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Outi Sipilä

Publications and source records attributed to Outi Sipilä.

3 recordsLinked to original sources

Preoperative hepatic 3D models: virtual liver resection using three-dimensional imaging technique.

Emerging new techniques for liver resections set new requirements for the preoperative imaging and planning. Open surgery is a three-dimensional procedure and planning of the resection line may be difficult when basing on conventional two-dimensional CTs or MRIs, although all the information is there. With multidetector-row CT (MDCT), thin slices can be obtained with excellent temporal resolution, and precise three-dimensional (3D) models can be created. We regard 3D imaging technique useful in most liver resections. It improves the surgeon's knowledge of liver anatomy and makes even more complicated liver resections safe. Better knowledge of three-dimensional appearances of liver structures may further improve the results of curative liver surgery. However, before becoming a routine clinical procedure, research and development are still needed. Also, careful testing and evaluation of the methods have to be performed. In the future, 3D models will probably play an important role in the preoperative planning of liver resections.

Computer Simulation↗

A 3-D model-based registration approach for the PET, MR and MCG cardiac data fusion.

In this paper, a new approach is presented for the assessment of a 3-D anatomical and functional model of the heart including structural information from magnetic resonance imaging (MRI) and functional information from positron emission tomography (PET) and magnetocardiography (MCG). The method uses model-based co-registration of MR and PET images and marker-based registration for MRI and MCG. Model-based segmentation of MR anatomical images results in an individualized 3-D biventricular model of the heart including functional parameters from PET and MCG in an easily interpretable 3-D form.

Aged↗

A review of cardiac image registration methods.

In this paper, the current status of cardiac image registration methods is reviewed. The combination of information from multiple cardiac image modalities, such as magnetic resonance imaging, computed tomography, positron emission tomography, single-photon emission computed tomography, and ultrasound, is of increasing interest in the medical community for physiologic understanding and diagnostic purposes. Registration of cardiac images is a more complex problem than brain image registration because the heart is a nonrigid moving organ inside a moving body. Moreover, as compared to the registration of brain images, the heart exhibits much fewer accurate anatomical landmarks. In a clinical context, physicians often mentally integrate image information from different modalities. Automatic registration, based on computer programs, might, however, offer better accuracy and repeatability and save time.

Diagnostic Imaging↗