News | Neuro Imaging | June 13, 2018

American Society of Neuroradiology Honors Peter Chang with Cornelius G. Dyke Memorial Award

Chang demonstrates deep learning tool is accurate in detection and quantification of hemorrhage on non-contrast CT

American Society of Neuroradiology Honors Peter Chang with Cornelius G. Dyke Memorial Award

June 13, 2018 – Peter Chang, M.D., current neuroradiology fellow at UCSF and recently recruited co-director of the UCI Center for Artificial Intelligence in Diagnostic Medicine (CAIDM), is the honorary recipient of the Cornelius G. Dyke Memorial Award. The award was given by the American Society of Neuroradiology (ASNR) for Chang’s work in developing a customized deep learning system with over 97 percent accuracy in near real-time detection of hemorrhage on non-contrast computed tomography (NCCT) exam of the head.

The research, which was sponsored by Canon Medical Systems USA Inc., involved algorithm development on over 10,000 NCCT studies and included both detection and quantification of intraparenchymal, epidural/subdural and subarachnoid hemorrhages. Co-investigator Daniel Chow, who will join Chang as co-director at the CAIDM, explained that a tool such as this “may be implemented either as a triage system to assist radiologists in identifying high-priority exams for interpretation and/or as a method for rapid quantification of ICH volume, overall expediting triage of patient care and offering more detailed information to guide clinical decision making.”

“I am deeply honored to receive this prestigious award from the American Society of Neuroradiology,” said Chang. “I appreciate the support of my research team and those involved in helping advance the research of convolutional neural networks for medical image recognition.”

The award, presented at ASNR’s 56th Annual Meeting, June 2-7 in Vancouver, was established to honor Cornelius G. Dyke, one of the pioneers in neuroradiology. It is given to an assistant professor, fellow or resident for excellence as demonstrated in a paper, which represents original, unpublished research in some aspect of neuroradiology. The award entails an honorarium and invitation to present the work at the 56th Annual Meeting in 2018.

For more information: www.us.medical.canon

Related Content

The interior of the German air force Airbus A-310 Medivac in Cologne, Germany, before its departure to Bergamo, Italy, March 28 to being ferrying COVID-19 patients to Germany for treatment to aid the Italians, whose healthcare system has been overwhelmed by the rapid spread of the coronavirus pandemic. Bundeswehr Photo by Kevin Schrief.

The interior of the German air force Airbus A-310 Medivac in Cologne, Germany, before its departure to Bergamo, Italy, March 28 to being ferrying COVID-19 patients to Germany for treatment to aid the Italians, whose healthcare system has been overwhelmed by the rapid spread of the coronavirus pandemic. Bundeswehr Photo by Kevin Schrief. Find more images from the COVID-19 pandemic.

 

Feature | Coronavirus (COVID-19) | April 08, 2020 | By Melinda Taschetta-Millane and Dave Fornell
In an effort to keep the imaging field updated on the latest information being released on coronavirus (COVID-19), th
#COVID19 #Coronavirus #2019nCoV #Wuhanvirus #SARScov2  The first of three clinical scenarios presented to the panel with final recommendations. Mild features refer to absence of significant pulmonary dysfunction or damage. Pre-test probability is based upon background prevalence of disease and may be further modified by individual’s exposure risk. The absence of resource constraints corresponds to sufficient availability of personnel, personal protective equipment, COVID-19 testing, hospital beds, and/or ve

 The first of three clinical scenarios presented to the panel with final recommendations. Mild features refer to absence of significant pulmonary dysfunction or damage. Pre-test probability is based upon background prevalence of disease and may be further modified by individual’s exposure risk. The absence of resource constraints corresponds to sufficient availability of personnel, personal protective equipment, COVID-19 testing, hospital beds, and/or ventilators with the need to rapidly triage patients. Contextual detail and considerations for imaging with CXR (chest radiography) versus CT (computed tomography) are presented in the text. (Pos=positive, Neg=negative, Mod=moderate). [Although not covered by this scenario and not shown in the figure, in the presence of significant resources constraints, there is no role for imaging of patients with mild features of COVID-19.] Image courtesy of the journal Radiology

News | Coronavirus (COVID-19) | April 07, 2020
April 7, 2020 — A multinational consens...
#COVID19 #Coronavirus #2019nCoV #Wuhanvirus #SARScov2 Chest CT findings of pediatric patients with COVID-19 on transaxial images. (a) Male, 2 months old, 2 days after symptom onset. Patchy ground-glass opacities GGO in the right lower lobe

Chest CT findings of pediatric patients with COVID-19 on transaxial images. Male, 2 months old, 2 days after symptom onset. Patchy ground-glass opacities GGO in the right lower lobe. Image courtesy of Radiology: Cardiothoracic Imaging

News | Coronavirus (COVID-19) | April 06, 2020
April 6, 2020 — Children and teenagers with COVID-19...
A recent study earlier this year in the journal Nature, which included researchers from Google Health London, demonstrated that artificial intelligence (AI) technology outperformed radiologists in diagnosing breast cancer on mammograms
Feature | Breast Imaging | April 06, 2020 | By Samir Parikh
A recent study earlier this year in the journal Nature,
#COVID19 #Coronavirus #2019nCoV #Wuhanvirus #SARScov2 Sonogram taken under rib cage shows liver (grey) with curved diaphragm-lung border (white). Arrows point to vertical B lines (white) demonstrating diseased lung tissue. The more B lines the worse the disease. Healing is measured by reduction in the number of B lines.

Sonogram taken under rib cage shows liver (grey) with curved diaphragm-lung border (white). Arrows point to vertical B lines (white) demonstrating diseased lung tissue. The more B lines the worse the disease. Healing is measured by reduction in the number of B lines.

News | Coronavirus (COVID-19) | April 06, 2020
April 6, 2020 — Robert L.
Varian received FDA clearance for its Ethos therapy in February 2020. It is an adaptive intelligence solution that uses onboard AI in the treatment system to take the cone beam CT imaging on the system, compare it to the treatment plan and deliver an entire adaptive treatment plan in a typical 15-minute treatment time slot, from patient setup through treatment delivery.

Varian received FDA clearance for its Ethos therapy in February 2020, shown here displayed for the first time at ASTRO 2019. It is an adaptive intelligence solution that uses onboard AI in the treatment system to take the cone beam CT imaging on the system, compare it to the treatment plan and deliver an entire adaptive treatment plan in a typical 15-minute treatment time slot, from patient setup through treatment delivery.

Feature | Treatment Planning | April 03, 2020 | Dave Fornell, Editor
The traditional treatment planning process takes days to create an optimized radiation therapy delivery plan, but new
Recommended best practices for nuclear imaging departments under the COVIF-19 pandemic have been issues by the ASNC and SNMMI. #COVID19 #ASNC #SNMMI #Coronavirus #SARScov2
News | Coronavirus (COVID-19) | April 03, 2020
April 3, 2020 — A new guidance document on best practices to maintain safety and minimize contamination in nuclear im