Registration of brain tumor images using hyper-elastic regularization

In this paper, we present a method to estimate a deformation field between two instances of a brain volume having tumor. The novelties include the assessment of the disease progress by observing the healthy tissue deformation and usage of the Neo-Hookean strain energy density model as a regularizer in deformable registration framework. Implementations on synthetic and patient data provide promising results, which might have relevant use in clinical problems

Cellular automata segmentation of brain tumors on post contrast MR images

In this paper, we re-examine the cellular automata(CA) al- gorithm to show that the result of its state evolution converges to that of the shortest path algorithm. We proposed a complete tumor segmenta- tion method on post contrast T1 MR images, which standardizes the VOI and seed selection, uses CA transition rules adapted to the problem and evolves a level set surface on CA states to impose spatial smoothness. Val- idation studies on 13 clinical and 5 synthetic brain tumors demonstrated the proposed algorithm outperforms graph cut and grow cut algorithms in all cases with a lower sensitivity to initialization and tumor type

On the Selection of Tuning Methodology of FOPID Controllers for the Control of Higher Order Processes

In this paper, a comparative study is done on the time and frequency domain tuning strategies for fractional order (FO) PID controllers to handle higher order processes. A new fractional order template for reduced parameter modeling of stable minimum/non-minimum phase higher order processes is introduced and its advantage in frequency domain tuning of FOPID controllers is also presented. The time domain optimal tuning of FOPID controllers have also been carried out to handle these higher order processes by performing optimization with various integral performance indices. The paper highlights on the practical control system implementation issues like flexibility of online autotuning, reduced control signal and actuator size, capability of measurement noise filtration, load disturbance suppression, robustness against parameter uncertainties etc. in light of the above tuning methodologies.Comment: 27 pages, 10 figure

Oddity in nonrelativistic, strong gravity

We consider the presence of odd powers of the speed of light $c$ in the covariant nonrelativistic expansion of General Relativity (GR). The term of order $c$ in the relativistic metric is a vector potential that contributes at leading order in this expansion and describes strong gravitational effects outside the (post-)Newtonian regime. The nonrelativistic theory of the leading order potentials contains the full non-linear dynamics of the stationary sector of GR.Comment: 24 pages + appendices. Version accepted for publication by EPJC. Subsection 4.4 on possible phenomenological applications adde

A generative approach for image-based modeling of tumor growth

22nd International Conference, IPMI 2011, Kloster Irsee, Germany, July 3-8, 2011. ProceedingsExtensive imaging is routinely used in brain tumor patients to monitor the state of the disease and to evaluate therapeutic options. A large number of multi-modal and multi-temporal image volumes is acquired in standard clinical cases, requiring new approaches for comprehensive integration of information from different image sources and different time points. In this work we propose a joint generative model of tumor growth and of image observation that naturally handles multi-modal and longitudinal data. We use the model for analyzing imaging data in patients with glioma. The tumor growth model is based on a reaction-diffusion framework. Model personalization relies only on a forward model for the growth process and on image likelihood. We take advantage of an adaptive sparse grid approximation for efficient inference via Markov Chain Monte Carlo sampling. The approach can be used for integrating information from different multi-modal imaging protocols and can easily be adapted to other tumor growth models.German Academy of Sciences Leopoldina (Fellowship Programme LPDS 2009-10)Academy of Finland (133611)National Institutes of Health (U.S.) (NIBIB NAMIC U54-EB005149)National Institutes of Health (U.S.) (NCRR NAC P41- RR13218)National Institutes of Health (U.S.) (NINDS R01-NS051826)National Institutes of Health (U.S.) (NIH R01-NS052585)National Institutes of Health (U.S.) (NIH R01-EB006758)National Institutes of Health (U.S.) (NIH R01-EB009051)National Institutes of Health (U.S.) (NIH P41-RR014075)National Science Foundation (U.S.) (CAREER Award 0642971

Controller design for integrating processes with Coefficient Diagram Method

Bu çalışmanın amacı, transfer fonksiyonunda integratör bulunan zaman gecikmeli sistemlerin kontrolünde klasik PID kontrolörlerin sınırlılıklarını göstermektir. Bu nedenle, bu tür sistemler için daha iyi bir davranış elde etmek amacıyla Katsayı Diyagram Metodu (KDM) olarak adlandırılan bir polinomsal yaklaşımın kullanılması önerilmiştir. KDM ile kontrolör tasarımı eşdeğer zaman sabiti, kararlılık indeksi ve karalılık sınır indeksi gibi uygun davranış kriterlerine karşı kapalı çevrim sisteminin karakteristik polinomunun katsayılarını seçmeye dayalıdır. Yapılan tasarım örneği KDM’in hem referans basamak girişin takibi ve hem de bozucu işaretin söndürülmesi için davranışta önemli bir iyileşme sağladığını göstermiştir. Ayrıca kontrol en kısa yerleşme süresini ve parametre değişimlerine karşı en dayanıklı davranışı sağlamıştır. Anahtar Kelimeler: Katsayı Diyagram Metodu, zaman gecikmesi, integratörlü sistemler, dayanıklılık.The objective of this paper is to illustrate the limitations of classical PID controllers in controlling time delay systems with integrating transfer functions. Generally, the control of integrating processes is more difficult than the classical stable open-loop processes. Especially, integrating processes existing time delay make difficult the control operation. Numerous PID strategies have been proposed for these systems recently. Therefore, using a polynomial approach, Coefficient Diagram Method (CDM) has been proposed in order to obtain a better performance for these systems. The controller design by CDM is based on the choice of the coefficients of the characteristic polynomial of the closed loop system according to the convenient performance criteria such as equivalent time constant, stability index, and stability limit index. The studies on this method illustrated that the CDM provides a significantly improved performance both for the reference step input tracking and for the disturbance rejection. Also the control system provides the smallest settling time and the most robust performance to the parameter changes. An example are presented for an integrating process with time delay to illustrate the effectiveness of the proposed method and compared it with existing ones. It is shown that CDM design is more stable and robust whilst giving the desired time domain performance.Keywords: Coefficient Diagram Method, time delay, integrating processes, robustness

Bis(acetato-κO)bis­[2-(pyridin-2-yl)ethanol-κ2 N,O]copper(II)

The title compound, [Cu(CH3COO)2(C7H9NO)2], is a monomeric complex with an octa­hedral geometry. The CuII atom is located on an inversion center and is coordinated by acetate and 2-(pyridin-2-yl)ethanol ligands. The acetate group is coordinated in a monodentate manner, while the 2-(pyridin-2-yl)ethanol is coordinated as a bidentate ligand involving the endocyclic N atom and the hy­droxy O atom of the ligand side chain. An intra­molecular hydrogen bond is observed between the hy­droxy O atom and the non-coordinated acetate O atom. No classical inter­molecular hydrogen-bond contacts were observed. However, the crystal packing is effected by C—H⋯O inter­actions, which link the mononuclear entities into layers parallel to the bc plane

EFFECTS OF ORTHODONTIC ADHESIVE MATERIALS ON S. MUTANS AND LACTOBACILLI LEVELS IN HUMAN SALIVA

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