Biomechanically based elastic breast registration using mass tensor simulation

We present a new approach for the registration of breast MR images, which are acquired at different time points for observation of lesion evolution. In this registration problem, it is of utmost importance to correct only for differences in patient positioning and to preserve other diagnostically im...

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Bibliographic Details
Published inMedical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention Vol. 9; no. Pt 2; p. 718
Main Authors Roose, Liesbet, Mollemans, Wouter, Loeckx, Dirk, Maes, Frederik, Suetens, Paul
Format Journal Article
LanguageEnglish
Published Germany 2006
Subjects
Algorithms
Artificial Intelligence
Biomechanical Phenomena - methods
Breast - pathology
Breast - physiopathology
Breast Neoplasms - pathology
Breast Neoplasms - physiopathology
Elasticity
Humans
Image Enhancement - methods
Image Interpretation, Computer-Assisted - methods
Imaging, Three-Dimensional - methods
Magnetic Resonance Imaging - methods
Pattern Recognition, Automated - methods
Reproducibility of Results
Sensitivity and Specificity
Stress, Mechanical
Subtraction Technique
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Summary:We present a new approach for the registration of breast MR images, which are acquired at different time points for observation of lesion evolution. In this registration problem, it is of utmost importance to correct only for differences in patient positioning and to preserve other diagnostically important differences between both images, resulting from anatomical and pathological changes between both acquisitions. Classical free form deformation algorithms are therefore less suited, since they allow too large local volume changes and their deformation is not biomechanically based. Instead of adding constraints or penalties to these methods in order to restrict unwanted deformations, we developed a truly biomechanically based registration method where the position of skin and muscle surface are used as the only boundary conditions. Results of our registration method show an important improvement in correspondence between the reference and the deformed floating image, without introducing physically implausible deformations and within a short computational time.
DOI:10.1007/11866763_88