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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

Adaptation and evaluation of the multiple organs OSD for T2 MRI prostate segmentation

Ke Wu, Carole Garnier, Javad Alirezaie, Jean-Louis Dillenseger
2014 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society  
This paper deals with the adaptation, the tuning and the evaluation of the multiple organs Optimal Surface Detection (OSD) algorithm for the T2 MRI prostate segmentation.  ...  These three organs are then segmented together in a multiple organs OSD scheme which proposes a competition between the gray level characteristics and some topological and anatomical information of these  ...  Fig. 3 . 3 Initial segmentation of the prostate (green), bladder (red) and rectum (yellow): a) axial, b) sagittal slice and c) 3D shapes.  ... 
doi:10.1109/embc.2014.6944670 pmid:25571038 dblp:conf/embc/WuGAD14 fatcat:c74xiyw4lnf53ikgdj3aalkjry

Optimal Multi-Object Segmentation with Novel Gradient Vector Flow Based Shape Priors [article]

Junjie Bai, Abhay Shah, Xiaodong Wu
2017 arXiv   pre-print
The proposed algorithm is validated on two multi-object segmentation applications: the brain tissue segmentation in MRI images, and the bladder/prostate segmentation in CT images.  ...  The flexible and powerful prior shape representation is ready to be extended to simultaneously segmenting multiple interacting objects with minimum separation distance constraint.  ...  Acknowledgment This work was supported in part by the National Science Foundation (NSF) under Grant CCF-1318996, and in part by the the National Institutes of Health (NIH) under Grant R01-EB004640.  ... 
arXiv:1705.10311v1 fatcat:aej5lhuwrffcvlgzwe6rakzuga

Segmenting the prostate and rectum in CT imagery using anatomical constraints

Siqi Chen, D. Michael Lovelock, Richard J. Radke
2011 Medical Image Analysis  
The automatic segmentation of the prostate and rectum from 3-D computed tomography (CT) images is still a challenging problem, and is critical for image-guided therapy applications.  ...  The major contributions of this work are a new segmentation cost function based on a Bayesian framework that incorporates anatomical constraints from surrounding bones and a new appearance model that learns  ...  ACKNOWLEDGMENTS This work was supported in part by CenSSIS, the NSF Center for Subsurface Sensing and Imaging Systems, under the award EEC-9986821.  ... 
doi:10.1016/j.media.2010.06.004 pmid:20634121 fatcat:22gg2hamy5hivah6b2xk6xfhpa

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  
However in magnetic resonance (MR) images, superior soft tissue contrast highlights large variability in shape, size and texture information inside the prostate.  ...  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.  ...  The research is partially funded by Spanish science and innovation grant nb.TIN2011-23704.  ... 
doi:10.1016/j.cmpb.2012.04.006 pmid:22739209 fatcat:7hau5khr2bfq3iv2cadnytsg4a

Prostate segmentation on T2 MRI using Optimal Surface Detection

K. Wu, C. Garnier, H. Shu, J.-L. Dillenseger
2013 IRBM  
Three different cost functions for the graph have been explored, one based on the local gradient, another on a statistical model of shape and a third on a model of gradient profile.  ...  This paper deals with a T2 MRI prostate segmentation method. We assume to have an initial surface mesh obtained interactively or after a first rough segmentation.  ...  ) with gray level values close to those of the neighboring organs surface (bladder and rectum).  ... 
doi:10.1016/j.irbm.2013.07.005 fatcat:cp4rkhuqtncxdkll57xkvaktcq

Segmentation of pelvic structures for planning CT using a geometrical shape model tuned by a multi-scale edge detector

Fabio Martínez, Eduardo Romero, Gaël Dréan, Antoine Simon, Pascal Haigron, Renaud de Crevoisier, Oscar Acosta
2014 Physics in Medicine and Biology  
This paper introduces a new automatic method for prostate, rectum and bladder segmentation in planning CT using a geometrical shape model under a Bayesian framework.  ...  Results show that the method produces competitive segmentations w.r.t standard methods (Averaged Dice = 0.91 for prostate, 0.94 for bladder, 0.89 for Rectum) and outperforms the majority-vote multi-atlas  ...  Acknowledgements This work is partially supported by Rennes Metropole through a mobility scholarship and the project ANR TIGRE.  ... 
doi:10.1088/0031-9155/59/6/1471 pmid:24594798 pmcid:PMC5103036 fatcat:r2cc22xoyveprhlraslplwsr6i

A multi-modal prostate segmentation scheme by combining spectral clustering and active shape models

Robert Toth, Pallavi Tiwari, Mark Rosen, Arjun Kalyanpur, Sona Pungavkar, Anant Madabhushi, Joseph M. Reinhardt, Josien P. W. Pluim
2008 Medical Imaging 2008: Image Processing  
In this paper we present a novel scheme for accurate and automated prostate segmentation on in vivo 1.5 Tesla multi-modal MRI studies.  ...  an Active Shape Model (ASM) segmentation scheme where the ASM is initialized within the ROI obtained in the previous step.  ...  The authors would also like to acknowledge Johnson Henry from Teleradiology Solutions, Bangalore, India for his assistance in the expert segmentations.  ... 
doi:10.1117/12.770772 dblp:conf/miip/TothTRKPM08 fatcat:ned5fk6eeralhn4i3am46ggwym

