Paper
10 March 2006 A comparison of FFD-based nonrigid registration and AAMs applied to myocardial perfusion MRI
Hildur Ólafsdóttir, Mikkel B. Stegmann, Bjarne K. Ersbøll, Henrik B. W. Larsson
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Abstract
Little work has been done on comparing the performance of statistical model-based approaches and nonrigid registration algorithms. This paper deals with the qualitative and quantitative comparison of active appearance models (AAMs) and a nonrigid registration algorithm based on free-form deformations (FFDs). AAMs are known to be much faster than nonrigid registration algorithms. On the other hand nonrigid registration algorithms are independent of a training set as required to build an AAM. To obtain a further comparison of the two methods, they are both applied to automatically register multi-slice myocardial perfusion images. The images are acquired by magnetic resonance imaging, from infarct patients. A registration of these sequences is crucial for clinical practice, which currently is subjected to manual labor. In the paper, the pros and cons of the two registration approaches are discussed and qualitative and quantitative comparisons are provided. The quantitative comparison is obtained by an analysis of variance of landmark errors, i.e. point to point and point to curve errors. Even though the FFD-based approach does not include a training phase it gave similar accuracy as the AAMs in terms of point to point errors. For the point to curve errors the AAMs provided higher accuracy. In both cases AAMs gave higher precision due to the training procedure.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hildur Ólafsdóttir, Mikkel B. Stegmann, Bjarne K. Ersbøll, and Henrik B. W. Larsson "A comparison of FFD-based nonrigid registration and AAMs applied to myocardial perfusion MRI", Proc. SPIE 6144, Medical Imaging 2006: Image Processing, 614416 (10 March 2006); https://doi.org/10.1117/12.653759
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Cited by 8 scholarly publications.
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KEYWORDS
Image registration

Magnetic resonance imaging

Error analysis

Motion models

Statistical analysis

Distance measurement

Heart

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