By Erik L. Ridley, AuntMinnie staff writer
November 11, 2013

You won't have to search very long to find educational opportunities for advanced visualization technology at RSNA 2013, which will feature a broad range of scientific presentations, posters, exhibits, and refresher courses on image processing, computer-aided detection (CAD), and quantitative imaging topics.

Also look for a variety of research exploring 3D and image processing matters, as well as new application areas for CAD.

Quantitative imaging, in particular, will be omnipresent at McCormick Place. In addition to an extensive list of quantitative imaging presentations sprinkled liberally throughout the scientific sessions, meeting planners have included, for example, a plethora of refresher courses (see below), and a hot topic session on liver MR quantification techniques on Thursday, December 5, from 3:00 p.m. to 4:00 p.m. (SPSH52, Room E350).

Another topic that bears watching is 3D printing, which involves producing 3D physical models based on 3D images. Several presentations explore potential radiology applications for this hot consumer technology that could make the jump into medical imaging.

Of course, mobile computing devices remain a key area of focus, as reflected by the return of a multisession course to the schedule for Monday, December 2 (8:30 a.m.-12:00 p.m., VSIN21, Room S404CD). For our coverage of mobile devices, please see our Road to RSNA 2013 PACS Preview.

Refresher courses

Plenty of advanced visualization-related refresher/informatics courses will be offered at RSNA 2013, beginning on Sunday, December 1, with a hands-on workshop from 11:00 a.m. to 12:30 p.m. on the 3D Slicer open-source image analysis software and quantitative medical imaging (ICIA11, Room S401CD).

Look for a number of advanced visualization-oriented posters in the Sunday physics posters and exhibit session (LL-PHS-SUB, Lakeside Learning Center) from 12:45 p.m. to 1:15 p.m., as well as the informatics posters and exhibits session at 1:00 p.m. to 1:30 p.m. (LL-INS-SUB, Lakeside Learning Center). Also, a refresher course on the current and future practice of quantitative imaging in radiology and clinical trials (RC125, Room S104A) will run from 2:00 p.m. to 3:30 p.m.

On Monday, December 2, from 8:30 a.m. to 10:00 a.m., attendees can get an update on quantitative imaging for diffuse lung disease assessment using CT (RC225, Room N229). A refresher course will be held from 10:30 a.m. to 12:00 p.m. on the MriStudio software for white-matter mapping and quantitative image analysis (ICIA21, Room S401CD). Advanced imaging techniques will be presented as part of a practical informatics for radiologists refresher course produced in collaboration with the Society for Imaging Informatics in Medicine (SIIM) from 12:30 p.m. to 2:00 p.m. (ICII22, Room S501ABC).

Advanced visualization posters also figure prominently in a physics posters and exhibition session from 12:45 p.m. to 1:15 p.m. (LL-PHS-MOB, Lakeside Learning Center). A course on 3D printing will run from 2:30 p.m. to 4:00 p.m. (ICII23, Room S501ABC).

Quantitative imaging will be an area of focus for refresher course opportunities on Tuesday, December 3. A course on quantitative imaging for functional MRI will be held from 8:30 a.m. to 10:00 a.m. (RC325, Room E353A), while another course presented in partnership with SIIM will run concurrently on the topic of Quantitative Imaging: A Revolution in Evolution (RC326, Room N229).

Advanced visualization research will be well-represented in a Tuesday physics posters and exhibits session from 12:15 p.m. to 12:45 p.m. (LL-PHS-TUA, Lakeside Learning Center). You might also want to stick around for the advanced visualization presentations in an informatics posters and exhibits session from 12:45 p.m. to 1:15 p.m. (LL-INS-TUB, Lakeside Learning Center), and another physics posters and exhibits session at the same time (LL-PHS-TUB, Lakeside Learning Center).

A course on the 3D Slicer open-source image analysis software for radiology applications is scheduled for 12:30 p.m. to 2:00 p.m. (ICIA32, Room S401CD). Those still lingering at McCormick Place in the late afternoon on Tuesday can take in a refresher course on quantitative CT and MR perfusion imaging (RC417, Room S504CD) from 4:30 p.m. to 6:00 p.m. and also a quantitative imaging course on dynamic contrast-enhanced MRI (RC425, Room S404AB).

Early risers on Wednesday, December 4, can sit in on a refresher course on quantitative imaging in FDG-PET from 8:30 a.m. to 10:00 a.m. (RC525, Room S102AB). Later, attendees can browse more advanced visualization posters, presented in an informatics posters and exhibits session (LL-INS-WEA, Lakeside Learning Center) and a physics posters and exhibits session (LL-PHS-WEA, Lakeside Learning Center), both from 12:15 p.m. to 12:45 p.m.

Virtualization and remote rendering will be discussed in a primer for radiologists on cloud computing (RC630, Room S403B) on Thursday, December 5, from 8:30 a.m. to 10:00 a.m. A refresher course on quantitative imaging for volumetric CT as a biomarker of disease also will run from 8:30 a.m. to 10:00 a.m. (RC625, Room N226).

Still more advanced visualization posters await Thursday visitors from 12:15 p.m. to 12:45 p.m. in informatics (LL-INS-THA, Lakeside Learning Center) and physics (LL-PHS-THA, Lakeside Learning Center). An additional informatics posters and exhibits session will be held from 12:45 p.m. to 1:15 p.m. (LL-INS-THB, Lakeside Learning Center).

The practical utilization of 3D CT techniques in cancer imaging will be discussed Thursday afternoon from 4:30 p.m. to 6:00 p.m. in a refresher course on advances in cross-sectional oncologic imaging (RC718, Room S402AB). At the same time, another refresher course will delve into the informatics of quantitative imaging (RC725, Room E352). A hands-on workshop for advanced image analysis also is slated for 4:30 p.m. to 6:00 p.m. (RC753, Room S401CD), as well as on Friday, December 6, from 8:30 a.m. to 10:00 a.m. (RC853, Room S401CD).

