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E Ruzický

Publications and source records attributed to E Ruzický.

6 recordsLinked to original sources

Combination warp-matching method for stereotactic neurosurgery.

Digital image warping is a growing branch of image processing that deals with geometric transformation techniques. A geometric transformation is an operating that redefines the spatial relationship between points in an image. Physically based modeling is a field strongly attracting research interest in recent years. A physically based model includes physical characteristics of things being modeled and specifies their behavior via mathematical equations. This paper presents a warp-matching method and a general non-rigid body representation suitable for physically based modeling of deformations of heterogeneous objects. The main aim is to develop a new heterogeneous warping technique to correct for distortion in medical data sets.

Humans↗

MR-guided stereotaxy in functional neurosurgery.

MR imaging enables the localization of the anteroposterior commissural line, but sometimes it is difficult to define the anterior commissure point. The corpus callosum is more easily identified in this case. We performed an MR imaging using the following methodology; a single transverse scan from which a coronal scan is planned with compensation. A sagittal scan is prescribed from the coronal slice, compensating for any misalignment of patient position. Finally the scan series are prescribed from the sagittal scan, following which we calculate MR distortion. This methodology was used for functional stereotaxy, and the results correlated well with the classical method.

Brain↗

Transformation of computed tomography and magnetic resonance images.

This paper discusses the transformation of computed tomography (CT) and magnetic resonance (MR) images, which maps the stereotactic volumetric cube of one examination to another. There are some mathematical problems connected with the present method. This approach provides a better visual detection and localization of the target point for the neurosurgeon or radiologist.

Humans↗

[CT and MR imaging in stereotaxic neurosurgery].

The combination of CT and MR examinations indicates a specific approach to the treatment of brain mass lesions. CT guided stereotaxy is sufficient for well demarcated tumors, haemorrhages and abscesses. MR guided stereotaxy is necessary to be performed in invasively growing brain tumors where explicit histological verification and localisation must be ascertained. In addition it is necessary to take into account the image deformation due to the stereotactic ring. In functional neurosurgery the MR examination visualises the anatomical structures which are needed for the ascertainment of coordinate systems landmarks in coordinate system. (Fig. 1, Tab. 1, Ref. 5.).

Aged↗

Stereotactic technique and pathophysiological mechanisms of neurotransplantation in Huntington's chorea.

In Huntington's chorea, embryonal brain tissue (striatum) was implanted in the caudate nucleus bilaterally, using stereotaxy assisted by CT. A special cannula allowed the placement into the brain of 3 or 4 grafts of embryonal tissue along the determined trajectory by one introduction of the cannula. The pathophysiological mechanism of neurotransplantation in Huntington's chorea is to compensate for the degenerated striatal tissue by embryonal striatum, so it is necessary to supply a quantity of embryonal striatal tissue which enables the whole functional integrity. Therefore, we use material from several embryos.

Brain Tissue Transplantation↗

Mathematical methods using CT and MR images for stereotactic neurosurgery.

A new application area in the practical usage of magnetic resonance imaging (MRI) has been identified as a methodology of stereotactic operation. In particular, our approach provides a solution for the straightforward definition of target and trepanation points for the purposes of stereotactic neurosurgical operation, and an exact testing of its result. The definition of the proper transformation between different examination data sets is a crucial mathematical problem. This is well done by morphing and the thin plate spline method.

Humans↗