For each head CT image, we measured detection of low contrast mass lesions using a 2 Alternate Forced Choice (2-AFC) experimental paradigm. In an AFC experiment, an observer identifies the lesion location in one of two regions of interest. After performing 128 sequential observations, it is ...
To examine the added diagnostic value of emergent contrast enhanced CT head (CECTH) in patients who present to the emergency department (ED) with acute non-traumatic symptoms referable to the brain, and to assess the financial implications of CECTH in the emergent setting.We queried healthcare ...
CT headIntroduction To examine the added diagnostic value of emergent contrast enhanced CT head (CECTH) in patients who present to the emergency department (ED) with acute non-traumatic symptoms referable to the brain, and to assess the financial implications of CECTH in the emergent setting....
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The objective of this work was to evaluate the feasibility of a two-compartment distributed-parameter (DP) tracer kinetic model to generate functional images of several physiologic parameters from dynamic contrast-enhanced CT data obtained of patients with extracranial head and neck tumors and to compa...
Conclusion: Our AFC investigation has shown no evidence that use of Neuro Best Contrast to process head CT images improves detection of circular, low contrast lesions less than 10 mm. 展开 关键词: Algorithms Data analysis Image processing X-rays ...
A limitation of this study was the difficulty in defining the actual radiation exposure from each CT scan because of variations in equipment types, shape and size of the head, the use of contrast, protocols of scanning, and purpose of examina- tions, which were not available in the NHRI ...
AIM: To investigate the feasibility of noncontrast computed tomography (NcCT) and perfusion CT (PCT) in the assessment of head deceleration injury (HDI).: A small animal HDI device was developed. A total of 20 healthy adult with frontal impacts resulting from a 3.5 m drop were included in ...
In contrast-enhanced diagnostic CT scans of 74 patients with incident advanced HNSCC, manual slice-by-slice segmentation volumetry of primary tumor, total- and largest suspect cervical LN served as the reference method. In the same scans, maximum orthogonal diameters were measured using the distance...
This project aimed to develop and evaluate a fast and fully-automated deep-learning method applying convolutional neural networks with deep supervision (CNN-DS) for accurate hematoma segmentation and volume quantification in computed tomography (CT) scans. Non-contrast whole-head CT scans of 55 patien...