Attention incorporated network for sharing low-rank, image and k-space information during MR image reconstruction to achieve single breath-hold cardiac Cine imaging.

Cardiac Cine Magnetic Resonance Imaging (MRI) provides an accurate assessment of heart morphology and function in clinical practice. However, MRI requires long acquisition times, with recent deep learning-based methods showing great promise to accelerate imaging and enhance reconstruction quality. Existing networks exhibit some common limitations that constrain further acceleration possibilities, including single-domain learning, reliance on a single regularization term, and equal feature contribution.

Attention-Aware Non-Rigid Image Registration for Accelerated MR Imaging.

Accurate motion estimation at high acceleration factors enables rapid motion-compensated reconstruction in Magnetic Resonance Imaging (MRI) without compromising the diagnostic image quality. In this work, we introduce an attention-aware deep learning-based framework that can perform non-rigid pairwise registration for fully sampled and accelerated MRI. We extract local visual representations to build similarity maps between the registered image pairs at multiple resolution levels and additionally leverage long-range contextual information using a transformer-based module to alleviate ambiguities in the presence of artifacts caused by undersampling.

Fast 5-minute shoulder MRI protocol with accelerated TSE-sequences and deep learning image reconstruction for the assessment of shoulder pain at 1.5 and 3 Tesla.

Purpose: The objective of this study was to implement a 5-minute MRI protocol for the shoulder in routine clinical practice consisting of accelerated 2D turbo spin echo (TSE) sequences with deep learning (DL) reconstruction at 1.5 and 3 Tesla, and to compare the image quality and diagnostic performance to that of a standard 2D TSE protocol.

Methods: Patients undergoing shoulder MRI between October 2020 and June 2021 were prospectively enrolled.

Image Quality and Diagnostic Performance of Accelerated 2D Hip MRI with Deep Learning Reconstruction Based on a Deep Iterative Hierarchical Network.

Objectives: Hip MRI using standard multiplanar sequences requires long scan times. Accelerating MRI is accompanied by reduced image quality. This study aimed to compare standard two-dimensional (2D) turbo spin echo (TSE) sequences with accelerated 2D TSE sequences with deep learning (DL) reconstruction (TSE) for routine clinical hip MRI at 1.

Faster Elbow MRI with Deep Learning Reconstruction-Assessment of Image Quality, Diagnostic Confidence, and Anatomy Visualization Compared to Standard Imaging.

Objective: The objective of this study was to evaluate a deep learning (DL) reconstruction for turbo spin echo (TSE) sequences of the elbow regarding image quality and visualization of anatomy.

Materials And Methods: Between October 2020 and June 2021, seventeen participants (eight patients, nine healthy subjects; mean age: 43 ± 16 (20-70) years, eight men) were prospectively included in this study. Each patient underwent two examinations: standard MRI, including TSE sequences reconstructed with a generalized autocalibrating partial parallel acquisition reconstruction (TSE), and prospectively undersampled TSE sequences reconstructed with a DL reconstruction (TSE).

Shortening Acquisition Time and Improving Image Quality for Pelvic MRI Using Deep Learning Reconstruction for Diffusion-Weighted Imaging at 1.5 T.

Rationale And Objectives: To determine the impact on acquisition time reduction and image quality of a deep learning (DL) reconstruction for accelerated diffusion-weighted imaging (DWI) of the pelvis at 1.5 T compared to standard DWI.

Materials And Methods: A total of 55 patients (mean age, 61 ± 13 years; range, 27-89; 20 men, 35 women) were consecutively included in this retrospective, monocentric study between February and November 2022.

Accelerated diffusion-weighted imaging of the prostate using deep learning image reconstruction: A retrospective comparison with standard diffusion-weighted imaging.

Purpose: Routine multiparametric MRI of the prostate reduces overtreatment and increases sensitivity in the diagnosis of the most common solid cancer in men. However, the capacity of MRI systems is limited. Here we investigate the ability of deep learning image reconstruction to accelerate time consuming diffusion-weighted imaging (DWI) acquisition while maintaining diagnostic image quality.

