Autor: Król, Ż - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: An adaptive stochastic optimization method for medical registration problem
Autorzy:: Król, Z.
Powiązania:: https://bibliotekanauki.pl/articles/333559.pdf
Data publikacji:: 2004
Wydawca:: Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:: registration
matching
optimization
simulated annealing
similarity measure
non-deterministic methods
cooling schedule
tomographic data
rejestracja
optymalizacja
wyżarzanie
miara podobieństwa
metody niedeterministyczne
chłodzenie
dane tomograficzne
Opis:: This paper presents a methodology that addresses important issues concerned with the optimization of the misregistration measures in the volumetric medical data registration problem. Our registration framework uses robust simulated annealing method to handle multiple local minima of the cost function. Our efforts have been centred on obtaining a reliable, efficient and generally applicable method to solve such optimization problems. This has been accomplished through developing an adaptive cooling schedule for the simulated annealing method. The proposed method is very reliable for the estimation of the global minimum in the optimization of objective functions with highly differentiated search space landscapes. We present the detailed description of the method as well as discussion of its advantages and disadvantages.
Źródło:: Journal of Medical Informatics & Technologies; 2004, 7; MIP79-88
1642-6037
Pojawia się w:: Journal of Medical Informatics & Technologies
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Automatic alignment of intramodal tomographic data using s-distance approach
Autorzy:: Król, Z.
Powiązania:: https://bibliotekanauki.pl/articles/334027.pdf
Data publikacji:: 2003
Wydawca:: Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:: rejestracja
podobieństwo pomiaru
topografia obszaru przeszukiwania
registration
similarity measure
s-distance
cross-metric
intramodality data
search space topography
Opis:: The alignment of volumetric datasets is an important problem in the processing of medical data. It is a prerequisite to numerous image based applications in diagnostic and therapeutic routines. In this paper, a new method is proposed for matching of 3D intramodality medical images. Our approach is based on some generalization of feature distance definition. Analogous to the standard surface matching, our algorithm uses also the chamfer distance like metric to define the quality of match function, however, the evaluation of the distance map is performed in a different way. The s-distance method is a step towards an automatic extraction of features, where each feature’s role in the registration process is weighted based on its relative statistical or spatial significance. As an alternative to the user-dependent non-automatic registration methods this approach offers a good assessment of similarity in the intramodality case. The elimination of less significant features in the registration process has resulted in a greatly improved efficiency over the voxel-based methods. Studying certain properties of the search space topography provides some insights into the performance of the proposed method as well as the standard registration algorithms in the rigid body registration problem.
Źródło:: Journal of Medical Informatics & Technologies; 2003, 6; IT3-11
1642-6037
Pojawia się w:: Journal of Medical Informatics & Technologies
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Registration approaches for the optimisation of medical diagnostics and treatment
Autorzy:: Chlebiej, M.
Król, Z.
Mikołajczak, P.
Powiązania:: https://bibliotekanauki.pl/articles/333859.pdf
Data publikacji:: 2005
Wydawca:: Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:: rejestracja
planowanie operacji
diagnostyka wspomagana komputerowo
elastyczna rejestracja
skaner laserowy
registration
surgery planning
graft design
computer-aided diagnostics
elastic registration
laser scanner
surface data quality improvement
Opis:: Many medical diagnostics and treatment procedures in the oncology, cranio-maxillofacial surgery, radiotherapy and neurosurgery deal with volumetric as well as surface data. Tumor detection or generation of the virtual treatment scene involves using complementary data sets that are obtained from different sensors, for example MR and CT data, or by the same sensor at different epochs. The very need for registration arises from the fact that the complementary data sets are acquired by imaging devices using different spatial coordinate systems or/and the anatomically correct superposition of two data instances cannot be performed without locally applied elastic transformation. The volume or surface matching is therefore an essential task in these applications. From the mathematical point of view the data aligning problem is an optimization task, which can be solved by using deterministic or non-deterministic optimization algorithms. Depending on the data size and the complexity of required matching transformation the runtime behaviour of the registration methods can stretch out between real-time and many hours' computations. In this paper various applications of the same registration paradigm are presented and discussed. The wide spectrum of the medical applications shows the importance of the registration approach for the optimization of medical diagnostics and treatment.
Źródło:: Journal of Medical Informatics & Technologies; 2005, 9; 57-64
1642-6037
Pojawia się w:: Journal of Medical Informatics & Technologies
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: Numerical treatment of registration problem in generation of patient-specific anatomical models
Autorzy:: Chlebiej, M.
Król, Z.
Mikołajczak, P.
Powiązania:: https://bibliotekanauki.pl/articles/334013.pdf
Data publikacji:: 2003
Wydawca:: Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:: rejestracja
metody optymalizacji
wizualizacja
wirtualne fantomy specyficzne dla pacjentów
registration
optimization methods
visualization
virtual patient-specific anatomical models
Visible Human Project dataset
Opis:: Registration is an important component of many medical data processing applications. Particularly significant is its role in the correlation of volumetric medical data aiming at generation of virtual patient-specific anatomical models. Such models enable optimization of various diagnostic and therapeutical procedures. The importance of the virtual patient models is becoming increasingly recognized in modern medicine. The advantages of using such biomedical virtual models are analogous to the advantages of real system behavior simulation in the engineering or material sciences. In this work some numerical issues associated with the registration problem and the visualization challenges arising in the context of virtual anatomical models have been presented and discussed.
Źródło:: Journal of Medical Informatics & Technologies; 2003, 6; IT13-20
1642-6037
Pojawia się w:: Journal of Medical Informatics & Technologies
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 5.

Tytuł:: Visible Human Projects - a step towards the virtual patient: models and simulations
Autorzy:: Król, Z.
Chlebiej, M.
Mikołajczak, P.
Hoffmann, K.-H.
Powiązania:: https://bibliotekanauki.pl/articles/333562.pdf
Data publikacji:: 2004
Wydawca:: Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:: segmentacja
rejestracja
modele funkcyjne
symulacja biomechaniczna
wirtualne fantomy specyficzne dla pacjentów
segmentation
registration
Visible Human Project
functional models
biomechanical simulation
virtual patient-specific anatomical models
Opis:: This paper reports on our experiences using datasets from the Visible Human Project in different biomedical applications. Introduced 1994 by the US National Library of Medicine the digitized multimodal anatomical datasets of the Visible Man have challenged the worldwide scientific community. A significant response to this challenge from several interdisciplinary research teams has emerged as a new area of research. This area requires close interaction and collaboration among anatomists, radiologists, computer scientists, mathematicians, engineers and physicians. The digitized volumetric images of the human body have been applied not only for the computer-aided exploration of the human gross anatomy, but also as structural input for the therapy planning and simulation systems. The importance of such virtual patient model is becoming increasingly recognized in modern medicine. To effectively use these specific datasets a sophisticated framework consisting of image processing, computer graphics and mathematical modelling methods is required. In this work various aspects of the developed framework are presented and discussed. Some preliminary results of our biomedical simulations are presented.
Źródło:: Journal of Medical Informatics & Technologies; 2004, 7; MIP51-58
1642-6037
Pojawia się w:: Journal of Medical Informatics & Technologies
Dostawca treści:: Biblioteka Nauki

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