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Relevant bibliographies by topics / Prostate – Ultrasonic imaging

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Academic literature on the topic 'Prostate – Ultrasonic imaging'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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Journal articles on the topic "Prostate – Ultrasonic imaging"

1

Kothapalli, Sri-Rajasekhar, Geoffrey A. Sonn, Jung Woo Choe, Amin Nikoozadeh, Anshuman Bhuyan, Kwan Kyu Park, Paul Cristman, et al. "Simultaneous transrectal ultrasound and photoacoustic human prostate imaging." Science Translational Medicine 11, no. 507 (August 28, 2019): eaav2169. http://dx.doi.org/10.1126/scitranslmed.aav2169.

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Imaging technologies that simultaneously provide anatomical, functional, and molecular information are emerging as an attractive choice for disease screening and management. Since the 1980s, transrectal ultrasound (TRUS) has been routinely used to visualize prostatic anatomy and guide needle biopsy, despite limited specificity. Photoacoustic imaging (PAI) provides functional and molecular information at ultrasonic resolution based on optical absorption. Combining the strengths of TRUS and PAI approaches, we report the development and bench-to-bedside translation of an integrated TRUS and photoacoustic (TRUSPA) device. TRUSPA uses a miniaturized capacitive micromachined ultrasonic transducer array for simultaneous imaging of anatomical and molecular optical contrasts [intrinsic: hemoglobin; extrinsic: intravenous indocyanine green (ICG)] of the human prostate. Hemoglobin absorption mapped vascularity of the prostate and surroundings, whereas ICG absorption enhanced the intraprostatic photoacoustic contrast. Future work using the TRUSPA device for biomarker-specific molecular imaging may enable a fundamentally new approach to prostate cancer diagnosis, prognostication, and therapeutic monitoring.

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Feleppa, Ernest J., Tian Liu, Andrew Kalisz, Mary C. Shao, Neil Fleshner, Victor Reuter, and William R. Fair. "Ultrasonic spectral-parameter imaging of the prostate." International Journal of Imaging Systems and Technology 8, no. 1 (1997): 11–25. http://dx.doi.org/10.1002/(sici)1098-1098(1997)8:1<11::aid-ima3>3.0.co;2-w.

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3

Suri, Jasjit S., and Ramkrishnan Narayanan. "METHOD OF ULTRASONIC IMAGING AND BIOPSY OF THE PROSTATE." Journal of the Acoustical Society of America 134, no. 4 (2013): 3114. http://dx.doi.org/10.1121/1.4824275.

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Feleppa, Ernest J., Mark Rondeau, Christopher R. Porter, Shreedevi Dasgupta, and Deborah Sparks. "ULTRASONIC TISSUE-TYPE IMAGING OF THE PROSTATE FOR PROSTATE-CANCER BIOPSY GUIDANCE AND TREATMENT PLANNING." Journal of Urology 181, no. 4 (April 2009): 707. http://dx.doi.org/10.1016/s0022-5347(09)61977-7.

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Scheipers, Ulrich, Helmut Ermert, Hans-Joerg Sommerfeld, Miguel Garcia-Schürmann, Theodor Senge, and Stathis Philippou. "Ultrasonic multifeature tissue characterization for prostate diagnostics." Ultrasound in Medicine & Biology 29, no. 8 (August 2003): 1137–49. http://dx.doi.org/10.1016/s0301-5629(03)00062-0.

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6

Liu, T., R. D. Ennis, P. B. Schiff, E. J. Feleppa, F. L. Lizzi, and G. J. Kutcher. "Ultrasonic tissue-typing imaging for guiding dose escalation of prostate cancer radiotherapy." International Journal of Radiation Oncology*Biology*Physics 57, no. 2 (October 2003): S336—S337. http://dx.doi.org/10.1016/s0360-3016(03)01222-7.

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Feleppa, Ernest J. "Ultrasonic tissue-type imaging of the prostate: Implications for biopsy and treatment guidance." Cancer Biomarkers 4, no. 4-5 (November 4, 2008): 201–12. http://dx.doi.org/10.3233/cbm-2008-44-504.