Combined Deep Learning-based Super-Resolution and Partial Fourier Reconstruction for Gradient Echo Sequences in Abdominal MRI at 3 Tesla: Shortening Breath-Hold Time and Improving Image Sharpness and Lesion Conspicuity.

Rationale And Objectives: To investigate the impact of a prototypical deep learning-based super-resolution reconstruction algorithm tailored to partial Fourier acquisitions on acquisition time and image quality for abdominal T1-weighted volume-interpolated breath-hold examination (VIBE) at 3 Tesla. The standard T1-weighted images were used as the reference standard (VIBE).

Materials And Methods: Patients with diverse abdominal pathologies, who underwent a clinically indicated contrast-enhanced abdominal VIBE magnetic resonance imaging at 3T between March and June 2021 were retrospectively included.

Quantifying the qualitative: exploring epistemic network analysis as a method to study work system interactions.

Studying interactions faces methodological challenges and existing methods, such as configural diagramming, have limitations. This work demonstrates Epistemic Network Analysis (ENA) as an analytical method to construct configural diagrams. We demonstrated ENA as an analytical tool by applying this method to study dementia caregiver work systems.

Exploring how caregivers for people living with dementia use strategies to overcome work system constraints.

Informal caregivers for persons living with dementia (PLWD) require interventions that incorporate caregiving context. We used the Patient Work System model to characterize caregiving context by identifying work system constraints experienced by caregivers during dementia care events (e.g.

Clinical Evaluation of an Abbreviated Contrast-Enhanced Whole-Body MRI for Oncologic Follow-Up Imaging.

Over the last decades, overall survival for most cancer types has increased due to earlier diagnosis and more effective treatments. Simultaneously, whole-body MRI-(WB-MRI) has gained importance as a radiation free staging alternative to computed tomography. The aim of this study was to evaluate the diagnostic confidence and reproducibility of a novel abbreviated 20-min WB-MRI for oncologic follow-up imaging in patients with melanoma.

Diagnostic Confidence and Feasibility of a Deep Learning Accelerated HASTE Sequence of the Abdomen in a Single Breath-Hold.

Objective: The aim of this study was to evaluate the feasibility of a single breath-hold fast half-Fourier single-shot turbo spin echo (HASTE) sequence using a deep learning reconstruction (HASTEDL) for T2-weighted magnetic resonance imaging of the abdomen as compared with 2 standard T2-weighted imaging sequences (HASTE and BLADE).

Materials And Methods: Sixty-six patients who underwent 1.5-T liver magnetic resonance imaging were included in this monocentric, retrospective study.

Conceptualizing caregiving activities for persons with dementia (PwD) through a patient work lens.

Informal caregivers are an integral part of care delivery for persons with dementia (PwD). Informal caregivers take part in a wide range of care activities both individually and collaboratively with other caregivers. Caregiving often involves high demands in the face of limited resources, which can lead to stress, burden, and burnout.

Performance of an Automated Workflow for Magnetic Resonance Imaging of the Prostate: Comparison With a Manual Workflow.

Objectives: The aim of this study was to evaluate the performance of an automated workflow for multiparametric magnetic resonance imaging (mpMRI) of the prostate compared with a manual mpMRI workflow.

Materials And Methods: This retrospective study was approved by the local ethics committee. Two MR technicians scanned 2 healthy volunteers with a prototypical highly automated workflow (Siemens Healthineers GmbH, Erlangen, Germany) and with a manually adjusted scan protocol each.

A sequential framework for image change detection.

We present a sequential framework for change detection. This framework allows us to use multiple images from reference and mission passes of a scene of interest in order to improve detection performance. It includes a change statistic that is easily updated when additional data becomes available.

[Prevalence of abnormal mucosal findings in patients in HNO practices].

