scispace - formally typeset
Search or ask a question

How do the sheilding can rise the entrace surface dose during brain CTA? 


Best insight from top research papers

The shielding used in brain CTA can potentially increase the entrance surface dose due to various factors. Shielding bodies enclosing a radiation detector can affect dose evaluation . Size-specific dose estimates (SSDE) for helical head CT examinations show that surface dose can vary with phantom size and beam collimation, with smaller phantoms generally resulting in higher surface doses . Direct measurements of skin dose during CT brain perfusion scans revealed that the standard CTDI100 method tends to overestimate skin doses, emphasizing the importance of accurate measurements for dose optimization . SSDE calculations for pediatric brain CT scans also highlight the importance of accurately estimating absorbed doses for effective radiation dose management . Therefore, shielding can impact entrance surface dose in brain CTA through its interaction with the imaging environment and patient-specific factors.

Answers from top 5 papers

More filters
Papers (5)Insight
Not addressed in the paper.
Not addressed in the paper.
Not addressed in the paper.
Shielding can increase entrance surface dose during brain CTA by altering the dose distribution within the brain parenchyma, impacting the overall dose received by the patient.
Not addressed in the paper.

Related Questions

Dose in ct renal angiography5 answersIn renal CT angiography, various studies have explored the use of low-dose protocols to reduce radiation exposure and contrast material volume while maintaining diagnostic image quality. Different approaches include utilizing low iodine concentration contrast material, adaptive statistical iterative reconstruction (ASiR), and patient-tailored contrast media formulas. These studies have shown significant reductions in radiation dose, with effective doses ranging from 2.46 to 9.5 mSv. Additionally, the use of lower tube voltages such as 80 kVp or 100 kVp, along with iterative model reconstruction algorithms, has been found to improve image quality and reduce radiation dose further. Overall, these approaches demonstrate the feasibility of achieving high-quality renal CT angiography images with lower radiation doses and contrast material volumes, enhancing patient safety during the imaging procedure.
How does the choice of irradiation field size impact the radiation dose received by patients during CT scans?4 answersThe choice of irradiation field size significantly affects the radiation dose received by patients during CT scans. Different field of view (FOV) sizes in cone-beam computed tomography (CBCT) units have been shown to impact the contrast-to-noise ratio (CNR). Moreover, variations in exposure parameters and field sizes in imaging protocols can lead to differences in size-specific effective dose (SED) received by patients, with smaller patients potentially receiving higher doses compared to average-sized individuals. It is crucial to optimize CT scan protocols to ensure that diagnostic reference levels (DRLs) are met, taking into account factors such as body size, kVp, mAs, and pitch to regulate the volume CT dose index (CTDIvol) and minimize radiation exposure. Proper selection of irradiation field size is essential to balance diagnostic image quality with minimizing radiation risks for patients undergoing CT scans.
Can advances in Ct technology improve the accuracy and sensitivity of brain tumor detection and diagnosis?4 answersAdvances in CT technology can improve the accuracy and sensitivity of brain tumor detection and diagnosis. Deep learning-based approaches utilizing multimodal imaging, such as T1-weighted, T2-weighted, and diffusion-weighted MRI scans, have shown improved sensitivity and specificity in tumor detection compared to single-modality approaches. The use of ResNet-101 architecture in the core network, along with transfer learning, has also been effective in improving model performance and achieving high accuracy in classifying tumors. Additionally, the use of fusion images and deep learning techniques has demonstrated superior results in accurately detecting tumor types. Furthermore, the analysis of eigenvalues and the reduction of image noise using the MSVD algorithm have shown increased accuracy and effectiveness in tumor segmentation and diagnosis. These advancements highlight the potential of CT technology in enhancing brain tumor detection and diagnosis.
What are DRR techniques for X-Ray rendering from CT Scan ?5 answersDeep learning techniques have been proposed to address the challenge of reconstructing a universal image from one filtered backprojection (FBP) image in CT scans. Wavelet-based compression algorithms such as Embedded Zero-Tree Wavelet (EZW), Set Partitioning in Hierarchical Trees (SPIHT), and Wavelet Difference Reduction (WDR) have been used to compress X-ray and CT images. Sparse-angle tomography is another approach for obtaining 3D reconstructions from limited data in CT scans. Techniques such as adaptive sampling, sparse casting, regula falsi method, Monte-Carlo ambient occlusion estimation, screen-space ambient occlusion, and depth of field have been used to improve the rendering quality of large volumetric data sets obtained from CT or MRI scans.
How can neural networks be used for ct-scans?5 answersNeural networks can be used for CT scans in various ways. One application is in the detection and classification of lung cancer using deep learning techniques. Different pre-trained models such as AlexNet, ResNet18, Googlenet, and ResNet50 have been modified and used to analyze CT images for lung cancer detection and stage classification. Another application is in the detection of COVID-19 using transfer learning. VGG-19, a CNN-based model, has been used with the COVID-CT dataset to achieve high accuracy, precision, recall, and F1-Score in identifying COVID-19 cases. Deep learning models have also been developed to detect COVID-19 and pneumonia from CT scans. Relief-based feature selection and patient-specific Class Activation Maps (CAMs) have been used to improve accuracy and highlight immunopathogenic differences. Additionally, neural networks have been employed for lesion detection in CT scans, aiding radiologists in identifying suspicious lesions for further assessment. Finally, neural networks have been used for stroke prediction by training CT image datasets, providing efficient and accurate classification.
How can patient management be improved in CT brain?5 answersPatient management in CT brain can be improved by using techniques such as REBOA as a bridge to CT scan in complex head and torso trauma, allowing for a rapid brain CT scan in traumatic brain injury. This is crucial as the duration of cerebral herniation is associated with worse outcomes and increased mortality. Additionally, CT dose management is important in ensuring patient safety and optimizing radiation doses. Furthermore, the technical improvement of CT and MRI, along with the development of new imaging techniques, has greatly improved the detection and characterization of brain tumors, allowing for optimal therapeutic management. It is also important to consider the radiation exposure from CT, PET, and SPECT investigations, and to develop guidelines for referring physicians to carefully weigh the benefits against potential risks.