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8

Giesen, R. J. B., A. L. Huynen, J. J. M. C. H. de la Rosette, R. G. Aarnink, F. M. J. Debruyne, and H. Wijkstra. "Ultrasonic computer imaging of the prostate; correlation between longitudinal and transverse texture descriptions." European Journal of Ultrasound 2, no. 2 (April 1995): 145–49. http://dx.doi.org/10.1016/0929-8266(95)00091-7.

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Feleppa, Ernest J., Ronald D. Ennis, Peter B. Schiff, Cheng-Shie Wuu, Andrew Kalisz, Jeffery Ketterling, Stella Urban, et al. "Ultrasonic spectrum-analysis and neural-network classification as a basis for ultrasonic imaging to target brachytherapy of prostate cancer." Brachytherapy 1, no. 1 (January 2002): 48–53. http://dx.doi.org/10.1016/s1538-4721(02)00002-8.

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LIU, T., R. ENNIS, P. SCHIFF, S. KO, M. MANSUKHANI, M. BENSON, E. FELEPPA, P. LEE, J. KETTERLING, and F. LIZZI. "in vivo and ex vivo prostate cancer imaging using an ultrasonic tissue-typing technique for imaging-guided dose escalation of prostate cancer radiotherapy." International Journal of Radiation OncologyBiologyPhysics 60 (September 2004): S266. http://dx.doi.org/10.1016/s0360-3016(04)01316-1.

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Dissertations / Theses on the topic "Prostate – Ultrasonic imaging"

1

Zhao, Fangwei. "Multiresolution analysis of ultrasound images of the prostate /." Connect to this title, 2003. http://theses.library.uwa.edu.au/adt-WU2004.0028.

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Zhao, Fangwei. "Multiresolution analysis of ultrasound images of the prostate." University of Western Australia. School of Electrical, Electronic and Computer Engineering, 2004. http://theses.library.uwa.edu.au/adt-WU2004.0028.

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[Truncated abstract] Transrectal ultrasound (TRUS) has become the urologist’s primary tool for diagnosing and staging prostate cancer due to its real-time and non-invasive nature, low cost, and minimal discomfort. However, the interpretation of a prostate ultrasound image depends critically on the experience and expertise of a urologist and is still difficult and subjective. To overcome the subjective interpretation and facilitate objective diagnosis, computer aided analysis of ultrasound images of the prostate would be very helpful. Computer aided analysis of images may improve diagnostic accuracy by providing a more reproducible interpretation of the images. This thesis is an attempt to address several key elements of computer aided analysis of ultrasound images of the prostate. Specifically, it addresses the following tasks: 1. modelling B-mode ultrasound image formation and statistical properties; 2. reducing ultrasound speckle; and 3. extracting prostate contour. Speckle refers to the granular appearance that compromises the image quality and resolution in optics, synthetic aperture radar (SAR), and ultrasound. Due to the existence of speckle the appearance of a B-mode ultrasound image does not necessarily relate to the internal structure of the object being scanned. A computer simulation of B-mode ultrasound imaging is presented, which not only provides an insight into the nature of speckle, but also a viable test-bed for any ultrasound speckle reduction methods. Motivated by analysis of the statistical properties of the simulated images, the generalised Fisher-Tippett distribution is empirically proposed to analyse statistical properties of ultrasound images of the prostate. A speckle reduction scheme is then presented, which is based on Mallat and Zhong’s dyadic wavelet transform (MZDWT) and modelling statistical properties of the wavelet coefficients and exploiting their inter-scale correlation. Specifically, the squared modulus of the component wavelet coefficients are modelled as a two-state Gamma mixture. Interscale correlation is exploited by taking the harmonic mean of the posterior probability functions, which are derived from the Gamma mixture. This noise reduction scheme is applied to both simulated and real ultrasound images, and its performance is quite satisfactory in that the important features of the original noise corrupted image are preserved while most of the speckle noise is removed successfully. It is also evaluated both qualitatively and quantitatively by comparing it with median, Wiener, and Lee filters, and the results revealed that it surpasses all these filters. A novel contour extraction scheme (CES), which fuses MZDWT and snakes, is proposed on the basis of multiresolution analysis (MRA). Extraction of the prostate contour is placed in a multi-scale framework provided by MZDWT. Specifically, the external potential functions of the snake are designated as the modulus of the wavelet coefficients at different scales, and thus are “switchable”. Such a multi-scale snake, which deforms and migrates from coarse to fine scales, eventually extracts the contour of the prostate

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Ferreira, Daniel Miranda. "Previsão pré-operatória do estadiamento local do câncer prostático: análise multifatorial baseada em parâmetros clínicos, laboratoriais e de imagem por ressonância magnética e ultra-sonografia." Universidade de São Paulo, 2005. http://www.teses.usp.br/teses/disponiveis/5/5151/tde-06102014-122403/.

