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Combining population and patient-specific characteristics for prostate segmentation on 3D CT images
2016
Medical Imaging 2016: Image Processing
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Prostate segmentation on CT images is a challenging task. In this paper, we explore the population and patient-specific characteristics for the segmentation of the prostate on CT images. ...
Because population learning does not consider the inter-patient variations and because patient-specific learning may not perform well for different patients, we are combining the population and patient-specific ...
Specifically, we compute the similarity between the population and patient-specific models to combine the population and patient-specific characteristics for more accurate segmentation. ...
doi:10.1117/12.2216255
pmid:27660382
pmcid:PMC5029417
dblp:conf/miip/MaGTVSLTSF16
fatcat:qbemxt4t4zcwfjpkqybsbmkboy
Fully Automated Organ Segmentation in Male Pelvic CT Images
[article]
2018
arXiv
pre-print
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The models were trained and tested on a pelvic CT image dataset comprising 136 patients. ...
We present a fully automated workflow for male pelvic CT image segmentation using deep learning. ...
Ma et al. 23 proposed a combination of population-based and patient-based learning methods for segmenting the prostate on CT images. ...
arXiv:1805.12526v1
fatcat:bmfkx4zx3jclrewnlagnzjfpta
PO-0868: Optimal atlas size within OnQ rtsô for automated contouring of head and neck anatomical structures
2013
Radiotherapy and Oncology
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Therefore, it is necessary to construct a method for accurate 3D quantification of NIR error. ...
Our proposed method, which measures the distance and the direction of difference between reference and deformed contours, might be an effective method for evaluating NIR algorithms. ...
For each clinical case, coregistered CT and 3DUS image datasets were available. Each patient was manually segmented by a qualified clinician on the fusion dataset. ...
doi:10.1016/s0167-8140(15)33174-1
fatcat:bqwfeeqr3jdz3jtcio5qbwnxuq
PO-0869: Automated cross-modal 3D contouring algorithm for prostate 3D ultrasound-CT co-registered images
2013
Radiotherapy and Oncology
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Therefore, it is necessary to construct a method for accurate 3D quantification of NIR error. ...
Our proposed method, which measures the distance and the direction of difference between reference and deformed contours, might be an effective method for evaluating NIR algorithms. ...
For each clinical case, coregistered CT and 3DUS image datasets were available. Each patient was manually segmented by a qualified clinician on the fusion dataset. ...
doi:10.1016/s0167-8140(15)33175-3
fatcat:lzbbsinzvjbbjpoluqsqru4744
Online updating of context-aware landmark detectors for prostate localization in daily treatment CT images
2015
Medical Physics (Lancaster)
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To this end, the authors propose an online update scheme for landmarkguided prostate segmentation, which can fully exploit valuable patient-specific information contained in the previous treatment images ...
Results: The experimental results on 330 images of 24 patients show the effectiveness of the authors' proposed online update scheme in improving the accuracies of both landmark detection and prostate segmentation ...
In spite of high accuracy in CT prostate segmentation, the classification based methods require a sufficient number of manually segmented patient-specific images (i.e., at least three images) for training ...
doi:10.1118/1.4918755
pmid:25979051
pmcid:PMC4409630
fatcat:zqo6vhzn7rghdeht6zmwsr4czm
Automatic Segmentation of Pelvic Cancers Using Deep Learning: State-of-the-Art Approaches and Challenges
2021
Diagnostics
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and rectal cancers on computed tomography (CT) and magnetic resonance imaging (MRI), highlighting the key findings, challenges and limitations. ...
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 ...
From the 40 reviewed MRI-based prostate segmentation publications, 32 and 4 used 2D and 3D imaging data for training their DL networks, respectively, whilst one study used a combination of 2D and 3D input ...
doi:10.3390/diagnostics11111964
pmid:34829310
pmcid:PMC8625809
fatcat:alr36jtq6fgeddnluclp5neb2i
PO-0867: Novel evaluation method of non-rigid image registration algorithms for image-guided adapted radiation therapy
2013
Radiotherapy and Oncology
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Materials and Methods: The simulation computed tomography (sim-CT) and CBCT images of an electron density phantom and 5 prostate cancer patients were acquired. ...
The histograms of pixel values for each slice of the sim-CT and CBCT images of the electron density phantom and of the prostatic cancer patients were obtained with an in-house program. ...
For each clinical case, coregistered CT and 3DUS image datasets were available. Each patient was manually segmented by a qualified clinician on the fusion dataset. ...
doi:10.1016/s0167-8140(15)33173-x
fatcat:nfujlzjhjnawrn4h35miqodlsu
Assessment of Skeletal Tumor Load in Metastasized Castration-Resistant Prostate Cancer Patients: A Review of Available Methods and an Overview on Future Perspectives
2018
Bioengineering
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Studies could be categorized in the following categories: automated analysis of 2D scans, SUV-based thresholding, hybrid CT- and SUV-based thresholding, and MRI-based thresholding. ...
For this reason, many computational approaches have been developed in the last decades to quantify the skeletal tumor burden and treatment response. ...
