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A new CT prostate segmentation for CT-based HDR brachytherapy

Xiaofeng Yang, Peter Rossi, Tomi Ogunleye, Ashesh B. Jani, Walter J. Curran, Tian Liu, Ziv R. Yaniv, David R. Holmes
2014 Medical Imaging 2014: Image-Guided Procedures, Robotic Interventions, and Modeling  
These catheters are often inserted with transrectal ultrasound (TRUS) guidance and the HDR treatment plan is based on the CT images.  ...  High-dose-rate (HDR) brachytherapy has become a popular treatment modality for localized prostate cancer.  ...  ACKNOWLEDGEMENTS This research is supported in part by the Department of Defense (DoD) Prostate Cancer Research Program (PCRP) Award W81XWH-13-1-0269 and National Cancer Institute (NCI) Grant CA114313.  ... 
doi:10.1117/12.2043695 pmid:25821388 pmcid:PMC4376020 dblp:conf/miigp/YangROJCL14 fatcat:pmx3zwwz75czzfdnriq6nnwte4

3D segmentation of prostate ultrasound images using wavelet transform

Hamed Akbari, Xiaofeng Yang, Luma V. Halig, Baowei Fei, David R. Haynor, Benoit M. Dawant
2011 Medical Imaging 2011: Image Processing  
This paper presents a new method for automatic segmentation of the prostate in three-dimensional transrectal ultrasound images, by extracting texture features and by statistically matching geometrical  ...  The WSVMs capture texture priors of ultrasound images for classification of the prostate and non-prostate tissues in different zones around the prostate boundary.  ...  Segmentation of three-dimensional (3-D) transrectal ultrasound (TRUS) images may be utilized in prostate cancer biopsy and image-guided surgical planning and therapy [1] .  ... 
doi:10.1117/12.878072 pmid:22468205 pmcid:PMC3314427 dblp:conf/miip/AkbariYHF11 fatcat:khkaub4mgrcszoyj4lq3lmma5e

Image fusion techniques in permanent seed implantation

Alfredo Polo
2010 Journal of Contemporary Brachytherapy  
Each of these modalities has limitations providing all of the physical and geometric information required for the brachytherapy workflow.  ...  In this review I will focus on the role of image fusion for permanent seed implantation.  ...  [71] present a new approach for intraoperatively computing dosimetry for prostate brachytherapy. The approach uses transrectal ultrasound (TRUS) and fluoroscopic images.  ... 
doi:10.5114/jcb.2010.16920 pmid:27853470 pmcid:PMC5104828 fatcat:5csacgpdxvdarnmjyhfrzecxri

Anatomical Visions of Prostate Cancer in Different Modalities

Gaurav Garg, Mamta Juneja
2016 Indian Journal of Science and Technology  
Objectives: Prostate cancer (CaP) is the second utmost diagnosed cancer among aged men all over the world.  ...  CaP contributes as a main health issue for men, posing a challenge to oncologists, urologists, and radiologists for diagnosis purpose.  ...  CaP in Ultrasound Images Prostate Transrectal ultrasound (TRUS) investigation is the conventional procedure employed to achieve methodical fundamental operations of prostatic tissue for histological analysis  ... 
doi:10.17485/ijst/2016/v9i44/105093 fatcat:ltavibupmbecnd25kbt6m62a7a

Machine Learning in Prostate MRI for Prostate Cancer: Current Status and Future Opportunities

Huanye Li, Chau Hung Lee, David Chia, Zhiping Lin, Weimin Huang, Cher Heng Tan
2022 Diagnostics  
The Prostate Imaging Reporting and Data System (PI-RADS) is an established imaging-based scoring system that scores the probability of clinically significant prostate cancer on MRI to guide management.  ...  Advances in our understanding of the role of magnetic resonance imaging (MRI) for the detection of prostate cancer have enabled its integration into clinical routines in the past two decades.  ...  For interventions such as transrectal biopsy, focal therapy and high dose rate (HDR) brachytherapy procedures, the fusion of MR images with real-time ultrasound images facilitates accurate localisation  ... 
doi:10.3390/diagnostics12020289 pmid:35204380 pmcid:PMC8870978 fatcat:rpaecwqodveqplmvuyvu5ne52m

Front Matter: Volume 9786

2016 Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling  
Publication of record for individual papers is online in the SPIE Digital Library. SPIEDigitalLibrary.org Paper Numbering: Proceedings of SPIE follow an e-First publication model.  ...  .  The last two digits indicate publication order within the volume using a Base 36 numbering system employing both numerals and letters. These two-number sets start with 00, 01, 02, 03, 04,  ...  based segmentation for the prostate on 3D transrectal ultrasound images 9786 08 Resection planning for robotic acoustic neuroma surgery 9786 09 Fat segmentation on chest CT images via fuzzy models  ... 
doi:10.1117/12.2240097 dblp:conf/miigp/X16 fatcat:e2sr443rvfa7rcz24tfpgb44gy

Artificial Intelligence in Quantitative Ultrasound Imaging: A Review [article]

Boran Zhou, Xiaofeng Yang, Tian Liu
2020 arXiv   pre-print
Quantitative ultrasound (QUS) imaging is a reliable, fast and inexpensive technique to extract physically descriptive parameters for assessing pathologies.  ...  Despite its safety and efficacy, QUS suffers from several major drawbacks: poor imaging quality, inter- and intra-observer variability which hampers the reproducibility of measurements.  ...  In the second stage, these multi-view features were fed into a multiple kernel learning (MKL) based classifier for diagnosis. The images obtained from CEUS were segmented and registered.  ... 
arXiv:2003.11658v1 fatcat:iujuh7gra5ax7od2gxoo6yrbpe

Artificial Intelligence and Machine Learning in Prostate Cancer Patient Management—Current Trends and Future Perspectives