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INTRODUÇÃO: O câncer de próstata ocupa o segundo lugar entre as neoplasias de maior incidência na população masculina mundial. Uma vez estabelecido o diagnóstico, o estadiamento passa a ter papel fundamental na escolha da opção e tática terapêuticas. OBJETIVO: Avaliar as diferenças clínicas, laboratoriais e anatomopatológicas dos pacientes e determinar a acurácia, a sensibilidade, a especificidade e os valores preditivos positivo e negativo de vários exames pré-operatórios, avaliando isoladamente e em conjunto aqueles capazes de melhor prever o estadiamento local do câncer prostático. MÉTODOS: Foram analisados o antígeno prostático específico (PSA), as densidades de PSA calculadas pelos exames de ressonância magnética e ultra-som (DPSA), a graduação de Gleason, o número de sextantes positivos e a porcentagem de fragmentos positivos nas biópsias, as probabilidades de doença intraprostática, doença extracapsular e comprometimento das vesículas seminais segundo os nomogramas de Kattan e Partin, e os resultados dos exames de toque retal, da ressonância magnética com bobina endorretal e do ultra-som com Doppler de amplitude em relação ao estadiamento do câncer de próstata em 49 pacientes submetidos à prostatectomia radical. Os resultados foram comparados com os resultados anatomopatológicos. RESULTADOS: Dos 49 pacientes com tumores classificados clinicamente como intraprostáticos, respectivamente 59,2 %, 51,0 % e 32,7 % dos pacientes foram subestadiados clinicamente em relação à doença extraprostática, doença extracapsular e comprometimento das vesículas seminais. Estadiamentos clínicos iniciais tiveram taxas de subestadiamento menores e estadiamentos clínicos mais avançados tiveram taxas de subestadiamento maiores. As médias da maioria dos parâmetros clínicos e laboratoriais dos pacientes com doença avançada apresentaram valores maiores do que as médias dos pacientes com doença localizada. A biópsia prostática superestimou a graduação histopatológica final de Gleason em 10,2 % dos casos, subestimou a graduação em 49,0 % dos casos e a correlação foi idêntica em 40,8 %. A ressonância magnética, quando comparada aos outros parâmetros analisados de forma isolada, apresentou os maiores valores de acurácia na discriminação doença intraprostática x doença extraprostática (73,5 %), doença intracapsular x doença extracapsular (81,6 %) e comprometimento ou não das vesículas seminais (77,6 %). A acurácia geral dos modelos de regressão logística baseada nas variáveis contempladas foi de 71,4 % na previsão de doença extraprostática, 87,2 % na previsão de doença extracapsular e 81,0 % na previsão de comprometimento das vesículas seminais. CONCLUSÃO: A ressonância magnética com bobina endorretal se mostrou ser um dos melhores métodos para o estadiamento local do câncer de próstata e pode ser considerada no estudo de pacientes selecionados
INTRODUCTION: The prostate cancer is the second more frequent neoplasia in the worldwide male population. Since the diagnosis is established, the staging has a fundamental role on the choice of therapeutic option and tactics. OBJECTIVE: To evaluate the clinical, laboratory and anatomopathological differences of patients and determine the accuracy, sensitiveness, specificity and positive and negative predictive values of several preoperative examinations, by evaluating individually and conjointly those which are able to better predict the local staging of prostate cancer. METHODS: The prostate-specific antigen (PSA) was analyzed as well as the PSA densities (PSAD) were calculated through the magnetic resonance and ultrasound, the Gleason\'s grading, the number of positive sextants and the percentage of positive fragments in biopsies, the probabilities of intraprostatic disease, extracapsular disease and involvement of seminal vesicles according to Kattan and Partin\'s nomograms, and the results of rectal palpations, the use of endorectal coil magnetic resonance imaging and the use of amplitude Doppler ultrasound in relation to the staging of prostate cancer in 49 patients who were submitted to radical prostatectomy. The results were compared with the anatomopathological results. RESULTS: Among 49 patients with tumors clinically classified as intraprostatic, 59.2%, 51.0% and 32.7% patients respectively were clinically understaged in relation to extraprostatic disease, extracapsular disease and involvement of seminal vesicles. The initial clinical staging had lower substaging rates and the more advanced clinical staging had higher substaging rates. The averages of most clinical and laboratory parameters of patients with advanced disease presented values higher than the averages of patients with localized disease. The prostatic biopsy overestimated the Gleason\'s final histopathologic grade in 10.2% of cases, underestimated the grade in 49.0 % of cases and had identical correlation in 40.8%. The magnetic resonance imaging, when compared with all of other parameters analyzed isolately, presented the highest accuracy values in the discrimination intraprostatic disease x extraprostatic disease (73.5%), intracapsular disease x extracapsular disease (81.6 %) and the presence of seminal vesicles involvement (77.6%). The general accuracy of logistic regression models based on contemplated variables was of 71.4% in the extraprostatic disease prediction, 87.2% in the extracapsular disease prediction and 81.0% in the prediction of involvement of seminal vesicles. CONCLUSION: The use of endorectal coil magnetic resonance imaging was one of the best predictors of local staging of prostate cancer and could be considered in the study of selected patients

