Wyniki wyszukiwania - BazTech

Ograniczanie wyników

2 Biocybernetics and Biomedical Engineering

Znaleziono wyników: 2

Liczba wyników na stronie

Wyniki wyszukiwania

Sortuj według:

Ogranicz wyniki do:

Initial clinical evaluation of image fusion based on rigid registration and supporting percutaneous liver tumor ablation

Spinczyk Dominik, Stronczek Marcin, Badura Aleksandra, Sperka Piotr, Krywalska Dorota, Wolinska Anna, Krason Agata, Fabian Sylwester, Bas Mateusz, Woloshuk Andre, Zylkowski Jaroslaw, Rosiak Grzegorz, Konecki Dariusz, Milczarek Krzysztof, Rowinski Olgierd, Pietka Ewa

Biocybernetics and Biomedical Engineering

2020

Vol. 40, no. 4

1378--1390

Purpose: The purpose of this article is to present and evaluate a proposed rigid registration method in the application of real-time fusion of pre-operative 3DCT images and intraoperative 2DUS images. Methods: A universal hybrid automatic rigid registration method was proposed, which allows registration of preoperative contrast enhanced CT with intraoperative 2D ultrasound images (neither CEUS nor 3DUS is required), with the possibility of manual correction. The method is based on automatically detectable markers, clearly identified in preoperative CT images, and by optical position tracking system during the procedure. A two-step fusion accuracy assessment was used. The first stage, the initial fusion assessment, was carried out at the time of the procedure. The second, objective stage (the final fusion assessment) was carried out after the procedure, and was based on the image and location data collected during the procedure. The clinical evaluation of the method was performed on 20 patients. Results: For IFA and for Fusion Stability Assessment evaluation steps the following results were obtained, respectively: no fusion disorder: 10, good overlay: 8, permanently wrong fusion: 2 and no fusion disorders: 8, short-term fusion disorders: 9, frequent fusion disorders:3. The RMSE descriptive statistics (presenting order: median (first quartile third quartile) [min max]) was 8.87 (6.46 12.76) [5.04 18.84] mm.

Granular filter in medical image noise suppression and edge preservation

Wieclawek Wojciech, Pietka Ewa

Biocybernetics and Biomedical Engineering

2019

Vol. 39, no. 1

1--16

An alternative non-linear filtering technique for medical image denoising while preserving edge is introduced. Two different variants of the approach i.e. crisp and fuzzy are developed. The solution is demonstrated based on US breast images as well as CT studies and gave promising results in comparison with commonly known and popular filtering techniques (i.e. spatial averaging and median, bilateral filter, anisotropic diffusion). Many different measures were used to evaluate the method. There are pixel-to-pixel error measures, structural information factors and edge preservation measures. The benefits are noticeable in all three categories.