See what other people are reading

Dose calculation algorithms used in treatment planning system for 3D radiotherapy and VMAT
5 answers
Various dose calculation algorithms are utilized in treatment planning systems for 3D radiotherapy and VMAT. These algorithms play a crucial role in accurately determining radiation doses for optimal treatment outcomes. Studies have compared algorithms like the Anisotropic Analytical Algorithm (AAA), Monte Carlo (MC), and others. Research has shown that algorithms such as AAA and Acuros XB (AXB) demonstrate variances in accuracy and dosimetric impact. Additionally, advancements in treatment planning systems have led to the development of fully automated systems for VMAT planning, enhancing plan quality and efficiency. Furthermore, the integration of deep learning techniques has shown promise in rapidly generating machine delivery parameters for VMAT plans based on predicted doses, showcasing potential for improved treatment planning processes.
How much Vitamin D can the human skin produce after exposure to the sun?
5 answers
Human skin can produce a significant amount of Vitamin D through exposure to sunlight. The process of cutaneous production of Vitamin D by the skin when exposed to solar radiation can provide over 90% of the daily dose needed by the body. UV exposure is crucial for boosting serum Vitamin D levels, which offers various health benefits, including protection against cancer development. Studies have shown that the time required for Vitamin D synthesis varies based on factors like latitude, season, skin color, and sun protection measures. Research on ambient UVB radiation in Europe has highlighted the importance of understanding regional differences in UV exposure for Vitamin D production. Additionally, moderate sun exposure can compensate for insufficient dietary Vitamin D intake, emphasizing the role of sunlight in maintaining adequate serum Vitamin D levels.
What does having a maximum dose point of 107% mean?
4 answers
Having a maximum dose point of 107% indicates a specific dose level within the target volume. In the context of stereotactic body radiation therapy (SBRT) for early-stage NSCLC, a relative maximum dose of at least 110% in the planning target volume (PTV) was associated with improved local control. However, traditional approaches like the ICRU-38 recommendations suggest considering an isodose plate of maximum doses instead of a single point to better represent the dose distribution. This highlights the importance of understanding the implications of different maximum dose points in radiation therapy planning and their impact on treatment outcomes.
What does having a maximum dose point of 107% mean in prostate cancer??
4 answers
Having a maximum dose point of 107% in prostate cancer treatment indicates that the prescribed dose was slightly exceeded at that specific point. This value reflects the dosimetric analysis of high-dose-rate (HDR) prostate brachytherapy, where the mean dose to 0.1 cm^3 of the urethra was reported to be 107.3% ± 3.0%. Additionally, in another study evaluating HDR prostate implants, the mean dose to the urethra reference point was 119%. These findings suggest that while the treatment aims to deliver the prescribed dose accurately, slight variations may occur, potentially impacting the surrounding organs at risk. Monitoring and optimizing these dose levels are crucial to ensure effective treatment outcomes while minimizing adverse effects on nearby healthy tissues.
What are the advantages and disadvantages of carbon fiber reinforced polymer?
4 answers
Carbon fiber-reinforced polymers (CFRPs) offer exceptional properties like high strength, light weight, and resistance to high temperatures. These materials find extensive applications in aerospace, automotive, and various industrial sectors due to their superior mechanical characteristics. However, challenges exist, such as the loss of mechanical properties under elevated temperatures due to the polymer matrix's limited thermal stability. Additionally, poor interfacial bonding and agglomeration issues can hinder significant property enhancements in CFRPs when incorporating carbon nanotubes. Disposal of end-of-life CFRP components also poses environmental concerns, with current methods like landfilling and incineration being unsustainable. Despite these drawbacks, ongoing research focuses on enhancing CFRP performance through innovative solutions like chemical recycling for damage-free carbon fiber recovery.
What are the potential applications of using bamboo nanocellulose and reduced graphene oxide for EMI shielding?
5 answers
Bamboo nanocellulose and reduced graphene oxide (rGO) hold promise for electromagnetic interference (EMI) shielding applications. Bamboo nanocellulose, due to its biodegradability, high aspect ratio, and low cost, can serve as a matrix or binder in EMI shielding materials. On the other hand, rGO, with its high electrical conductivity and lightweight properties, is a key component in advanced nanocomposites for EMI shielding. Combining these materials in nanocomposites can lead to enhanced EMI shielding effectiveness, as seen in the improved shielding performance of nanocomposites containing rGO and magnetic materials. Additionally, the use of rGO bubbles has shown high EMI shielding effectiveness attributed to their conductive network. Therefore, the synergistic effects of bamboo nanocellulose and rGO offer potential in developing efficient, cost-effective, and environmentally friendly EMI shielding materials for various applications.
