Solid Mesh Registration for Radiotherapy Treatment Planning

TY - GEN

T1 - Solid Mesh Registration for Radiotherapy Treatment Planning

AU - Noe, Karsten Østergaard

AU - Sørensen, Thomas Sangild

N1 - Conference code: 2010

PY - 2010

Y1 - 2010

N2 - We present an algorithm for solid organ registration of pre-segmented data represented as tetrahedral meshes. Registration of the organ surface is driven by force terms based on a distance field representation of the source and reference shapes. Registration of internal morphology is achieved using a non-linear elastic finite element model. A key feature of the method is that the user does not need to specify boundary conditions (surface point correspondences) prior to the finite element analysis. Instead the boundary matches are found as an integrated part of the analysis. The method is evaluated on phantom data and prostate data obtained in vivo based on fiducial marker accuracy and inverse consistency of transformations. The parallel nature of the method allows an efficient implementation on a GPU and as a result the method is very fast. All validation registrations take less than 30 seconds to complete. The proposed method has many potential uses in image guided radiotherapy (IGRT) which relies on registration to account for organ deformation between treatment sessions.

AB - We present an algorithm for solid organ registration of pre-segmented data represented as tetrahedral meshes. Registration of the organ surface is driven by force terms based on a distance field representation of the source and reference shapes. Registration of internal morphology is achieved using a non-linear elastic finite element model. A key feature of the method is that the user does not need to specify boundary conditions (surface point correspondences) prior to the finite element analysis. Instead the boundary matches are found as an integrated part of the analysis. The method is evaluated on phantom data and prostate data obtained in vivo based on fiducial marker accuracy and inverse consistency of transformations. The parallel nature of the method allows an efficient implementation on a GPU and as a result the method is very fast. All validation registrations take less than 30 seconds to complete. The proposed method has many potential uses in image guided radiotherapy (IGRT) which relies on registration to account for organ deformation between treatment sessions.

U2 - 10.1007/978-3-642-11615-5_7

DO - 10.1007/978-3-642-11615-5_7

M3 - Conference article

SN - 0302-9743

VL - 5958

SP - 59

EP - 70

JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

T2 - International Symposium on Biomedical Simulation (ISBMS)

Y2 - 24 January 2010 through 24 January 2010

ER -