Robert Judd, PhD

IS
Investing in IT interoperability can extinguish radiologist burnout
Burnout is a pervasive problem in the medical field. But can better interoperability of imaging IT address this growing problem? Robert Judd, PhD, of Intelerad Medical Systems offers a perspective.
November 11, 2021
2021 09 24 22 14 2812 Doctor Burnout Outdoors 400
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Interventional
T1/T2-weighted MRgFUS ratio imaging improves brain lesion contrast
T1/T2-weighted ratio imaging via MRgFUS improves chronic lesion contrast compared to T2-weighted imaging.
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MRI
AI image reconstruction improves MRI's performance, patient experience
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Ultrasound
New breast ultrasound approach cuts false positives by nearly a third
Tracking and quantitative analysis of diaphragmatic motion and projected lung area (PLA) at dynamic chest radiography (DCR) in a 55-year-old healthy man during deep breathing. (A) Posteroanterior radiograph with purple and green lines indicating the right and left lateral diaphragm apices, respectively. (B) Graph of diaphragmatic motion (in millimeters; y-axis) over time (i.e., frame number; x-axis). The software tracked the position of the diaphragm apex at DCR to obtain these amplitude-time plots of diaphragmatic motion (right lung, purple; left lung, green). The dark blue line corresponds to the frame representing the end of inspiration; the light blue line corresponds to the frame representing the end of expiration. (C) Posteroanterior radiograph shows the PLA (outline), which is the area surrounded by the medial edge of the ribs, the diaphragm, and the edge of the mediastinum. (D) Graph of PLA (in millimeters squared; y-axis) over time (i.e., frame number; x-axis). The software automatically tracked the boundaries of the lung fields and obtained the time-varying curves of the bilateral lung field areas. The blue line corresponds to the frame representing the end of inspiration.
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Dynamic chest radiography effective for diagnosing COPD
Gadolinium
MRI
Study reports low NSF rates following GBCA administration
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Tracking and quantitative analysis of diaphragmatic motion and projected lung area (PLA) at dynamic chest radiography (DCR) in a 55-year-old healthy man during deep breathing. (A) Posteroanterior radiograph with purple and green lines indicating the right and left lateral diaphragm apices, respectively. (B) Graph of diaphragmatic motion (in millimeters; y-axis) over time (i.e., frame number; x-axis). The software tracked the position of the diaphragm apex at DCR to obtain these amplitude-time plots of diaphragmatic motion (right lung, purple; left lung, green). The dark blue line corresponds to the frame representing the end of inspiration; the light blue line corresponds to the frame representing the end of expiration. (C) Posteroanterior radiograph shows the PLA (outline), which is the area surrounded by the medial edge of the ribs, the diaphragm, and the edge of the mediastinum. (D) Graph of PLA (in millimeters squared; y-axis) over time (i.e., frame number; x-axis). The software automatically tracked the boundaries of the lung fields and obtained the time-varying curves of the bilateral lung field areas. The blue line corresponds to the frame representing the end of inspiration.
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