MRI-TRUS image synthesis with application to image-guided prostate intervention

John A. Onofrey; Ilkay Oksuz; Saradwata Sarkar; Rajesh Venkataraman; Lawrence H. Staib; Xenophon Papademetris

doi:10.1007/978-3-319-46630-9_16

MRI-TRUS image synthesis with application to image-guided prostate intervention

John A. Onofrey^*, Ilkay Oksuz, Saradwata Sarkar, Rajesh Venkataraman, Lawrence H. Staib, Xenophon Papademetris

^*Bu çalışma için yazışmadan sorumlu yazar

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

7 Atıf (Scopus)

Özet

Accurate and robust fusion of pre-procedure magnetic resonance imaging (MRI) to intra-procedure trans-rectal ultrasound (TRUS) imaging is necessary for image-guided prostate cancer biopsy procedures. The current clinical standard for image fusion relies on non-rigid surfacebased registration between semi-automatically segmented prostate surfaces in both the MRI and TRUS. This surface-based registration method does not take advantage of internal anatomical prostate structures, which have the potential to provide useful information for image registration. However, non-rigid, multi-modal intensity-based MRI-TRUS registration is challenging due to highly non-linear intensities relationships between MRI and TRUS. In this paper, we present preliminary work using image synthesis to cast this problem into a mono-modal registration task by using a large database of over 100 clinical MRI-TRUS image pairs to learn a joint model of MR-TRUS appearance. Thus, given an MRI, we use this learned joint appearance model to synthesize the patient’s corresponding TRUS image appearance with which we could potentially perform mono-modal intensity-based registration. We present preliminary results of this approach.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Simulation and Synthesis in Medical Imaging - 1st International Workshop, SASHIMI 2016 held in conjunction with MICCAI 2016, Proceedings
Editörler	Sotirios A. Tsaftaris, Ali Gooya, Alejandro F. Frangi, Jerry L. Prince
Yayınlayan	Springer Verlag
Sayfalar	157-166
Sayfa sayısı	10
ISBN (Basılı)	9783319466293
DOI'lar	https://doi.org/10.1007/978-3-319-46630-9_16
Yayın durumu	Yayınlandı - 2016
Harici olarak yayınlandı	Evet
Etkinlik	1st International Workshop on Simulation and Synthesis in Medical Imaging, SASHIMI 2016 held in conjunction with 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016 - Athens, Greece Süre: 21 Eki 2016 → 21 Eki 2016

Yayın serisi

Adı	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Hacim	9968 LNCS
ISSN (Basılı)	0302-9743
ISSN (Elektronik)	1611-3349

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???event.eventtypes.event.conference???	1st International Workshop on Simulation and Synthesis in Medical Imaging, SASHIMI 2016 held in conjunction with 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016
Ülke/Bölge	Greece
Şehir	Athens
Periyot	21/10/16 → 21/10/16

Bibliyografik not

Publisher Copyright:
© Springer International Publishing AG 2016.

BM SKH

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Belgeye Erişim

10.1007/978-3-319-46630-9_16

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Onofrey, J. A., Oksuz, I., Sarkar, S., Venkataraman, R., Staib, L. H., & Papademetris, X. (2016). MRI-TRUS image synthesis with application to image-guided prostate intervention. In S. A. Tsaftaris, A. Gooya, A. F. Frangi, & J. L. Prince (Eds.), Simulation and Synthesis in Medical Imaging - 1st International Workshop, SASHIMI 2016 held in conjunction with MICCAI 2016, Proceedings (pp. 157-166). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Hac. 9968 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-46630-9_16

Onofrey, John A. ; Oksuz, Ilkay ; Sarkar, Saradwata et al. / MRI-TRUS image synthesis with application to image-guided prostate intervention. Simulation and Synthesis in Medical Imaging - 1st International Workshop, SASHIMI 2016 held in conjunction with MICCAI 2016, Proceedings. editör / Sotirios A. Tsaftaris ; Ali Gooya ; Alejandro F. Frangi ; Jerry L. Prince. Springer Verlag, 2016. pp. 157-166 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{02f5e65581c8407db810c34c22302dfd,

title = "MRI-TRUS image synthesis with application to image-guided prostate intervention",

abstract = "Accurate and robust fusion of pre-procedure magnetic resonance imaging (MRI) to intra-procedure trans-rectal ultrasound (TRUS) imaging is necessary for image-guided prostate cancer biopsy procedures. The current clinical standard for image fusion relies on non-rigid surfacebased registration between semi-automatically segmented prostate surfaces in both the MRI and TRUS. This surface-based registration method does not take advantage of internal anatomical prostate structures, which have the potential to provide useful information for image registration. However, non-rigid, multi-modal intensity-based MRI-TRUS registration is challenging due to highly non-linear intensities relationships between MRI and TRUS. In this paper, we present preliminary work using image synthesis to cast this problem into a mono-modal registration task by using a large database of over 100 clinical MRI-TRUS image pairs to learn a joint model of MR-TRUS appearance. Thus, given an MRI, we use this learned joint appearance model to synthesize the patient{\textquoteright}s corresponding TRUS image appearance with which we could potentially perform mono-modal intensity-based registration. We present preliminary results of this approach.",

author = "Onofrey, {John A.} and Ilkay Oksuz and Saradwata Sarkar and Rajesh Venkataraman and Staib, {Lawrence H.} and Xenophon Papademetris",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2016.; 1st International Workshop on Simulation and Synthesis in Medical Imaging, SASHIMI 2016 held in conjunction with 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016 ; Conference date: 21-10-2016 Through 21-10-2016",

