Paper
11 March 2011 Automatic shape based deformable registration of multiphase contrast enhanced liver CT volumes
Marius Erdt, Georgios Sakas, Matthias Hammon, Stefano De Beni, Luigi Solbiati, Alexander Cavallaro
Author Affiliations +
Proceedings Volume 7962, Medical Imaging 2011: Image Processing; 796212 (2011) https://doi.org/10.1117/12.878094
Event: SPIE Medical Imaging, 2011, Lake Buena Vista (Orlando), Florida, United States
Abstract
The detection and assessment of many hepatic diseases is based on examination of multiphase liver CT volumes. Since phases contain complementary information, registration enables the radiologist to fuse the needed information for diagnosis or operation planning. This work presents a novel multi-stage approach for automatic registration of the liver in contrast enhanced CT volumes. Unlike other methods, our approach is based on automatic pre-segmentation of the liver in the different phases. Using the resulting shape information the volumes are coarsely registered using a landmark-based registration. Subsequently, deformations caused by the patient's breathing are compensated by an elastic Demons algorithm with a boundary distance based speed function. This allows for a high accuracy natural deformation without having to rely on error-prone extraction and matching of the liver's internal structure in complementary phases. Furthermore, since shape information is given, surrounding structures can be omitted which significantly speeds up registration. We evaluated our method using 22 CT volumes from 11 patients. The matching quality of outer shape and internal structures was validated by radiology experts. The high quality results of our approach suggest its applicability in clinical practice.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Marius Erdt, Georgios Sakas, Matthias Hammon, Stefano De Beni, Luigi Solbiati, and Alexander Cavallaro "Automatic shape based deformable registration of multiphase contrast enhanced liver CT volumes", Proc. SPIE 7962, Medical Imaging 2011: Image Processing, 796212 (11 March 2011); https://doi.org/10.1117/12.878094
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Cited by 7 scholarly publications.
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KEYWORDS
Liver

Image registration

Computed tomography

Data modeling

Image segmentation

Statistical modeling

Tissues

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