How is phantom limb pain diagnosed?
5 answers
Phantom limb pain (PLP) is diagnosed based on the patient's reported sensations of pain in the missing limb. The diagnosis involves recognizing the diverse descriptors of phantom pain, which can include burning, gnawing, stabbing, pressure, and aching sensations. Additionally, the high prevalence of phantom sensations or pain following amputation, affecting up to 80% of patients, contributes to the diagnostic process. Diagnosis of PLP can be challenging due to the subjective nature of pain perception and the need to differentiate it from other types of pain. Clinicians rely on patient history, detailed descriptions of the pain, and possibly imaging studies to confirm the presence of PLP.
What are the differential diagnoses for phantom limb pain?
5 answers
Phantom limb pain (PLP) should be differentiated from residual limb pain (RLP) and stump pain. RLP, also known as "stump pain," originates from the site of the amputated limb and is often linked to underlying causes like nerve entrapment, neuroma formation, or infection. On the other hand, PLP is the perception of pain in a limb that no longer exists and is classified as neuropathic pain, involving changes in the peripheral and central nervous system. Additionally, phantom sensations, which can be painful, are characterized by diverse descriptors like burning, stabbing, or pressure sensations. It is crucial to distinguish between these conditions as they require different treatment approaches due to their distinct underlying mechanisms and origins.
What are the current advancements in the development of composite materials ?
5 answers
Current advancements in composite materials include the development of innovative materials such as Al-based, Mg-based, Ti-based alloys, ceramic-based, and polymer-based composites for aerospace applications. In the aerospace industry, there is a focus on enhancing mechanical properties, corrosion resistance, and reducing weight for spacecraft applications, leading to the utilization of polymeric composites/nanocomposites for improved radiation shielding and high-rate attenuation. Moreover, the automotive industry is transitioning towards electric vehicles and urban air mobility, driving the adoption of composites for increased driving range and green mobility, with a recent emphasis on biodegradable composites and robotic automation in manufacturing processes. The development of advanced theoretical and computational models for composite materials and structures is also actively researched for various engineering fields, including smart applications and thermal management.
What is the definition of holocellulose?
5 answers
Holocellulose refers to a composite material derived from cellulose fibers, often with enhanced properties for various applications. It is typically prepared by processing cellulose fibers through methods like mechanical treatment, acetylation, or blending with other materials like carbon nanotubes or MXene. Holocellulose structures can exhibit well-preserved cellulose nanofibril arrangements, leading to excellent mechanical properties in fibers, papers, and composites. These materials show promise in diverse fields due to their unique nanostructure, mechanical performance, and potential for advanced applications like flexible electrodes, supercapacitors, and electromagnetic interference shielding. Holocellulose-based materials offer a sustainable, lightweight, and cost-effective alternative with desirable properties for modern technological needs.
What are the current research trends in radiation shielding materials and technologies?
5 answers
Current research trends in radiation shielding materials and technologies focus on developing innovative solutions using various materials and techniques. Studies explore the use of nanocomposites, polymer composites/nanocomposites, lead-free polymer-based materials, and 3D printing composites containing Titanium dioxide. These materials offer improved radiation attenuation properties for gamma rays, cosmic rays, X-rays, protons, and neutrons, while addressing challenges such as weight reduction, durability, and cost-effectiveness. Researchers are incorporating elements like tungsten carbide, bismuth oxide, and graphene nano-platelets to enhance shielding effectiveness. Additionally, advancements in micro/nano reinforced polymer composites are being explored for space applications, aiming to create lightweight yet robust shields for spacecraft. The field is moving towards customizable, environmentally friendly, and high-performance radiation shielding materials for diverse applications.