Biomedical subjects

Sascha Krueger

Publications and source records attributed to Sascha Krueger.

5 recordsLinked to original sources

PubMed2006

MR-guided breast biopsy using an active marker: a phantom study.

PURPOSE: To evaluate the advantages of using an active marker (active micro coil) for MR-guided breast biopsy procedures. MATERIALS AND METHODS: An add-on breast biopsy guidance device used with a standard breast coil was equipped with an active marker. The marker's position was determined with a dedicated MRI sequence. In combination with custom software, the biopsy planning process was reduced basically to defining the target in the diagnostic MR images. Automatic control scans verified the settings of the biopsy guidance device. To measure the targeting accuracy, x-ray control of the needle placement was performed in phantoms containing 36 small titanium cylinders. The reliability of the procedure was evaluated in 24 core needle biopsies on phantoms. Workflow enhancements were analyzed. RESULTS: The root mean square deviation of the needle position from the target perpendicular to the needle axis was 1.25 mm, in three-dimensions it was 1.35 mm. All targets were sampled successfully. The duration of a phantom biopsy was nine minutes. CONCLUSION: The use of an active marker can offer advantages for MR-guided breast biopsies in terms of handling and procedure time as well as accuracy.

Biomarkers↗

PubMed2005

Modality-integrated magnetic catheter tracking for x-ray vascular interventions.

A novel setup for the integration of a magnetic tracking system (MTS) into a catheter laboratory environment by attaching the field generator of the MTS to the C-arm of the x-ray system was investigated. The metal interference of the x-ray system with the MTS then becomes static and can be calibrated. The registration of a tracked catheter to 2D live x-ray images with high and well-defined accuracy is thus possible for arbitrary C-arm positions. Interference with imaging by blocking the field of view is avoided. Real-time registration methods to maintain the registration of the catheter also to static 2D or 3D images (roadmaps), regardless of the C-arm rotation during catheter tracking, were investigated. Residual registration errors of the tracked catheter with respect to the static roadmaps (2D and 3D) were reduced by using the vessel geometry and shape information. The algorithms potentially allow for motion correction (e.g. due to respiration). Using the shape-based correction algorithms the average registration accuracies to static roadmaps for different C-arm angulations and catheter positions were determined to be 3.3-4.2 mm. The magnetic registration of the C-arm was furthermore allowed to compute the imaging geometry (position of the C-arm) and to produce virtual angiographic preview images before contrast injection and x-ray dose application. Thus, optimal projection geometries and collimator settings for the target region can be chosen in an 'off line' fashion. The proposed MTS-supported navigation setup on both 3D (static) and 2D (live and static) roadmaps merges the high resolution and real-time feedback of 2D x-ray images with the navigation support from 3D static images.

Algorithms↗

PubMed2005

Motion compensated coronary interventional navigation by means of diaphragm tracking and elastic motion models.

Current catheter tracking in the x-ray catheter laboratory during coronary interventions is performed using 2D fluoroscopy. Although this features real-time navigation on high-resolution images, drawbacks such as overlap and foreshortening exist and hamper the diagnosis and treatment process. An alternative to fluoroscopy-based tracking is device tracking by means of a magnetic tracking system (MTS). Having measured the 3D location of the interventional device, its position can be reconstructed on 3D images or virtual roadmaps of the organ or vessel structure under examination. In this paper, a method is presented which compensates the interventional device location measured by the MTS for organ motion and thus registers it dynamically to a 3D virtual roadmap. The motion compensation is accomplished by using an elastic motion model which is driven by the ECG signal and a respiratory sensor signal derived from ultrasonic diaphragm tracking. The model is updated during the intervention itself, thus allowing for a local refinement in regions which bear a complex geometric structure, such as stenoses and bifurcations. The evaluation is done by means of a phantom-based study using a dynamic heart-phantom. The mean displacement caused by the overall motion of the heart is improved from 10.4+/-4.8 mm in the uncompensated case to 2.1+/-1.2 mm in the motion compensated case.

Algorithms↗

PubMed2005

Navigation with electromagnetic tracking for interventional radiology procedures: a feasibility study.

PURPOSE: To assess the feasibility of the use of preprocedural imaging for guide wire, catheter, and needle navigation with electromagnetic tracking in phantom and animal models. MATERIALS AND METHODS: An image-guided intervention software system was developed based on open-source software components. Catheters, needles, and guide wires were constructed with small position and orientation sensors in the tips. A tetrahedral-shaped weak electromagnetic field generator was placed in proximity to an abdominal vascular phantom or three pigs on the angiography table. Preprocedural computed tomographic (CT) images of the phantom or pig were loaded into custom-developed tracking, registration, navigation, and rendering software. Devices were manipulated within the phantom or pig with guidance from the previously acquired CT scan and simultaneous real-time angiography. Navigation within positron emission tomography (PET) and magnetic resonance (MR) volumetric datasets was also performed. External and endovascular fiducials were used for registration in the phantom, and registration error and tracking error were estimated. RESULTS: The CT scan position of the devices within phantoms and pigs was accurately determined during angiography and biopsy procedures, with manageable error for some applications. Preprocedural CT depicted the anatomy in the region of the devices with real-time position updating and minimal registration error and tracking error (<5 mm). PET can also be used with this system to guide percutaneous biopsies to the most metabolically active region of a tumor. CONCLUSIONS: Previously acquired CT, MR, or PET data can be accurately codisplayed during procedures with reconstructed imaging based on the position and orientation of catheters, guide wires, or needles. Multimodality interventions are feasible by allowing the real-time updated display of previously acquired functional or morphologic imaging during angiography, biopsy, and ablation.

Angiography↗

PubMed2004

Motion compensation for interventional navigation on 3D static roadmaps based on an affine model and gating.

Current cardiac interventions are performed under 2D fluoroscopy, which comes along with well-known burdens to patients and physicians, such as x-ray exposure and the use of contrast agent. Furthermore, the navigation on complex structures such as the coronaries is complicated by the use of 2D images in which the catheter position is only visible while the contrast agent is introduced. In this work, a new method is presented, which circumvents these drawbacks and enables the cardiac interventional navigation on motion-compensated 3D static roadmaps. For this, the catheter position is continuously reconstructed within a previously acquired 3D roadmap of the coronaries. The motion compensation makes use of an affine motion model for compensating the respiratory motion and compensates the motion due to cardiac contraction by gating the catheter position. In this process, only those positions which have been acquired during the rest phase of the heart are used for the reconstruction. The method necessitates the measurement of the catheter position, which is done by using a magnetic tracking system. Nevertheless, other techniques, such as image-based catheter tracking, can be applied. This motion compensation has been tested on a dynamic heart phantom. The evaluation shows that the algorithm can reconstruct the catheter position on the 3D static roadmap precisely with a residual motion of 1.0 mm and less.

Algorithms↗