Examination of Facial Convexity and Concavity Values With Reference to the External Acoustic Pore: A Retrospective Study.

The human skull serves as an essential material for facial reconstruction. In particular, the petrous part of the temporal bone is vital due to its compact structure, which can resist mechanical forces. The study aims to give descriptive values to estimate the face shape and produce regression formulas through the external acoustic pore as a reference point.

Estimating the Person-Specific Location of Pterion Based on Cranial Morphometry.

Objective: Due to being the weakest sutural junction of the crania and relations with intracranial anatomical structures, the accurate location of the pterion is important for surgical approaches such as in pterional craniotomy. The aim of the study was to develop regression equations to estimate the person-specific accurate location of the pterion based on the cranial morphometry.

Materials And Methods: The study was conducted on 22 pterions located 11 dry skulls belonging to Anatomy Department of the Harran University, Medical Faculty.

Morphology of the ligaments located on the medial side of the ankle and on the plantar surface of the foot.

To have biodynamic features, the feet have bones located in a special posture, the joints that keep together those bones, the ligaments that provide linkage to those joints, and tendons of muscles particularly which end the foot. This study aimed to research the morphology of the medial side and plantar ligaments. The study was conducted on a total of 30 feet belonging to 2 women and 13 men cadavers that exist at the Anatomy Department of the Medical Faculty of Uludag University.

Discovery of sulfadrug-pyrrole conjugates as carbonic anhydrase and acetylcholinesterase inhibitors.

Human carbonic anhydrase (hCA) isoenzymes are zinc ion-containing, widespread metalloenzymes and they classically play a role in pH homeostasis maintenance. CA inhibitors suppress the CA activity and their usage has been clinically established as antiglaucoma agents, antiepileptics, diuretics, and in some other disorders. Alzheimer's disease (AD) is a slowly progressive neurodegenerative disorder and a fatal disease of the brain.

Digitalization in education during the COVID-19 pandemic: emergency distance anatomy education.

Purpose: During the COVID-19 pandemic, the distance education method started to be applied to prevent the interruption of education in universities. Anatomy education given to students who will serve in the field of health has also been transferred to the online method in this digitization process. The aim of the study was to evaluate the emergency distance anatomy education by taking the feedback of the students of the health services vocational school and to make changes and regulations that will increase the quality of education.

Evaluating the Anatomical Traits of Lip on Three-Dimensional Computed Tomography Images.

Background: Lips and mouth are the most recognizable parts of the lower face. The morphometry of the facial organs is important for the balance of the face. Besides congenital anomalies occur on the lips, some kinds of deformities might be seen because of trauma or carcinoma.

Morphometric Features of External Opening of the Carotid Canal and Relationship With Some Neighboring Formations on the Skull Base.

The carotid canal must be taken into account during the surgical procedures since it contains the petrous segment of internal carotid artery. For this reason, we aimed to reveal the morphometric relationship of the carotid canal with related structures. The study was carried out with 11 parameters determined on a total of 52 sex unknown temporal bones belonging to the collection of Bursa Uludag University Faculty of Medicine, Anatomy Department.

The Surface and Intracranial Location of Asterion.

Background: Asterion is identified as the connection point of sutura parietomastoidea, sutura occipitomastoidea, and sutura lambdoidea. The location of asterion, which is primarily preferred as a landmark during posterolateral surgical approach for intracranial operations, shows many variables. The aim of this study was to identify the surface location of the asterion and determine the distances between intracranial anatomical structures and asterion.

Cost Evaluation of Inhaler Therapies Used in Respiratory Diseases: 1998--2015 Period in Turkey.

Background: With the rise in life expectancy, the burden of chronic diseases, including obstructive pulmonary diseases, has increased throughout the world.

Objectives: To evaluate the sales trends of inhaler pharmaceuticals.

Methods: The changes in box sales and sales amounts (in Turkish lira) of inhaler pharmaceuticals during the period 1998 to 2015 were examined and sales were projected for the next 3 years.

Variational Bayesian causal connectivity analysis for fMRI.

The ability to accurately estimate effective connectivity among brain regions from neuroimaging data could help answering many open questions in neuroscience. We propose a method which uses causality to obtain a measure of effective connectivity from fMRI data. The method uses a vector autoregressive model for the latent variables describing neuronal activity in combination with a linear observation model based on a convolution with a hemodynamic response function.

ACCELERATING CARDIOVASCULAR IMAGING BY EXPLOITING REGIONAL LOW-RANK STRUCTURE VIA GROUP SPARSITY.

Sparse sampling of (, )-space has proved useful for cardiac MRI. This paper builds on previous work on using partial separability (PS) and spatial-spectral sparsity for high-quality image reconstruction from highly undersampled (, )-space data. This new method uses a more flexible control over the PS-induced low-rank constraint via group-sparse regularization.

Denoising diffusion-weighted magnitude MR images using rank and edge constraints.

Purpose: To improve signal-to-noise ratio for diffusion-weighted magnetic resonance images.

Methods: A new method is proposed for denoising diffusion-weighted magnitude images. The proposed method formulates the denoising problem as an maximum a posteriori} estimation problem based on Rician/noncentral χ likelihood models, incorporating an edge prior and a low-rank model.

Compressive light field sensing.

We propose a novel design for light field image acquisition based on compressive sensing principles. By placing a randomly coded mask at the aperture of a camera, incoherent measurements of the light passing through different parts of the lens are encoded in the captured images. Each captured image is a random linear combination of different angular views of a scene.

Visualizing Escherichia coli sub-cellular structure using sparse deconvolution Spatial Light Interference Tomography.

Studying the 3D sub-cellular structure of living cells is essential to our understanding of biological function. However, tomographic imaging of live cells is challenging mainly because they are transparent, i.e.

Reference-guided sparsifying transform design for compressive sensing MRI.

Compressive sensing (CS) MRI aims to accurately reconstruct images from undersampled k-space data. Most CS methods employ analytical sparsifying transforms such as total-variation and wavelets to model the unknown image and constrain the solution space during reconstruction. Recently, nonparametric dictionary-based methods for CS-MRI reconstruction have shown significant improvements over the classical methods.

Cell imaging beyond the diffraction limit using sparse deconvolution spatial light interference microscopy.

We present an imaging method, dSLIM, that combines a novel deconvolution algorithm with spatial light interference microscopy (SLIM), to achieve 2.3x resolution enhancement with respect to the diffraction limit. By exploiting the sparsity of the phase images, which is prominent in many biological imaging applications, and modeling of the image formation via complex fields, the very fine structures can be recovered which were blurred by the optics.

Bayesian symmetrical EEG/fMRI fusion with spatially adaptive priors.

In this paper, we propose a novel symmetrical EEG/fMRI fusion method which combines EEG and fMRI by means of a common generative model. We use a total variation (TV) prior to model the spatial distribution of the cortical current responses and hemodynamic response functions, and utilize spatially adaptive temporal priors to model their temporal shapes. The spatial adaptivity of the prior model allows for adaptation to the local characteristics of the estimated responses and leads to high estimation performance for the cortical current distribution and the hemodynamic response functions.

Variational bayesian super resolution.

In this paper, we address the super resolution (SR) problem from a set of degraded low resolution (LR) images to obtain a high resolution (HR) image. Accurate estimation of the sub-pixel motion between the LR images significantly affects the performance of the reconstructed HR image. In this paper, we propose novel super resolution methods where the HR image and the motion parameters are estimated simultaneously.