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Ghose, Soumya. "Robust image segmentation applied to magnetic resonance and ultrasound images of the prostate." Doctoral thesis, Universitat de Girona, 2012. http://hdl.handle.net/10803/98524.

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Prostate segmentation in trans rectal ultrasound (TRUS) and magnetic resonance images (MRI) facilitates volume estimation, multi-modal image registration, surgical planing and image guided prostate biopsies. The objective of this thesis is to develop computationally efficient prostate segmentation algorithms in both TRUS and MRI image modalities. In this thesis we propose a probabilistic learning approach to achieve a soft classification of the prostate for automatic initialization and evolution of a deformable model for prostate segmentation. Two deformable models are developed for the TRUS segmentation. An explicit shape and region prior based deformable model and an implicit deformable model guided by an energy minimization framework. Besides, in MRI, the posterior probabilities are fused with the soft segmentation coming from an atlas segmentation and a graph cut based energy minimization achieves the final segmentation. In both image modalities, statistically significant improvement are achieved compared to current works in the literature.
La segmentació de la pròstata en imatge d'ultrasò (US) i de ressonància magnètica (MRI) permet l'estimació del volum, el registre multi-modal i la planificació quirúrgica de biòpsies guiades per imatge. L'objectiu d'aquesta tesi és el desenvolupament d'algorismes automàtics per a la segmentació de la pròstata en aquestes modalitats. Es proposa un aprenentatge automàtic inical per obtenir una primera classificació de la pròstata que permet, a continuació, la inicialització i evolució de diferents models deformables. Per imatges d'US, es proposen un model explícit basat en forma i informació regional i un model implícit basat en la minimització d'una funció d'energia. En MRI, les probalitats inicials es fusionen amb una imatge de probabilitat provinent d'una segmentació basada en atlas, i la minimització es realitza mitjançant tècniques de grafs. El resultat final és una significant millora dels algorismes actuals en ambdues modalitats d'imatge.

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Books on the topic "Prostate – Ultrasonic imaging"

1

Ultrasound of the prostate. New York: Raven Press, 1988.

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Fornage, Bruno. Ultrasound of the prostate. Chichester: John Wiley, 1988.

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Ultrasound of the prostate: Imaging in the diagnosis and therapy of prostatic disease. 2nd ed. Philadelphia: Lippincott-Raven Publishers, 1997.

