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Elastic image registration for guiding focal laser ablation of prostate cancer: Preliminary results

Tutkimustuotosvertaisarvioitu

Standard

Elastic image registration for guiding focal laser ablation of prostate cancer : Preliminary results. / Makni, Nasr; Puech, Philippe; Colin, Pierre; Azzouzi, Abdelrahmene; Mordon, Serge; Betrouni, Nacim.

julkaisussa: Computer Methods and Programs in Biomedicine, Vuosikerta 108, Nro 1, 10.2012, s. 213-223.

Tutkimustuotosvertaisarvioitu

Harvard

Makni, N, Puech, P, Colin, P, Azzouzi, A, Mordon, S & Betrouni, N 2012, 'Elastic image registration for guiding focal laser ablation of prostate cancer: Preliminary results', Computer Methods and Programs in Biomedicine, Vuosikerta. 108, Nro 1, Sivut 213-223. https://doi.org/10.1016/j.cmpb.2012.04.001

APA

Makni, N., Puech, P., Colin, P., Azzouzi, A., Mordon, S., & Betrouni, N. (2012). Elastic image registration for guiding focal laser ablation of prostate cancer: Preliminary results. Computer Methods and Programs in Biomedicine, 108(1), 213-223. https://doi.org/10.1016/j.cmpb.2012.04.001

Vancouver

Makni N, Puech P, Colin P, Azzouzi A, Mordon S, Betrouni N. Elastic image registration for guiding focal laser ablation of prostate cancer: Preliminary results. Computer Methods and Programs in Biomedicine. 2012 loka;108(1):213-223. https://doi.org/10.1016/j.cmpb.2012.04.001

Author

Makni, Nasr ; Puech, Philippe ; Colin, Pierre ; Azzouzi, Abdelrahmene ; Mordon, Serge ; Betrouni, Nacim. / Elastic image registration for guiding focal laser ablation of prostate cancer : Preliminary results. Julkaisussa: Computer Methods and Programs in Biomedicine. 2012 ; Vuosikerta 108, Nro 1. Sivut 213-223.

Bibtex - Lataa

@article{77c4f0aeae084dca9aa1202c5bb5ed39,
title = "Elastic image registration for guiding focal laser ablation of prostate cancer: Preliminary results",
abstract = "Purpose: To guide ultrasound-driven prostate photodynamic therapy using information from MRI-based treatment planning. Methods: Robust points matching (RPM) and thin plate splines (TPS) are used to solve correspondences and to map optimally positioned landmarks from MR images to transrectal ultrasound (TRUS) images. The algorithm uses a reduced number of anatomical markers that are initialized on the images. Results: Both phantom and patient data were used to evaluate precision and robustness of the method. Mean registration error (±standard deviation) was of 2.18. ±. 0.25. mm and 1.55. ±. 0.31. mm for patient prostate and urethra, respectively. Repeated tests with different markers initialization conditions showed that the quality of registration was neither influenced by the number of markers nor to the human observer. Conclusion: This method allows for satisfyingly accurate and robust non rigid registration of MRI and TRUS and provides practitioners with substantial help in mapping treatment planning from pre-operative MRI to interventional TRUS.",
keywords = "Image-guided interventions, Magnetic resonance imaging, Non rigid registration, PDT, Prostate cancer, Transrectal ultrasound imaging",
author = "Nasr Makni and Philippe Puech and Pierre Colin and Abdelrahmene Azzouzi and Serge Mordon and Nacim Betrouni",
year = "2012",
month = "10",
doi = "10.1016/j.cmpb.2012.04.001",
language = "English",
volume = "108",
pages = "213--223",
journal = "Computer Methods and Programs in Biomedicine",
issn = "0169-2607",
publisher = "Elsevier",
number = "1",

}

RIS (suitable for import to EndNote) - Lataa

TY - JOUR

T1 - Elastic image registration for guiding focal laser ablation of prostate cancer

T2 - Preliminary results

AU - Makni, Nasr

AU - Puech, Philippe

AU - Colin, Pierre

AU - Azzouzi, Abdelrahmene

AU - Mordon, Serge

AU - Betrouni, Nacim

PY - 2012/10

Y1 - 2012/10

N2 - Purpose: To guide ultrasound-driven prostate photodynamic therapy using information from MRI-based treatment planning. Methods: Robust points matching (RPM) and thin plate splines (TPS) are used to solve correspondences and to map optimally positioned landmarks from MR images to transrectal ultrasound (TRUS) images. The algorithm uses a reduced number of anatomical markers that are initialized on the images. Results: Both phantom and patient data were used to evaluate precision and robustness of the method. Mean registration error (±standard deviation) was of 2.18. ±. 0.25. mm and 1.55. ±. 0.31. mm for patient prostate and urethra, respectively. Repeated tests with different markers initialization conditions showed that the quality of registration was neither influenced by the number of markers nor to the human observer. Conclusion: This method allows for satisfyingly accurate and robust non rigid registration of MRI and TRUS and provides practitioners with substantial help in mapping treatment planning from pre-operative MRI to interventional TRUS.

AB - Purpose: To guide ultrasound-driven prostate photodynamic therapy using information from MRI-based treatment planning. Methods: Robust points matching (RPM) and thin plate splines (TPS) are used to solve correspondences and to map optimally positioned landmarks from MR images to transrectal ultrasound (TRUS) images. The algorithm uses a reduced number of anatomical markers that are initialized on the images. Results: Both phantom and patient data were used to evaluate precision and robustness of the method. Mean registration error (±standard deviation) was of 2.18. ±. 0.25. mm and 1.55. ±. 0.31. mm for patient prostate and urethra, respectively. Repeated tests with different markers initialization conditions showed that the quality of registration was neither influenced by the number of markers nor to the human observer. Conclusion: This method allows for satisfyingly accurate and robust non rigid registration of MRI and TRUS and provides practitioners with substantial help in mapping treatment planning from pre-operative MRI to interventional TRUS.

KW - Image-guided interventions

KW - Magnetic resonance imaging

KW - Non rigid registration

KW - PDT

KW - Prostate cancer

KW - Transrectal ultrasound imaging

UR - http://www.scopus.com/inward/record.url?scp=84865711653&partnerID=8YFLogxK

U2 - 10.1016/j.cmpb.2012.04.001

DO - 10.1016/j.cmpb.2012.04.001

M3 - Article

VL - 108

SP - 213

EP - 223

JO - Computer Methods and Programs in Biomedicine

JF - Computer Methods and Programs in Biomedicine

SN - 0169-2607

IS - 1

ER -