Improving Your Image - Mastering Digital Radiography

Nov 14th, 2012Nov 15th, 2012
Houston, TX
US
http://store.aheconline.com/DisplayDetail.aspx?pid=7246
Phone:800-239-1361
This course provides a thorough understanding of CR and DR technology, exposure techniques and an introduction into working with PACS, RIS, and more.
Latest in Home
F-18 PI-2620 average binding potential maps. Mean tracer binding (DVR) image from 165 older adults (A) and 13 young adults (B). Images are scaled from 1 to 1.8 for display purposes, but DVR values of less than 1 were frequently observed.
Tau PET tracer flags early Alzheimer risk in healthy older adults
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Top eight incorrectly classified synthetic images (Most convincing fake images). Images A, B, C, D, E, F, G and H were the most infrequently correctly classified images at 24%, 43%, 59%, 64%, 69%, 71%, 71% and 73% respectively. All images are AI-generated. Images A, B and C are head CTs. Images D and E are chest CTs. Image F is a cardiac CT. Image G is a musculoskeletal MRI. Image H is a head MRI. Images are republished under a Creative Commons license (CC BY 4.0).
Radiologists can identify three out of four AI-generated images
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Women's Imaging MinnieCast, Episode 13: Partial breast irradiation in the spotlight
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Annual and cumulative FDA authorizations of AI/ML-enabled medical devices, 1995–2025.
Radiology dominates thirty years of FDA AI device approvals
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Tau PET tracer flags early Alzheimer risk in healthy older adults
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Few studies have investigated how F-18 PI-2620 is associated with memory performance or AD-related biomarkers in cognitively unimpaired older adults.
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F-18 PI-2620 average binding potential maps. Mean tracer binding (DVR) image from 165 older adults (A) and 13 young adults (B). Images are scaled from 1 to 1.8 for display purposes, but DVR values of less than 1 were frequently observed.
Radiologists can identify three out of four AI-generated images
By Amerigo Allegretto
Radiologists found it particularly difficult to distinguish between real and AI-generated CT and MR images.
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Top eight incorrectly classified synthetic images (Most convincing fake images). Images A, B, C, D, E, F, G and H were the most infrequently correctly classified images at 24%, 43%, 59%, 64%, 69%, 71%, 71% and 73% respectively. All images are AI-generated. Images A, B and C are head CTs. Images D and E are chest CTs. Image F is a cardiac CT. Image G is a musculoskeletal MRI. Image H is a head MRI. Images are republished under a Creative Commons license (CC BY 4.0).
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Two committee members for ASTRO's PBI guidelines share insights about this breast cancer treatment option.
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Radiology dominates thirty years of FDA AI device approvals
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The total annual authorization volume increased from a mean of 1.8 per year between 1995 and 2014 to 264 per year between 2023 and 2025.
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Annual and cumulative FDA authorizations of AI/ML-enabled medical devices, 1995–2025.
Petition seeks to increase number of attempts for taking ARRT exam
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The petition has received over 10,000 signatures as of July 16.
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The bill includes provisions affecting imaging appropriate use criteria (AUC), the Medicare conversion factor, and the Quality Payment Program (QPP).
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2027 MPFS proposed rule would lift radiology reimbursement
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If finalized, the proposed rule is expected to hike reimbursement by 2% for radiology, 2% for nuclear medicine, 3% for interventional radiology, and 3% for radiation oncology.
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MRI could replace DRE for prostate cancer staging
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MRI showed comparable performance to DRE in prostate cancer staging without compromising patient outcomes.
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Radiofrequency (RF)-induced burns prompt recommendations to MRI manufacturers.
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Incorrect AI suggestions influence reader performance on mammography
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The biggest impact on reader performance stemmed from false-negative AI suggestions.
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A normal mammogram confirmed by three-year radiologic follow-up illustrates reader-marked regions of interest (ROIs) during (A) unaided (round 1) and (B) artificial intelligence (AI)–assisted (round 2) reading. Each colored dot represents an ROI for recall by a human reader. Readers could mark more than one ROI per case, represented by multiple dots of the same color. During AI-assisted reading, the AI system displayed three visible prompts: two with suspicion of malignancy scores of 35% (left mediolateral oblique [L MLO] and craniocaudal [L CC]) and one with a suspicion of malignancy score of 10% (right craniocaudal [R CC]), shown as polygonal overlays. Without AI, six of 10 readers (60%) marked a false-positive ROI. With AI assistance, this fell to two of 10 (20%). R MLO = right mediolateral oblique.
Podcast: MRI tragedy, key aspects of the Colombini family's lawsuit
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Inside the Michael Colombini case, Gilk and Posh continue retrospective analysis.
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Brain PET scans reveal neuron loss in long COVID
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The findings suggest that treatments aimed at boosting dopamine release could be repurposed to treat long COVID.
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Representative participant from each group shown. C-11 DTBZ non-displaceable binding potential (BPND) in voxels quantitated with simplified reference tissue model 2. Color scale indicates C-11 DTBZ BPND from 0 (black) to 3.5 (red), with reduced C-11 DTBZ BPND observed in the long COVID case compared to both healthy controls.
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