NDLI: Spatiotemporal methods for prostate cancer detection by contrast-ultrasound dispersion imaging

Content Provider	IEEE Xplore Digital Library
Author	Kuenen, M.P.J. Saidov, T.A. Mischi, M. Wijkstra, H.
Copyright Year	2012
Description	Author affiliation: Eindhoven Univ. of Technol., Eindhoven, Netherlands (Kuenen, M.P.J.; Saidov, T.A.; Mischi, M.) \|\| Acad. Med. Center, Amsterdam Univ. Hosp., Amsterdam, Netherlands (Wijkstra, H.)
Abstract	Prostate cancer is the most diagnosed form of cancer in men in western countries. The lack of reliable imaging solutions currently restricts treatment options to radical interventions. Reliable imaging of angiogenesis, which correlates with cancer aggressiveness, could enable efficient targeting of biopsies and focal therapies, but the complicated effects of angiogenesis on perfusion have prevented a breakthrough so far. As an alternative, contrast-ultrasound dispersion imaging (CUDI) has been proposed to obtain a better characterization of angiogenenic microvascular changes. CUDI makes use of dynamic contrast-enhanced ultrasound imaging after an intravenous contrast-agent bolus injection. Dispersion is estimated by spatiotemporal analysis of time-intensity curves (TICs) obtained at each pixel. Here we present an analytical framework for a dispersion analysis by estimation of the spatial TIC similarity. Data preprocessing is improved by a spatial Wiener deconvolution filter, which reduces the effects of the anisotropic spatial ultrasound resolution, and by TIC time windowing. In addition, we propose the TIC correlation coefficient as a new TIC similarity measure. A comparison of the resulting dispersion maps from 7 recordings with histology, obtained after radical prostatectomy, showed an increased spatial similarity in the presence of cancer in all patients. The cancer classification performance of CUDI was superior to all perfusion-related parameters and was improved by spatial filtering and windowing. Although an extended validation is required, these results confirm the promising value of CUDI for prostate cancer detection.
Starting Page	1331
Ending Page	1334
File Size	532275
Page Count	4
File Format	PDF
ISBN	9781467345613
ISSN	19485719
e-ISBN	9781467345620
DOI	10.1109/ULTSYM.2012.0332
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-07
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Imaging Dispersion Speckle Ultrasonic imaging Prostate cancer Correlation
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Three-dimensional contrast-ultrasound dispersion imaging for prostate cancer localization, a feasibility study

Contrast-ultrasound dispersion imaging of cancer neovascularization by mutual-information analysis

4-D spatiotemporal analysis of ultrasound contrast agent dispersion for prostate cancer localization: a feasibility study

Correspondence - Spatiotemporal correlation of ultrasound contrast agent dilution curves for angiogenesis localization by dispersion imaging

3D contrast ultrasound dispersion imaging by mutual information for prostate cancer localization

Coherence-based contrast ultrasound diffusion imaging for prostate cancer detection

Imaging of the dispersion coefficient of Ultrasound contrast agents by Wiener system identification for prostate cancer localization

Contrast ultrasound dispersion imaging of different tumor types

Detection of prostate cancer by contrast-ultrasound dispersion imaging

Spatiotemporal methods for prostate cancer detection by contrast-ultrasound dispersion imaging

Similar Documents

Three-dimensional contrast-ultrasound dispersion imaging for prostate cancer localization, a feasibility study

Contrast-ultrasound dispersion imaging of cancer neovascularization by mutual-information analysis

4-D spatiotemporal analysis of ultrasound contrast agent dispersion for prostate cancer localization: a feasibility study

Correspondence - Spatiotemporal correlation of ultrasound contrast agent dilution curves for angiogenesis localization by dispersion imaging

3D contrast ultrasound dispersion imaging by mutual information for prostate cancer localization

Coherence-based contrast ultrasound diffusion imaging for prostate cancer detection

Imaging of the dispersion coefficient of Ultrasound contrast agents by Wiener system identification for prostate cancer localization

Contrast ultrasound dispersion imaging of different tumor types

Detection of prostate cancer by contrast-ultrasound dispersion imaging

Spatiotemporal methods for prostate cancer detection by contrast-ultrasound dispersion imaging