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Optimized prostate biopsy via a statistical atlas of cancer spatial distribution
2004
Medical Image Analysis
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A methodology is presented for constructing a statistical atlas of spatial distribution of prostate cancer from a large patient cohort, and it is used for optimizing needle biopsy. ...
Department of Defense, resulting in a statistical atlas of spatial distribution of prostate cancer. ...
Acknowledgements This work was supported in part by a grant from the National Science Foundation to the Engineering Research Center for Computer Integrated Surgical Systems and Technology. J. ...
doi:10.1016/j.media.2003.11.002
pmid:15063863
fatcat:7ezjynltevcgto3mdoabsise54
Targeted Prostate Biopsy Using Statistical Image Analysis
2007
IEEE Transactions on Medical Imaging
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First, a statistical atlas of the spatial distribution of prostate cancer is constructed from histological images obtained from radical prostatectomy specimen. ...
Index Terms-Biopsy optimization, prostate cancer, spatial normalization, statistical image analysis. ...
ACKNOWLEDGMENT The authors would like to acknowledge the DoD Center for Prostate Disease Research for providing the histological sections. ...
doi:10.1109/tmi.2006.891497
pmid:17679329
fatcat:dimtuimb6vhi3npmbnu2ccsoyy
Sampling the spatial patterns of cancer: Optimized biopsy procedures for estimating prostate cancer volume and Gleason Score
2009
Medical Image Analysis
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First, the spatial distributions of cancer in a patient population are learned, by constructing statistical atlases from histological images of prostate specimens with known cancer ground truths. ...
Finally, the optimized biopsy locations are utilized to estimate whether a new-coming prostate cancer patient has high or low CV/GS values, based on a binary classification formulation. ...
Mitch Schnall at the Hospital of the University of Pennsylvania (HUP) for discussions on clinical significance of prostate cancer. ...
doi:10.1016/j.media.2009.05.002
pmid:19524478
pmcid:PMC2748333
fatcat:s7kuqjun7zg5bggrlcsnlpzocm
Prostatome: A combined anatomical and disease based MRI atlas of the prostate
2014
Medical Physics (Lancaster)
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These techniques, may be applied on a large sample size data set to create a fully developed prostatome that could serve as a spatial prior for targeted biopsies by urologists. ...
As might have been anticipated from our limited cohort of biopsy confirmed cancers, the disease atlas showed that most of the tumor extent was limited to the peripheral zone. ...
Cancer spatial distribution atlas A ca coupled with the statistical shape atlas of the prostate anatomic substructures: (a)-(c) A cg , A pz , A pr ; (d)-(f) A carelative to statistical shape of the prostate ...
doi:10.1118/1.4881515
pmid:24989400
pmcid:PMC4187363
fatcat:4fbjpbss2jg43d6yfxedygzn5e
Application of statistical cancer atlas for 3D biopsy
2008
Image Processing: Algorithms and Systems VI
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Recently a statistical cancer atlas of the prostate was demonstrated along with an optimal biopsy scheme achieving a high detection rate. ...
While the atlas surface can be registered to a pre-segmented subject prostate surface or instead used to perform segmentation of the capsule via optimization of shape parameters to segment the subject ...
In Opell et al 8 , authors develop a spatial distribution map of cancers in the prostate concluding that the cancers are more commonly found in the posterior half, apical and mid regions of the prostate ...
doi:10.1117/12.766633
dblp:conf/ipas/NarayananSDCBWKS08
fatcat:43b6oofbbjdcvlxnvjtozpubpu
Three-Dimensional Sonography With Needle Tracking
2008
Journal of ultrasound in medicine
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Additionally, when fusing together different imaging modalities and cancer probability maps obtained from a population of interest, physicians can potentially place biopsy needles and other interventional ...
Image-guided prostate biopsy has become routine in medical diagnosis. ...
Opell et al 34 developed a spatial distribution map of cancers in the prostate: They concluded that the cancers were more commonly found in the posterior half and the apical and mid regions of the prostate ...
doi:10.7863/jum.2008.27.6.895
pmid:18499849
pmcid:PMC3402711
fatcat:x6rhjeyifjaehklstoosxh6e7m
Statistical 3D prostate imaging atlas construction via anatomically constrained registration
2013
Medical Imaging 2013: Image Processing
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Despite the high incidence of prostate cancer, an imaging atlas focused on different anatomic structures of the prostate, i.e. an anatomic atlas, has yet to be constructed. ...
Such distributions are useful for guiding biopsies toward regions of higher cancer likelihood and understanding imaging profiles for disease extent in vivo. ...
ACKNOWLEDGEMENTS This work was made possible by grants from the National Institute of Health (R01CA136535, R01CA140772, R43EB015199, R21CA167811), National Science Foundation (IIP-1248316), and the QED ...
doi:10.1117/12.2006941
pmid:24392203
pmcid:PMC3877325
dblp:conf/miip/RusuBJRGFLM13
fatcat:vpe3xhhwf5cr5jgdnam56vqoyy
A structural-functional MRI-based disease atlas: application to computer-aided-diagnosis of prostate cancer
2010
Medical Imaging 2010: Image Processing
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Most previous work on construction of anatomical atlases has focused on deriving a population-based atlas for the purpose of deriving the spatial statistics. ...
spatial atlas which captures the geographical proclivity of the disease, and (c) feature extraction and the construction of the data-driven multi-protocol MRI based prostate cancer atlas. ...