Octavian Sabin Tătaru, Mihai Dorin Vartolomei, Jens J. Rassweiler, Oșan Virgil, Giuseppe Lucarelli, Francesco Porpiglia, Daniele Amparore, Matteo Manfredi, Giuseppe Carrieri, Ugo Falagario, Daniela Terracciano, Ottavio de Cobelli (+3 others)
2021 Diagnostics  
When applied to diagnostic imaging, AI has shown excellent accuracy in the detection of prostate lesions as well as in the prediction of patient outcomes in terms of survival and treatment response.  ...  Radiotherapy is an essential part of the treatment of prostate cancer and it is often difficult to predict its toxicity for the patients.  ...  AI in Prostate Cancer ML Approach in TRUS Studies for Treatment of PCa For brachytherapy, ultrasound studies on prostate segmentation, a deeply supervised deep learning-based approach [78] , an efficient  ... 
doi:10.3390/diagnostics11020354 pmid:33672608 pmcid:PMC7924061 fatcat:jqktyzjrhjh2jaxvlpk3pomube

Multi-Channel Feature Pyramid Networks for Prostate Segmentation, Based on Transrectal Ultrasound Imaging

Lei Geng, Simu Li, Zhitao Xiao, Fang Zhang
2020 Applied Sciences  
Accurate segmentation for transrectal ultrasound imaging (TRUS) is often a challenging medical image processing task.  ...  In this paper, we construct a multi-channel feature pyramid network (MFPN) based on deep convolutional neural network-based prostate segmentation method to process multi-scale feature maps.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/app10113834 fatcat:jbeccr5jfnf25f45gx562p6pf4

Front Matter: Volume 9784

2016 Medical Imaging 2016: Image Processing  
fetal cortical surface parcellation [9784-18] SESSION 5 IMAGE ENHANCEMENT 9784 0K Geodesic denoising for optical coherence tomography images [9784-19] 9784 0L Combined self-learning based single-image  ...  shape analysis for cerebellar ataxia classification and cerebellar atrophy pattern visualization [9784-24] 9784 0Q Multi-object model-based multi-atlas segmentation for rodent brains using dense discrete  ...  [9784-85] 9784 2F 3D transrectal ultrasound (TRUS) prostate segmentation based on optimal feature learning framework [9784-86] 9784 2G Accurate airway segmentation based on intensity structure  ... 
doi:10.1117/12.2240619 fatcat:kot6cogf4rf6dcjhkzdrr5gahi

The use of deep learning in interventional radiotherapy (brachytherapy): a review with a focus on open source and open data [article]

Tobias Fechter, Ilias Sachpazidis, Dimos Baltas
2022 arXiv   pre-print
Deep learning advanced to one of the most important technologies in almost all medical fields. Especially in areas, related to medical imaging it plays a big role.  ...  However, in interventional radiotherapy (brachytherapy) deep learning is still in an early phase.  ...  A semi-automatic method for prostate delineation on CT and transrectal U/S (TRUS) images was shown by Girum et al. [33] .  ... 
arXiv:2205.07516v1 fatcat:mwin3gnexrg35bquqdeap25nea

Prostate Brachytherapy Training With Simulated Ultrasound and Fluoroscopy Images

O. Goksel, K. Sapchuk, W. J. Morris, S. E. Salcudean
2013 IEEE Transactions on Biomedical Engineering  
In this paper, a novel computer-based virtual training system for prostate brachytherapy is presented.  ...  This system incorporates, in a novel way, prior methodologies of ultrasound image synthesis and haptic transrectal ultrasound (TRUS) transducer interaction in a complete simulator that allows a trainee  ...  ACKNOWLEDGMENT The authors would like to thank the National Sciences and Engineering Research Council (NSERC) of Canada for the financial support of this work.  ... 
doi:10.1109/tbme.2012.2222642 pmid:23047861 fatcat:ltcqlglj7vehzbc6yizo6lszha

Front Matter: Volume 11315

Baowei Fei, Cristian A. Linte
2020 Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and Modeling  
following breast surgery 11315 2I Deep learning-based automatic prostate segmentation in 3D transrectal ultrasound images from multiple acquisition geometries and systems 11315 2K Assessment of therapy  ...  . 11315 1131501-4 Towards democratizing AI in MR-based prostate cancer diagnosis: 3.0 to 1.5 Tesla [11315-26] 11315 0S Automatic segmentation of brain tumor in intraoperative ultrasound images using  ... 
doi:10.1117/12.2570843 fatcat:bpkukhsnc5fgdcurdbbnpysxxm

Catheter position prediction using Deep‐learning‐based Multi‐atlas registration for High‐dose‐rate prostate brachytherapy

Yang Lei, Tonghe Wang, Yabo Fu, Justin Roper, Ashesh B. Jani, Tian Liu, Pretesh Patel, Xiaofeng Yang
2021 Medical Physics (Lancaster)  
We developed a new catheter placement prediction method for HDR prostate brachytherapy based on a deep-learning-based multi-atlas registration algorithm.  ...  To overcome this challenge, we proposed a learning-based method to provide HDR catheter placement guidance for prostate cancer patients undergoing HDR brachytherapy.  ...  1990s. 1, 2 In prostate HDR brachytherapy, 10-18 catheters are interstitially implanted to cover the prostate gland using transrectal ultrasound (TRUS) guidance. 3, 4 After catheter implantation and  ... 
doi:10.1002/mp.15206 pmid:34480801 pmcid:PMC8595586 fatcat:npudwu37xbhyveuz6tjnf3wt54

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  
Low contrast, speckle, micro-calcifications and imaging artifacts like shadow poses serious challenges to accurate prostate segmentation in transrectal ultrasound (TRUS) images.  ...  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
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