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editor = "Tsaftaris, {Sotirios A.} and Ali Gooya and Frangi, {Alejandro F.} and Prince, {Jerry L.}",

booktitle = "Simulation and Synthesis in Medical Imaging - 1st International Workshop, SASHIMI 2016 held in conjunction with MICCAI 2016, Proceedings",

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Onofrey, JA, Oksuz, I, Sarkar, S, Venkataraman, R, Staib, LH & Papademetris, X 2016, MRI-TRUS image synthesis with application to image-guided prostate intervention. in SA Tsaftaris, A Gooya, AF Frangi & JL Prince (eds), Simulation and Synthesis in Medical Imaging - 1st International Workshop, SASHIMI 2016 held in conjunction with MICCAI 2016, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), hac. 9968 LNCS, Springer Verlag, pp. 157-166, 1st International Workshop on Simulation and Synthesis in Medical Imaging, SASHIMI 2016 held in conjunction with 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016, Athens, Greece, 21/10/16. https://doi.org/10.1007/978-3-319-46630-9_16

MRI-TRUS image synthesis with application to image-guided prostate intervention. / Onofrey, John A.; Oksuz, Ilkay; Sarkar, Saradwata et al.
Simulation and Synthesis in Medical Imaging - 1st International Workshop, SASHIMI 2016 held in conjunction with MICCAI 2016, Proceedings. ed. / Sotirios A. Tsaftaris; Ali Gooya; Alejandro F. Frangi; Jerry L. Prince. Springer Verlag, 2016. p. 157-166 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Hac. 9968 LNCS).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - MRI-TRUS image synthesis with application to image-guided prostate intervention

AU - Onofrey, John A.

AU - Oksuz, Ilkay

AU - Sarkar, Saradwata

AU - Venkataraman, Rajesh

AU - Staib, Lawrence H.

AU - Papademetris, Xenophon

PY - 2016

Y1 - 2016

N2 - Accurate and robust fusion of pre-procedure magnetic resonance imaging (MRI) to intra-procedure trans-rectal ultrasound (TRUS) imaging is necessary for image-guided prostate cancer biopsy procedures. The current clinical standard for image fusion relies on non-rigid surfacebased registration between semi-automatically segmented prostate surfaces in both the MRI and TRUS. This surface-based registration method does not take advantage of internal anatomical prostate structures, which have the potential to provide useful information for image registration. However, non-rigid, multi-modal intensity-based MRI-TRUS registration is challenging due to highly non-linear intensities relationships between MRI and TRUS. In this paper, we present preliminary work using image synthesis to cast this problem into a mono-modal registration task by using a large database of over 100 clinical MRI-TRUS image pairs to learn a joint model of MR-TRUS appearance. Thus, given an MRI, we use this learned joint appearance model to synthesize the patient’s corresponding TRUS image appearance with which we could potentially perform mono-modal intensity-based registration. We present preliminary results of this approach.

AB - Accurate and robust fusion of pre-procedure magnetic resonance imaging (MRI) to intra-procedure trans-rectal ultrasound (TRUS) imaging is necessary for image-guided prostate cancer biopsy procedures. The current clinical standard for image fusion relies on non-rigid surfacebased registration between semi-automatically segmented prostate surfaces in both the MRI and TRUS. This surface-based registration method does not take advantage of internal anatomical prostate structures, which have the potential to provide useful information for image registration. However, non-rigid, multi-modal intensity-based MRI-TRUS registration is challenging due to highly non-linear intensities relationships between MRI and TRUS. In this paper, we present preliminary work using image synthesis to cast this problem into a mono-modal registration task by using a large database of over 100 clinical MRI-TRUS image pairs to learn a joint model of MR-TRUS appearance. Thus, given an MRI, we use this learned joint appearance model to synthesize the patient’s corresponding TRUS image appearance with which we could potentially perform mono-modal intensity-based registration. We present preliminary results of this approach.

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U2 - 10.1007/978-3-319-46630-9_16

DO - 10.1007/978-3-319-46630-9_16

M3 - Conference contribution

AN - SCOPUS:84994087204

SN - 9783319466293

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 157

EP - 166

BT - Simulation and Synthesis in Medical Imaging - 1st International Workshop, SASHIMI 2016 held in conjunction with MICCAI 2016, Proceedings

A2 - Tsaftaris, Sotirios A.

A2 - Gooya, Ali

A2 - Frangi, Alejandro F.

A2 - Prince, Jerry L.

PB - Springer Verlag

T2 - 1st International Workshop on Simulation and Synthesis in Medical Imaging, SASHIMI 2016 held in conjunction with 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016

Y2 - 21 October 2016 through 21 October 2016

ER -

Onofrey JA, Oksuz I, Sarkar S, Venkataraman R, Staib LH, Papademetris X. MRI-TRUS image synthesis with application to image-guided prostate intervention. In Tsaftaris SA, Gooya A, Frangi AF, Prince JL, editörler, Simulation and Synthesis in Medical Imaging - 1st International Workshop, SASHIMI 2016 held in conjunction with MICCAI 2016, Proceedings. Springer Verlag. 2016. p. 157-166. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-46630-9_16

MRI-TRUS image synthesis with application to image-guided prostate intervention

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Bibliyografik not

BM SKH

Belgeye Erişim

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