Objective: To date, no secondary prevention program is in place for patients carrying an increased risk for developing head and neck cancer (HNSCC). In terms of successful, long-term curative therapy and increased quality of life, it would be useful to detect such diseases at an early stage.

Patients And Methods: A total of 370 patients with at least one risk factor such as "smoking", "alcohol", or "reflux disease" and without any symptoms were examined during a 1-year period using standard HNO methods (e.

[Consensus statement "Dementia 2010" of the Austrian Alzheimer Society].

The Austrian Alzheimer Society developed evidence-based guidelines based on a systematic literature search and criteria-guided assessment with subsequent transparent determination of grades of clinical recommendation. The authors evaluated currently available therapeutic approaches for the most common forms of dementia and focused on diagnosis and pharmacological intervention, taking into consideration the situation in Austria. The purpose of these guidelines is the rational and cost-effective use of diagnostic and therapeutic measures in dementing illnesses.

Cognitive impairment: assessment with brain magnetic resonance imaging and proton magnetic resonance spectroscopy.

Background: In vivo proton magnetic resonance spectroscopy is a safe and noninvasive tool that can be used to study aspects of brain chemistry and metabolism. This study was designed to evaluate its role in routine application to reveal the diagnostic reasons for cognitive impairment.

Method: 37 Alzheimer's disease patients (NINCDS-ADRDA criteria), 31 patients with subcortical ischemic vascular dementia (Chui et al.

Pharmacological treatment strategies of residential primary care providers in dementia diseases--results of a representative survey in western Austria.

Objective: The goal of this study was to investigate pharmacological treatment strategies used by residential primary care providers for patients with dementia.

Methods: A postal questionnaire survey was sent to all residential primary care providers, internists, neurologists and psychiatrists (n = 689) in the western region of Austria.

Results: The response rate (53 %) was similar in all four physician groups.

Zotepine in the treatment of acute hospitalized schizophrenic episodes.

The atypical antipsychotic zotepine was studied in an open, multicentre uncontrolled, post-marketing surveillance study in 108 schizophrenic patients hospitalized in 12 trial centres in Austria. Within the dosage range of 50-450 mg (mean at the end of the study, 207 +/- 125 mg/day), a significant reduction of positive as well as negative symptoms was noted. There was no increase in extrapyramidal side-effects during the study and a significant decrease in akathisia scores.

[Management and treatment of elderly psychiatric patients by the general practitioner].

About one third of all elderly people suffer from psychosocial disturbances reducing their well-being, ability or independence. Those disturbances can be mitigated more often than expected by medical treatment, psychotherapy or other therapies. In this field it is above all the general practitioner who has to be engaged as gate keeper and case manager.

[Follow-up of schizophrenic patients hospitalized for the first time in 1954 and treated with electroconvulsive therapy].

37 of 43 patients who had been hospitalised because of schizophrenia for the first time in 1954 and subjected to electroconvulsive treatment in the same year, were reexamined 30 years later in respect of course of the disease, social situation, psychopathological pattern and late complications. Whereas in 1954 the direct treatment result was assessed as full remission in 11 cases, as part remission in 16 and as not improved in 10 patients, a similar pattern was obtained in the assessment of the final stages according to the criteria of Bleuler or Ciompi, respectively, namely, a high proportion of socially inconspicuous patients and of severe residual states or permanently hospitalised cases. This result is in agreement with wellknown long-term follow-up studies and is clearly opposed to the assumption that the course of the disease is favourably influenced by drastic shock treatment.

Bacterial, viral, and fungal insecticides.

Microorganisms that are pathogenic to insects provide a wealth of biological material that can be exploited by humans to control insect pests. Innovative applications of a few such entomopathogens are found throughout the world, but widespread commercial production of microbial insecticides awaits further studies of the biology, ecology, and pathogenicity of the agents. Genetic engineering techniques may be used to increase the virulence of these microorganisms, as well as to make them more tolerant of physical and chemical conditions and perhaps to broaden their host ranges.