Premium
SU‐GG‐J‐13: A New Self‐Consistent Inverse Deformation Field Generator and Its Applications
Author(s) -
Yan C,
Zhong H,
Murphy M,
Weiss E,
Siebers J
Publication year - 2008
Publication title -
medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 180
eISSN - 2473-4209
pISSN - 0094-2405
DOI - 10.1118/1.2961570
Subject(s) - image warping , generator (circuit theory) , point (geometry) , image (mathematics) , image registration , displacement (psychology) , algorithm , inverse , mathematics , displacement field , field (mathematics) , computer science , artificial intelligence , computer vision , geometry , physics , psychology , power (physics) , quantum mechanics , finite element method , psychotherapist , thermodynamics , pure mathematics
Purpose: To provide a tool to map image intensity, dose, and contours back‐and‐forth consistently between two images. Method and Materials: A new concept, a self‐consistent Inverse Displacement Vector Field (IDVF) is defined and an algorithm to generate the IDVF is implemented. A deformable image registration (DIR) algorithm was chosen to generate a DVF A‐B between reference image A and study image B . The same DIR algorithm is also used to generate DVF B‐A and our IDVF generator is used to create IDVF B‐A , which is consistent with DVF A‐B . To test whether DVF B‐A or IDVF B‐A better maps information from A‐B back to A for a lung 4D CT dataset, an arbitrary set of points S A is chosen and are warped to S B by using DVF A‐B . DVF B‐A is used to warp S B back to A to get S A D . Similarly, IDVF B‐A is used to warp S B back to A to get S A I . For each point in S A D(or S A I ), we know its original point in S A . Hence, one can calculate the Euclidean distance between each point in S A D(or S A I ) and its original point in S A to quantify the error in the back‐and‐forth image warping. Similarly, dose on A is warped to B and back to A . Results: The IDVF warped points from study back to reference with maximum error about 10 times smaller than using DVF B‐A . Similarly, the IDVF B‐A dose maximum warping error is about 2 times smaller than using DVF B‐A . Conclusion: This work shows that it is possible to generate self‐consistent IDVF with small mapping error. This IDVF is useful to warp contours and dose for IGART. (Work supported by NIH P01CA116602).