For the purpose of the current review, we sorted these approaches in four different categories: 2D bone scan segmentation, 3D segmentation based on SUV threshold, 3D segmentation based on CT data or on ...
doi:10.3390/bioengineering5030058
pmid:30060546
fatcat:eelcsitxmzdlxctavdk44vcd44
Locally-constrained boundary regression for segmentation of prostate and rectum in the planning CT images
2015
Medical Image Analysis
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Our method is evaluated on a planning CT image dataset with 70 images from 70 different patients. ...
Automatic and accurate segmentation of the prostate and rectum in planning CT images is a challenging task due to low image contrast, unpredictable organ (relative) position, and uncertain existence of ...
[6] leveraged both population and patient-specific image information for prostate deformable segmentation. Liao et al. [7] and Li et al. ...
doi:10.1016/j.media.2015.06.007
pmid:26439938
pmcid:PMC4679541
fatcat:u2q5cgjnozbxvm7iewo7ai7244
Comparison of 68Ga-HBED-CC PSMA-PET/CT and multiparametric MRI for gross tumour volume detection in patients with primary prostate cancer based on slice by slice comparison with histopathology
2017
Theranostics
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In each in-vivo CT slice the prostate was separated into 4 equal segments and sensitivity and specificity for PSMA PET and mpMRI were assessed by comparison with histological reference material. ...
Resected prostates were scanned by ex-vivo CT in a special localizer and prepared for histopathology. ...
Nanko and his team for the construction of the localizer and the cutting advice. We would like to thank C. Nolden for his skillful support for spelling and grammar. ...
doi:10.7150/thno.16638
pmid:28042330
pmcid:PMC5196899
fatcat:4cp2dj26gbcgvgwljxnbgl7ocq
68Ga-PSMA-PET/CT for the evaluation of pulmonary metastases and opacities in patients with prostate cancer
2018
Cancer Imaging
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Methods: 68 Ga-PSMA-PET/CT scans of 739 PC patients available in our database were evaluated retrospectively for lung metastases and non-solid focal pulmonary opacities. ...
The purpose of this study was to investigate the imaging properties of pulmonary metastases and benign opacities in 68 Ga-PSMA positron emission tomography (PET) in patients with prostate cancer (PC). ...
Summary of the patients' characteristics, including age, PSA, GS and previous therapy. GS Gleason score, PSA prostate-specific antigen. ...
doi:10.1186/s40644-018-0154-8
pmid:29769114
pmcid:PMC5956855
fatcat:ut5ymyklcjg3blov5m6f23dhpi
A diffusion-weighted imaging based diagnostic system for early detection of prostate cancer
2013
Journal of Biomedical Science and Engineering
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A new framework for early diagnosis of prostate cancer using Diffusion-Weighted Imaging (DWI) is proposed. ...
structures based on a Maximum A Posteriori (MAP) estimate of a new log-likelihood function that accounts for the shape priori, the spatial interaction, and the current appearance of prostate tissues and ...
However, it has poor softtissue contrast resolution that does not allow precise distinction of the internal or external anatomy of the prostate and thus CT images have shown limited specificity for prostate ...
doi:10.4236/jbise.2013.63a044
fatcat:dtiq7lshs5d3vkm3ipoyehoy2m
Front Matter: Volume 9784
2016
Medical Imaging 2016: Image Processing
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[9784-21] 9784 0N A novel structured dictionary for fast processing of 3D medical images, with application to computed tomography restoration and denoising [9784-22] SESSION 6 SHAPE 9784 0P Landmark based ...
Combining multi-atlas segmentation with brain surface estimation [9784-13] 9784 0F Automated segmentation of upper digestive tract from abdominal contrast-enhanced CT data using hierarchical statistical ...
techniques evaluation based on a single compact breast mass
classification scheme [9784-77]
9784 27
Combining population and patient-specific characteristics for prostate segmentation on
3D CT images ...
doi:10.1117/12.2240619
fatcat:kot6cogf4rf6dcjhkzdrr5gahi
Image-guided intensity-modulated radiotherapy of prostate cancer
2015
Strahlentherapie und Onkologie (Print)
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Overall population mean set-up error, S Population systematic error, s Population random error. a Safety margin to accommodate for the combined error of patient setup accuracy and prostate motion using ...
In one patient a fiducial prostate marker migration was observed between the CT simulation and the first radiotherapy fraction. ...
doi:10.1007/s00066-015-0919-y
pmid:26545764
pmcid:PMC4718949
fatcat:uokljjkssndwfmx4djybvsmjei
A Comparison of US- Versus MR-Based 3-D Prostate Shapes Using Radial Basis Function Interpolation and Statistical Shape Models
2015
IEEE journal of biomedical and health informatics
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This paper presents a comparison of 3D segmentations of the prostate, based on 2D manually-segmented contours, obtained using ultrasound (US) and magnetic resonance (MR) imaging data collected from 40 ...
patients diagnosed with localized prostate cancer and scheduled to receive brachytherapy treatment. ...
For instance, in [17] , a cardiac left ventricle SSM model was built based on MR images with superior tissue definition and then used for contour segmentation in CT images without the need to re-train ...
doi:10.1109/jbhi.2014.2324975
pmid:24860042
fatcat:dqwm7qyonrcfdokadp3utxviwq
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