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International Workshop on Diagnostic Ultrasound of the Prostate (1st 1988 Washington, D.C.). Diagnostic ultrasound of the prostate: Proceedings of the First International Workshop on Diagnostic Ultrasound of the Prostate, held October 22 through 23, 1988, in Washington, D.C. Edited by Resnick Martin I, Watanabe Hiroki 1935-, Karr James P, and International Workshop on Diagnostic Ultrasound of the Prostate (1st : 1988 : Washington, D.C.). New York: Elsevier, 1989.

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I, Resnick Martin, ed. Prostatic ultrasonography. Philadelphia: B.C. Decker, 1990.

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1930-, Lee Fred, and McLeary Richard D, eds. The Use of transrectal ultrasound in the diagnosis and management of prostate cancer: Proceedings of a meeting held in Detroit, Michigan, September 11-12, 1986. New York: Liss, 1987.

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Diagnostic ultrasound of the prostate: Proceedings of the First International Workshop on Diagnostic Ultrasound of the Prostate, held October 22 through 23, 1988, in Washington, D.C. Elsevier, 1989.

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J, Catalona William, Coffey Donald S, Karr James P, and Organ Systems Program (National Cancer Institute). Prostate Cancer Working Group., eds. Clinical aspects of prostate cancer: Assessment of new diagnostic and management procedures : proceedings of a workshop of the Prostate Cancer Working Group of the National Cancer Institute's Organ Systems Program, held October 16-19, 1988, at Prout's Neck, Maine, U.S.A. New York: Elsevier, 1989.

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Beynon, J., Gernot Feifel, G. Feifel, Ulrich Hildebrandt, U. Hildebrandt, S. M. Goldberg, Neil J. McC Mortensen, et al. Endosonography in Gastroenterology, Gynecology and Urology. Springer, 2011.

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G, Feifel, Hildebrandt Ulrich, and Mortensen N. J. McC, eds. Endosonography in gastroenterology, gynecology, and urology. Berlin: Springer-Verlag, 1990.

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Book chapters on the topic "Prostate – Ultrasonic imaging"

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Feleppa, E. J., C. R. Porter, J. A. Ketterling, S. Dasgupta, S. Ramachandran, and D. Sparks. "Recent Advances in Ultrasonic Tissue-Type Imaging of the Prostate." In Acoustical Imaging, 331–39. Dordrecht: Springer Netherlands, 2007. http://dx.doi.org/10.1007/1-4020-5721-0_35.

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Feleppa, E., S. Dasgupta, S. Ramachandran, J. Ketterling, A. Kalisz, C. Porter, M. Lacrampe, C. Isacson, S. Haker, and C. Tempany. "Combining Ultrasonic and Magnetic-Resonance Spectral Methods for Imaging Prostate Cancer." In Acoustical Imaging, 139–45. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-8823-0_20.

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Feleppa, E. J., W. R. Fair, T. Liu, W. Larchian, A. Kalisz, V. Reuter, and A. Rosado. "Ultrasonic, Spectrum-Analysis, Tissue-Typing Images for Prostate-Biopsy Guidance and Staging." In Acoustical Imaging, 41–46. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4419-8588-0_7.

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Masotti, Leonardo, Elena Biagi, Alberto Acquafresca, Luca Breschi, Marco Calzolai, Rodolfo Facchini, Andrea Giombetti, Simona Granchi, Andrea Ricci, and Marco Scabia. "Ultrasonic Images of Tissue Local Power Spectrum by Means of Wavelet Packets for Prostate Cancer Detection." In Acoustical Imaging, 97–104. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4419-8606-1_13.

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Lin, Liwu, and Xinhua Zhong. "Ultrasonic Imaging Diagnosis of the Diseases of the Prostate." In Practical Clinical Ultrasonic Diagnosis, 258–66. WORLD SCIENTIFIC, 1997. http://dx.doi.org/10.1142/9789812819741_0013.

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Conference papers on the topic "Prostate – Ultrasonic imaging"

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Yang, Xiaofeng, Yang Lei, Sibo Tian, Tonghe Wang, Bo Wang, Ashesh B. Jani, Pretesh Patel, et al. "Ultrasound prostate segmentation based on 3D V-Net with deep supervision." In Ultrasonic Imaging and Tomography, edited by Nicole V. Ruiter and Brett C. Byram. SPIE, 2019. http://dx.doi.org/10.1117/12.2512558.