Incorporating priors for medical image segmentation using a genetic algorithm

Payel Ghosh, Melanie Mitchell, James A. Tanyi, Arthur Y. Hung
2016 Neurocomputing  
The algorithm has been tested for prostate segmentation on pelvic computed tomography and magnetic resonance images.  ...  This paper presents a genetic algorithm for combining representations of learned information such as known shapes, regional properties and relative position of objects into a single framework to perform  ...  Xubo Song and Kun Yang for valuable discussions on this project.  ... 
doi:10.1016/j.neucom.2015.09.123 fatcat:ucnuoptamfa2hl2awt3n6un2qa

Accuracy Validation of an Automated Method for Prostate Segmentation in Magnetic Resonance Imaging

Maysam Shahedi, Derek W. Cool, Glenn S. Bauman, Matthew Bastian-Jordan, Aaron Fenster, Aaron D. Ward
2017 Journal of digital imaging  
Then, it defines the prostate surface using learned shape and appearance information from a set of training images.  ...  Loss of accuracy with respect to the semi-automatic algorithm was less than the measured inter-observer variability in manual segmentation for the same task.  ...  Compliance with Ethical Standards The study was approved by the research ethics board of our institution, and written informed consent was obtained from all patients prior to enrolment.  ... 
doi:10.1007/s10278-017-9964-7 pmid:28342043 fatcat:v5mnagutjvhvpnqyho2jpbkevu

A Novel NMF Guided Level-set for DWI Prostate Segmentation

Patrick McClure, Fahmi Khalifa
2014 Journal of computer science and systems biology  
)-based level-set method, and an average DSC of 0.810 ± 0.05 and an average HD of 9.07 ± 1.64 for a level-set driven only by intensity and shape information.  ...  The shape model is constructed using a set of training prostate volumes and is then updated during the segmentation process using an appearance-based method that takes into account both a voxel's location  ...  { } 1, 0,1 , 1, 0,1 ξ η ∈ − ∈ − and { } 1, 0,1 . ζ ∈ − 3D Appearance, shape, and spatial features Appearance-based shape model: Most prostates have a similar near-ellipsoidal shape [46] .  ... 
doi:10.4172/jcsb.1000158 fatcat:2nnuhnubhzc23j72zihdlovqla

Automatic Segmentation of Pelvic Cancers Using Deep Learning: State-of-the-Art Approaches and Challenges

Reza Kalantar, Gigin Lin, Jessica M. Winfield, Christina Messiou, Susan Lalondrelle, Matthew D. Blackledge, Dow-Mu Koh
2021 Diagnostics  
This review provides a comprehensive, non-systematic and clinically-oriented overview of 74 DL-based segmentation studies, published between January 2016 and December 2020, for bladder, prostate, cervical  ...  DL provides grounds for technological development of computer-aided diagnosis and segmentation in radiology and radiation oncology.  ...  Informed Consent Statement: Not applicable. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/diagnostics11111964 pmid:34829310 pmcid:PMC8625809 fatcat:alr36jtq6fgeddnluclp5neb2i

Multiatlas-Based Segmentation Editing With Interaction-Guided Patch Selection and Label Fusion

Sang Hyun Park, Yaozong Gao, Dinggang Shen
2016 IEEE Transactions on Biomedical Engineering  
For each combination, the atlas label patches well-matched with both interactions and the previous segmentation are identified.  ...  To demonstrate the generality of our method, we apply it to editing segmentations of CT prostate, CT brainstem, and MR hippocampus, respectively.  ...  Thus, the patch search range was set accordingly as 8 × 8 × 8 voxel 3 for the prostate and brainstem, and 4 × 4 × 4 voxel 3 for the hippocampus.  ... 
doi:10.1109/tbme.2015.2491612 pmid:26485353 pmcid:PMC4833707 fatcat:zcl24vohgjcota5jjrsnjm5sbq

Automated segmentation of the prostate in 3D MR images using a probabilistic atlas and a spatially constrained deformable model

Sébastien Martin, Jocelyne Troccaz, Vincent Daanen
2010 Medical Physics (Lancaster)  
In the second stage, a deformable surface evolves towards the prostate boundaries by merging information coming from the probabilistic segmentation, an image feature model and a statistical shape model  ...  Purpose: We present a fully automatic algorithm for the segmentation of the prostate in three-dimensional magnetic resonance (MR) images.  ...  Illustration of differences in bladder filling. (d) and (e) : two different exams (coronal view), the bladder is marked with a red cross Figure 3 : 3 Atlas obtained using our framework.  ... 
doi:10.1118/1.3315367 pmid:20443479 fatcat:jwlytndhajac7gpnkmrwyut7fu

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  
Prostate segmentation in 3-D transrectal ultrasound images is an important step in the definition of the intra-operative planning of high intensity focused ultrasound (HIFU) therapy.  ...  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.  ...  Rocher, D. 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
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