Advanced Visualization: Page 94

Road to RSNA 2018: Advanced Visualization Preview

The integration of advanced visualization tools into healthcare has grown exponentially in recent years. At RSNA 2018, researchers will describe the various clinical applications of tools such as virtual and augmented reality, 3D printing, and cinematic rendering in dozens of workshops, presentations, and refresher courses.

November 5, 2018

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AR 'smart glasses' facilitate interventional procedures

Thursday, November 29 | 12:45 p.m.-1:15 p.m. | VI266-SD-THB1 | Lakeside, VI Community, Station 1A group from the U.S. National Institutes of Health has developed a technique that uses augmented reality (AR) technology to display virtual images of internal lesions directly on a patient during interventional radiology procedures.

November 5, 2018

4D MRI quantifies blood flow after bypass surgery

Thursday, November 29 | 11:40 a.m.-11:50 a.m. | SSQ16-08 | Room S504ABResearchers from Japan will discuss the viability of evaluating the recovery status of patients after bypass surgery by quantifying their blood flow using 4D MRI.

November 5, 2018

3D CT improves precision of cheekbone reconstruction

Thursday, November 29 | 11:10 a.m.-11:20 a.m. | SSQ15-05 | Room S503ABAssessing the symmetry of cheekbones using 3D CT technology may help improve the precision of maxillofacial reconstructive surgery, according to this Thursday presentation.

November 5, 2018

AR may replace fluoroscopy for CT-guided spinal surgery

Wednesday, November 28 | 3:50 p.m.-4:00 p.m. | SSM13-06 | Room E353CIn this session, researchers from Washington, DC, will describe how they used an augmented reality (AR) device as an alternative to fluoroscopy for image-guided spinal procedures.

November 5, 2018

3D printing, AR promote patient education

Wednesday, November 28 | 3:30 p.m.-3:40 p.m. | SSM13-04 | Room E353CPatients with cancer may better understand their disease and treatment options by examining personalized 3D models made with 3D printing or augmented reality (AR) technology, according to this Wednesday presentation.

November 5, 2018

Deep learning accelerates segmentation for 3D printing

Wednesday, November 28 | 3:20 p.m.-3:30 p.m. | SSM13-03 | Room E353CA group from South Korea has developed a deep-learning algorithm that can automate image segmentation for the 3D printing of kidney models, which may ultimately speed up their production.

November 5, 2018

3D printing reduces operating time for fracture repair

Wednesday, November 28 | 3:10 p.m.-3:20 p.m. | SSM13-02 | Room E353CIn this Wednesday presentation, Swiss researchers will detail how they were able to lower surgical times for repairing orbital wall fractures with 3D-printed models based on CT scans of the skull.

November 5, 2018

3D-printed coronary phantoms help assess blood flow

Wednesday, November 28 | 3:00 p.m.-3:10 p.m. | SSM13-01 | Room E353CResearchers from New York used coronary CT angiography (CCTA) scans to create 3D-printed phantoms of the coronary tree that replicate the anatomy and blood flow of real arteries in patients with coronary artery disease.

November 5, 2018

3D printing improves speed, accuracy of aortic repair

Wednesday, November 28 | 12:45 p.m.-1:15 p.m. | IN228-SD-WEB4 | Lakeside, IN Community, Station 4Using patient-specific 3D-printed models to plan for open surgical repair of the aorta may boost the procedure's accuracy and shorten operating time, according to this presentation being delivered on Wednesday.

November 5, 2018

3D-printed skull bone enables simulation of ear surgery

Wednesday, November 28 | 12:15 p.m.-12:45 p.m. | IN224-SD-WEA5 | Lakeside, IN Community, Station 5U.S. researchers explore the feasibility and potential benefits of simulating cortical mastoidectomy with 3D-printed models of a skull bone in this poster presentation.

November 5, 2018

AI boosts efficiency of analyzing 4D brain CTA scans

Tuesday, November 27 | 12:15 p.m.-12:45 p.m. | NR397-SD-TUA7 | Lakeside, NR Community, Station 7Researchers from the Netherlands have developed an artificial intelligence (AI) algorithm capable of segmenting brain vasculature on 4D CT angiography (CTA) scans, according to this Tuesday poster presentation.

November 5, 2018

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