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Cheng, Alexis, Younsu Kim, Emran Mohammad Abu Anas, Arman Rahmim, Emad M. Boctor, Reza Seifabadi, and Bradford Wood. "Deep learning image reconstruction method for limited-angle ultrasound tomography in prostate cancer." In Ultrasonic Imaging and Tomography, edited by Nicole V. Ruiter and Brett C. Byram. SPIE, 2019. http://dx.doi.org/10.1117/12.2512533.

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Seifabadi, Reza, Alexis Cheng, Bilal Malik, Shun Kishimoto, James W. Wiskin, Jeeva Munasinghe, Ayele Negussie, et al. "Correlation of ultrasound tomography to MRI and pathology for the detection of prostate cancer." In Ultrasonic Imaging and Tomography, edited by Nicole V. Ruiter and Brett C. Byram. SPIE, 2019. http://dx.doi.org/10.1117/12.2512001.

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Fu, Yabo, Yang Lei, Tonghe Wang, Pretesh Patel, Ashesh B. Jani, Hui Mao, Walter J. Curran, Tian Liu, and Xiaofeng Yang. "Deformable MRI-US image registration using biomechanically constrained shape matching network for image-guided prostate intervention." In Ultrasonic Imaging and Tomography, edited by Nicole V. Ruiter and Brett C. Byram. SPIE, 2021. http://dx.doi.org/10.1117/12.2580789.

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Feleppa, Ernest J., Jeffrey A. Ketterling, Christopher R. Porter, John Gillespie, Cheng-Shie Wuu, Stella Urban, Andrew Kalisz, Ronald D. Ennis, and Peter B. Schiff. "Ultrasonic tissue-type imaging (TTI) for planning treatment of prostate cancer." In Medical Imaging 2004, edited by William F. Walker and Stanislav Y. Emelianov. SPIE, 2004. http://dx.doi.org/10.1117/12.543632.

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Yaseen, Mohammad A., H. P. F. Brecht, Sergey A. Ermilov, Reda R. Gharieb, Andre Conjusteau, and Alexander A. Oraevsky. "Hybrid optoacoustic and ultrasonic imaging system for detection of prostate malignancies." In Biomedical Optics (BiOS) 2008, edited by Alexander A. Oraevsky and Lihong V. Wang. SPIE, 2008. http://dx.doi.org/10.1117/12.769881.

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Song, Sang-Eun, Junichi Tokuda, Kemal Tuncali, Clare Tempany, and Nobuhiko Hata. "Development and preliminary evaluation of an ultrasonic motor actuated needle guide for 3T MRI-guided transperineal prostate interventions." In SPIE Medical Imaging, edited by David R. Holmes III and Kenneth H. Wong. SPIE, 2012. http://dx.doi.org/10.1117/12.911467.

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Feleppa, Ernest J., William R. Fair, Tian Liu, Andrew Kalisz, William Gnadt, Frederick L. Lizzi, K. C. Balaji, Christopher R. Porter, and Harold Tsai. "Two-dimensional and three-dimensional tissue-type imaging of the prostate based on ultrasonic spectrum analysis and neural network classification." In Medical Imaging 2000, edited by K. Kirk Shung and Michael F. Insana. SPIE, 2000. http://dx.doi.org/10.1117/12.382220.

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Hoffmann, Aswin L., Jean J. de la Rosette, and Hessel Wijkstra. "Proposed system for ultrasonic temperature imaging of the human prostate in vivo during transurethral microwave thermotherapy: data acquisition and initial experience." In Medical Imaging 2001, edited by Michael F. Insana and K. Kirk Shung. SPIE, 2001. http://dx.doi.org/10.1117/12.428240.

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Ketterling, J. A., E. J. Feleppa, S. Dasgupta, S. Ramachandran, C. R. Porter, M. LaCrampe, and D. Dail. "2G-2 Tissue-Type Imaging (TTI) of Prostate Cancer Based on Ultrasonic and Magnetic-Resonance Methods: Latest Developments." In 2006 IEEE Ultrasonics Symposium. IEEE, 2006. http://dx.doi.org/10.1109/ultsym.2006.172.

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