A fast intensity based non-rigid 2D-3D registration using statistical shape models with application in radiotherapy

Christoph Bodensteiner; Cristina Darolti; Achim Schweikard

doi:10.1117/12.805992

A fast intensity based non-rigid 2D-3D registration using statistical shape models with application in radiotherapy

Christoph Bodensteiner, Cristina Darolti, Achim Schweikard

Abstract

In this paper we present a novel fast method for the non-rigid registration of a few X-ray projections with CT data. The method involves non-parametric non-rigid registration techniques for the difficult 2D-3D case, combined with knowledge of probable deformations modeled as active shape models (ASMs). ASMs allow us to cope with as few as two projections by regularizing the registration process. The model is learned from deformations observed during respiration in a 4D-CT. This method can be applied in motion compensated radiation therapy to eliminate the need for fiducial implantation. We designed a fast C++ implementation for our method in order to make it practicable. Our tests on real 4D-CT data achieved registration times of 2-4 minutes using a desktop PC*.

Original language	English
Title of host publication	Image Processing: Algorithms and Systems VII
Number of pages	7
Publisher	SPIE
Publication date	16.06.2009
Article number	72450G
ISBN (Print)	978-081947495-7
DOIs	https://doi.org/10.1117/12.805992
Publication status	Published - 16.06.2009
Event	Image Processing: Algorithms and Systems VII - San Jose, United States Duration: 19.01.2009 → 22.01.2009 Conference number: 76102

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title = "A fast intensity based non-rigid 2D-3D registration using statistical shape models with application in radiotherapy",

abstract = "In this paper we present a novel fast method for the non-rigid registration of a few X-ray projections with CT data. The method involves non-parametric non-rigid registration techniques for the difficult 2D-3D case, combined with knowledge of probable deformations modeled as active shape models (ASMs). ASMs allow us to cope with as few as two projections by regularizing the registration process. The model is learned from deformations observed during respiration in a 4D-CT. This method can be applied in motion compensated radiation therapy to eliminate the need for fiducial implantation. We designed a fast C++ implementation for our method in order to make it practicable. Our tests on real 4D-CT data achieved registration times of 2-4 minutes using a desktop PC*.",

author = "Christoph Bodensteiner and Cristina Darolti and Achim Schweikard",

year = "2009",

month = jun,

day = "16",

doi = "10.1117/12.805992",

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isbn = "978-081947495-7",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

publisher = "SPIE",

booktitle = "Image Processing: Algorithms and Systems VII",

note = "Image Processing: Algorithms and Systems VII ; Conference date: 19-01-2009 Through 22-01-2009",

}

Bodensteiner, C, Darolti, C & Schweikard, A 2009, A fast intensity based non-rigid 2D-3D registration using statistical shape models with application in radiotherapy. in Image Processing: Algorithms and Systems VII., 72450G, Proceedings of SPIE - The International Society for Optical Engineering, SPIE, Image Processing: Algorithms and Systems VII, San Jose, California, United States, 19.01.09. https://doi.org/10.1117/12.805992

A fast intensity based non-rigid 2D-3D registration using statistical shape models with application in radiotherapy. / Bodensteiner, Christoph; Darolti, Cristina; Schweikard, Achim.
Image Processing: Algorithms and Systems VII. SPIE, 2009. 72450G (Proceedings of SPIE - The International Society for Optical Engineering).

Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

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T1 - A fast intensity based non-rigid 2D-3D registration using statistical shape models with application in radiotherapy

AU - Bodensteiner, Christoph

AU - Darolti, Cristina

AU - Schweikard, Achim

N1 - Conference code: 76102

PY - 2009/6/16

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N2 - In this paper we present a novel fast method for the non-rigid registration of a few X-ray projections with CT data. The method involves non-parametric non-rigid registration techniques for the difficult 2D-3D case, combined with knowledge of probable deformations modeled as active shape models (ASMs). ASMs allow us to cope with as few as two projections by regularizing the registration process. The model is learned from deformations observed during respiration in a 4D-CT. This method can be applied in motion compensated radiation therapy to eliminate the need for fiducial implantation. We designed a fast C++ implementation for our method in order to make it practicable. Our tests on real 4D-CT data achieved registration times of 2-4 minutes using a desktop PC*.

AB - In this paper we present a novel fast method for the non-rigid registration of a few X-ray projections with CT data. The method involves non-parametric non-rigid registration techniques for the difficult 2D-3D case, combined with knowledge of probable deformations modeled as active shape models (ASMs). ASMs allow us to cope with as few as two projections by regularizing the registration process. The model is learned from deformations observed during respiration in a 4D-CT. This method can be applied in motion compensated radiation therapy to eliminate the need for fiducial implantation. We designed a fast C++ implementation for our method in order to make it practicable. Our tests on real 4D-CT data achieved registration times of 2-4 minutes using a desktop PC*.

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M3 - Conference contribution

SN - 978-081947495-7

T3 - Proceedings of SPIE - The International Society for Optical Engineering

BT - Image Processing: Algorithms and Systems VII

PB - SPIE

T2 - Image Processing: Algorithms and Systems VII

Y2 - 19 January 2009 through 22 January 2009

ER -

A fast intensity based non-rigid 2D-3D registration using statistical shape models with application in radiotherapy

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