Limitations of hybrid imaging devices

***Please read it thoroughly and let me know if it’s doable for you. Kindly avoid placing a bid in just a second without fully reviewing it.*** 
i have a presentation, with the subject: ‘’ Limitations of hybrid imaging devices (e.g., by attenuation correction) —> Discuss potential effects from auxiliary imaging (e.g., CT or MRI) on image quality in nuclear medicine hybrid applications (SPECT or PET). In this context typical effects are artefacts from attenuation correction and the influence by specific modality specific artefacts (e.g. metal artefacts or susceptibility artifacts in MRI) on image reconstruction. Please notice, the effects by motion should not be analyzed by this subject.’’ The whole presentation is 1 hour long, and this part, as I have divided it into 3 sections, is the remaining portion:


CT Artifacts * Metal Artifacts: * Causes: Orthopedic implants, dental fillings. * Impact: Streak artifacts on CT, affecting PET/SPECT attenuation correction. * Beam-Hardening Artifacts: * Causes: Dense tissues or materials (bones). * Effect: Distortion of attenuation correction maps. * Motion Artifacts (Briefly, 1 min): —> because of whats written and the end of the subject * Impact: Blurred images and misaligned CT-PET maps. Impact on SPECT/PET Image Quality * Attenuation correction errors propagate into PET/SPECT reconstructions. * Case studies: * Artifacts mimicking pathology (false positives/negatives). * Quantitative inaccuracies in SUVs (Standardized Uptake Values). Mitigation Strategies * Dual-energy CT to reduce metal artifacts. * Software corrections: Iterative metal artifact reduction (iMAR). * Optimized CT acquisition protocols. 

and please notice that :

I need a scientific PowerPoint presentation with 10-15 slides (excluding the first and last slides, as I will add them to the main PowerPoint later).
Also a written text seperately (speaker note) for each slide which totally 15-20 min lasts.

 No full preparation from AI is needed—getting help is fine, but the AI should not handle everything entirely. 

The content should be based on the lecture material I provided and must be plagiarism-free.

 The PowerPoint should not contain too much text; instead, include visuals such as images, tables, videos and statistics wherever available.

 You are free to use any references, but please ensure all references are cited properly for both the text and the images or data used


 Here are more details: 
CT Artefacts 1. Metal Artefacts * Causes: * Orthopedic implants, dental fillings, and other high-density materials. * Impact: * Streak artefacts on CT images, leading to distortion of attenuation correction maps in PET/SPECT. * Clinical significance: These artefacts can mimic or obscure pathology. * Example: * Include a clinical CT image showing streak artefacts from a hip implant. 2. Beam-Hardening Artefacts * Causes: * Dense tissues or materials like bones and contrast agents. * Effect: * Distorted attenuation correction maps that propagate errors into PET/SPECT reconstructions. * Example: * Visualize with a case where dense bone regions (e.g., skull base) caused quantification inaccuracies in PET. 3. Motion Artefacts (Briefly, 1 minute) * Impact: * Blurred CT images and misaligned attenuation maps in hybrid imaging (like CT-PET maps). * Mention briefly since motion is addressed by another group. Impact on SPECT/PET Image Quality 1. Propagation of Attenuation Correction Errors * PET/SPECT reconstructions inherit distortions, leading to: * False Positives/Negatives: Artefacts mimicking pathology or obscuring true findings. * Quantitative Inaccuracies: Errors in SUVs (Standardized Uptake Values) can affect clinical decision-making. 2. Case Studies: * Example 1: Streak artefacts from dental fillings resembling focal uptake in PET. * Example 2: Beam-hardening artefacts misrepresenting SUV values in dense anatomical regions. Mitigation Strategies 1. Hardware Solutions: * Dual-Energy CT: Reduces beam-hardening and metal artefacts by differentiating material densities. * Optimized CT Acquisition Protocols: Adjusting parameters like voltage and filtration. 2. Software Corrections: * Iterative Metal Artefact Reduction (iMAR): Advanced reconstruction algorithms to minimize artefacts. * AI-Based Reconstruction: Emerging methods using machine learning to predict and correct artefacts. 3. Limitations of Mitigation Strategies: * Acknowledge that no single method fully eliminates artefacts. * Emphasize ongoing advancements and combined approaches for improvement. 
 Structure and Flow * Start with the description of artefacts and their causes. * Gradually transition into discussing their impacts on image quality, supported by clinical examples. * Conclude with a discussion on mitigation strategies and their effectiveness, tying back to the artefacts previously discussed. Visual Aids and Supplementary Materials * Include clinical CT images demonstrating: * Streak artefacts caused by metal implants. * Beam-hardening artefacts in dense anatomical regions. * Use a flowchart or diagram to visually connect artefacts → their impacts → mitigation strategies.