Coulter Foundation, New Jersey Commission on Cancer Research, National Cancer Institute (R01CA136535-01, R21CA127186-01, R03CA128081-01), the Cancer Institute of New Jersey, and Bioimagene Inc. ...
doi:10.1117/12.845554
dblp:conf/miip/XiaoBCGRLM10
fatcat:iw6r2n7q2nhvrcfvejfoh74x6e
Methodology to study the three-dimensional spatial distribution of prostate cancer and their dependence on clinical parameters
2015
Journal of Medical Imaging
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Spatial cancer distribution is assessed by counting the number of tumor occurrences among all glands in a given position of the 3-D registered atlas. ...
A methodology to study the relationship between clinical variables [e.g., prostate specific antigen (PSA) or Gleason score] and cancer spatial distribution is described. ...
Statistical Analysis Once all of the prostate glands have been registered into a unique atlas model, the spatial distribution is developed by counting the number of occurrences in a given position in the ...
doi:10.1117/1.jmi.2.3.037502
pmid:26236756
pmcid:PMC4518233
fatcat:i2hq7ywf6zhu3j374kgpfzkgcm
Deformable segmentation of 3D MR prostate images via distributed discriminative dictionary and ensemble learning
2014
Medical Physics (Lancaster)
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In addition to this nonparametric appearance model, a prostate shape model is learned from the shape statistics using a novel approach, sparse shape composition, which can model non-Gaussian distributions ...
Guo et al.: Deformable segmentation of prostate MRI via DDD learning 072303-2 Conclusions: A new magnetic resonance image prostate segmentation method is proposed based on the combination of deformable ...
prostate core biopsy 2, 3 has become a preferred alternative for prostate cancer detection. 4 To place the needle accurately during biopsy, accurate detection, localization, and characterization of ...
doi:10.1118/1.4884224
pmid:24989402
pmcid:PMC4105964
fatcat:ofyrc5vyrjbkdop5eayhrmammu
Prostate cancer radiomics and the promise of radiogenomics
2016
Translational Cancer Research
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a more personalized approach to prostate cancer management. ...
In radiotherapy of prostate cancer, dose escalation has been shown to reduce biochemical failure. ...
Efforts are underway for automation of this process by utilizing a prostate atlas. ...
pmid:29188191
pmcid:PMC5703221
fatcat:3xig5jwxbfhmxhexb2b4ivijb4
Recent Automatic Segmentation Algorithms of MRI Prostate Regions: A Review
2021
IEEE Access
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One of every 1174 five cancer diagnoses is a prostate cancer [197] Traditionally, 1175 prostate cancer is diagnosed by biopsy but there is evidence 1176 of an unequivocal benefit of multiparametric MRI-targeted ...
1177 biopsies for more systematic biopsies in diagnosis of prostate 1178 cancer. 1179 As the biopsy is planned, prostate MRI scanning helps in 1180 locating the target area, and therefore reduces the ...
doi:10.1109/access.2021.3090825
fatcat:l2xe2tdwk5b6ldn7axvzbp5a5a
Automated Prostate Gland Segmentation Based on an Unsupervised Fuzzy C-Means Clustering Technique Using Multispectral T1w and T2w MR Imaging
2017
Information
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Prostate imaging analysis is difficult in diagnosis, therapy, and staging of prostate cancer. ...
This approach, using an unsupervised Machine Learning technique, helps to segment the prostate gland effectively. A total of 21 patients with suspicion of prostate cancer were enrolled in this study. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/info8020049
fatcat:3petzh66ezhf7fukdtkkd2sykm
Prostate Cancer Detection via a Quantitative Radiomics-Driven Conditional Random Field Framework
2015
IEEE Access
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a plethora of mineable data, which can be used for both detection and prognosis of prostate cancer. ...
Motivated by this, we present a novel approach for automatic prostate cancer detection using a radiomics-driven conditional random field (RD-CRF) framework. ...
In a two-stage computer-aided prostate cancer detection system, Litjens et al. detected initial candidates via multi-atlas-based prostate segmentation using a selective and iterative method for performance ...
doi:10.1109/access.2015.2502220
fatcat:u2pwqteiinad7dfdknsi3ykvwi
Prostate biopsy tracking with deformation estimation
2012
Medical Image Analysis
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Transrectal biopsies under 2D ultrasound (US) control are the current clinical standard for prostate cancer diagnosis. ...
Tracking systems for prostate biopsies make it possible to generate biopsy distribution maps for intra- and post-interventional quality control and 3D visualisation of histological results for diagnosis ...
We would furthermore like to thank Sébastien Martin, PhD, TIMC laboratory, Grenoble, France, for making his statistical prostate shape and deformation priors available for the segmentation module of the ...
doi:10.1016/j.media.2011.01.008
pmid:21705263
fatcat:x3vh5id5e5bjnlbdtyu6vptrca
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