently.  ... 
doi:10.1109/embc.2013.6610420 pmid:24110607 dblp:conf/embc/BoydevPDPTT13 fatcat:4y6dbhsywvgnbla6jaz3womcmu

A survey on computational intelligence approaches for predictive modeling in prostate cancer

Georgina Cosma, David Brown, Matthew Archer, Masood Khan, A. Graham Pockley
2017 Expert systems with applications  
Metaheuristic optimisation approaches, such as the Ant Colony Optimisation, Particle Swarm Optimisation, and Artificial Immune Network have been utilised for optimis- * ing the performance of prostate  ...  This paper provides a survey of recent work on computational intelligence approaches that have been applied to prostate cancer predictive modeling, and considers the challenges which need to be addressed  ...  CANFIS initially adopts a Genetic Algorithm (GA) to simultane-405 ously search for features and thereafter uses the selected features to derive the fuzzy rules for prediction.  ... 
doi:10.1016/j.eswa.2016.11.006 fatcat:ii6gbq6qcbai5kxvcy4l7kkg54

Motion Planning Under Uncertainty for Image-guided Medical Needle Steering

Ron Alterovitz, Michael Branicky, Ken Goldberg
2008 The international journal of robotics research  
uncertainty using probability distributions, and computes optimal steering actions using Dynamic Programming.  ...  We apply the method to generate motion plans for steerable needles to reach targets inaccessible to stiff needles, and we illustrate the importance of considering uncertainty during motion plan optimization  ...  Frank van der Stappen for their suggestions, and clinicians Leonard Shlain of CPMC and I-Chow Hsu and Jean Pouliot of UCSF for their input on the medical aspects of this work.  ... 
doi:10.1177/0278364908097661 pmid:19890445 pmcid:PMC2772086 fatcat:75m5nfdhhvenleql7pb6fp3qai

TU-EE-A3-05: Scatter Radiation in Digital Tomosynthesis

B Liu, S Glick, X Gong
2005 Medical Physics (Lancaster)  
The MLC segments were imported back into the TPS where utilities were used to determine the optimal segment weights.  ...  Method and Materials: In direct aperture optimization only the leaf positions and segment weights are used to optimize the three dimensional dose distribution.  ...  Method and Materials: A pelvis phantom consisting of bladder, prostate, rectum, and bony structures, was constructed and scanned using a GE Discovery-ST CT for treatment planning.  ... 
doi:10.1118/1.1998434 fatcat:jnqebvqstnhixdmecqmh35gfbi

TU-B-I-617-01: High Field MRI - Technology, Applications, Safety, and Limitations

RJ Stafford
2005 Medical Physics (Lancaster)  
The MLC segments were imported back into the TPS where utilities were used to determine the optimal segment weights.  ...  Method and Materials: In direct aperture optimization only the leaf positions and segment weights are used to optimize the three dimensional dose distribution.  ...  Method and Materials: A pelvis phantom consisting of bladder, prostate, rectum, and bony structures, was constructed and scanned using a GE Discovery-ST CT for treatment planning.  ... 
doi:10.1118/1.1999700 fatcat:yub56igoe5cl3cthdpzwrdvjp4

SU-EE-A3-06: An Efficient Algorithm for Image-Based Dose Deformation and Accumulation

M Kaus, V Pekar, T McNutt, K Bzdusek
2005 Medical Physics (Lancaster)  
The MLC segments were imported back into the TPS where utilities were used to determine the optimal segment weights.  ...  Method and Materials: In direct aperture optimization only the leaf positions and segment weights are used to optimize the three dimensional dose distribution.  ...  Method and Materials: A pelvis phantom consisting of bladder, prostate, rectum, and bony structures, was constructed and scanned using a GE Discovery-ST CT for treatment planning.  ... 
doi:10.1118/1.1997464 fatcat:zue2hfmc5ze6ziwu332w3u2lue
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