Two more quantitative imaging refresher courses are scheduled for Friday from 8:30 a.m. to 10:00 a.m. on the current status of techniques for quantitative cancer imaging (RC818, Room S404CD) and quantitative imaging in ultrasound (RC825, Room E263).

See below for previews of advanced visualization-related scientific presentations at this year's RSNA meeting. To view the RSNA's listing of abstracts for this year's scientific and educational program, click here.

Scientific and Educational Presentations
CAD may improve detection of ureter cancer
Sunday, December 1 | 10:55 a.m.-11:05 a.m. | SSA19-02 | Room S403B
This scientific session will explore the potential of computer-aided detection (CAD) technology to help radiologists find ureter cancer.
Algorithm automatically calculates prognostic metric for PE
Sunday, December 1 | 11:15 a.m.-11:25 a.m. | SSA19-04 | Room S403B
In this presentation, researchers will share how their software algorithm can automatically calculate the right-ventricle/left-ventricle diameter ratio, a predictor of mortality in patients with severe pulmonary embolism (PE).
Iterative reconstruction algorithm aids lung CAD
Sunday, December 1 | 11:45 a.m.-11:55 a.m. | SSA19-07 | Room S403B
Japanese researchers will discuss in this Sunday session how an iterative reconstruction technique can improve the performance of computer-aided detection (CAD) for finding lung nodules across a range of different CT dose levels.
CAD shows promise for detecting colitis on CT
Sunday, December 1 | 11:55 a.m.-12:05 p.m. | SSA19-08 | Room S403B
In this session, a team from the U.S. National Institutes of Health will present its computer-aided detection (CAD) software, which is designed to detect colitis on CT exams.
Volumetric assessment aids evaluation of vertigo
Sunday, December 1 | 11:55 a.m.-12:05 p.m. | SSA15-08 | Room N226
A smaller volume of the membranous vestibular system may be responsible for vertigo symptoms, according to German researchers.
US/PET/CT image fusion can guide liver ablation, biopsies
Sunday, December 1 | 11:55 a.m.-12:05 p.m. | SSA23-08 | Room E350
In this presentation, an Italian team will share its experiences in using real-time fusion of ultrasound, FDG-PET, and contrast-enhanced CT for percutaneous liver ablations and biopsies.
CAD assists in spotting renal extracolonic findings on CTC
Sunday, December 1 | 12:05 p.m.-12:15 p.m. | SSA19-09 | Room S403B
Researchers from the U.S. National Institutes of Health will introduce their computer-aided detection (CAD) system for identifying renal calculi and lesions on CT colonography (CTC) studies in this RSNA 2013 session.
Software quantifies blood flow on real-time phase-contrast MRI
Monday, December 2 | 11:20 a.m.-11:30 a.m. | SSC03-06 | Room S504AB
In this scientific session, a German group will showcase its algorithm for automatic quantification of blood flow on real-time phase-contrast MRI studies.
3D tumor assessment can predict hepatocellular carcinoma survival
Monday, December 2 | 11:30 a.m.-11:40 a.m. | SSC16-07 | Room E351
Volumetric tumor assessment methods can predict survival in patients who receive transarterial chemoembolization (TACE) for hepatocellular carcinoma (HCC), according to study results to be presented on Monday.
Bone suppression aids real-time tracking radiotherapy
Monday, December 2 | 11:50 a.m.-12:00 p.m. | SSC15-09 | Room S104A
In this scientific session, a Japanese group will present the benefits of applying a bone-suppression method for real-time target tracking during radiation therapy.
More readers translates to more lung nodules detected
Monday, December 2 | 3:20 p.m.-3:30 p.m. | SSE22-03 | Room S403A
Using multiple readers to detect lung nodules in chest radiographs should be used as a measure for improving the performance of computer-aided detection (CAD), according to Dutch researchers.
CAD may help detect epidural masses on CT
Monday, December 2 | 3:30 p.m.-3:40 p.m. | SSE22-04 | Room S403A
Researchers from the U.S. National Institutes of Health will describe in this RSNA 2013 presentation the potential of their computer-aided detection (CAD) technology for spotting epidural masses on CT studies.
CAD tool boosts prostate cancer detection
Monday, December 2 | 3:50 p.m.-4:00 p.m. | SSE22-06 | Room S403A
In this Monday scientific session, Italian researchers will report on how computer-aided detection (CAD) technology of multiparametric MRI can assist radiologists in diagnosing prostate cancer.
Structural MRI volumetry predicts IQ drop in sickle cell disease
Tuesday, December 3 | 10:30 a.m.-10:40 a.m. | SSG08-01 | Room S402AB
In this presentation, researchers will share six gray-matter structures identified via structural MRI volumetry that are predictive of IQ drops in children with sickle cell disease.
The future is here: Motion-sensor workstations
Tuesday, December 3 | 10:40 a.m.-10:50 a.m. | SSG15-02 | Room S404AB
Japanese researchers have come up with a method that allows radiologists to control image viewing during angiography procedures without touching a workstation.
Liver texture analysis unlocks optimal cirrhosis imaging tool
Tuesday, December 3 | 10:50 a.m.-11:00 a.m. | SSG08-03 | Room S402AB
A Chinese research team will share in this RSNA 2013 presentation which imaging modality is best for staging hepatic fibrosis.
Dual-energy CT tool uncovers patterns in diffuse infiltrative lung disease
Tuesday, December 3 | 11:50 a.m.-12:00 p.m. | SSG08-09 | Room S402AB
In this talk, Korean researchers will share their framework for automatic classification of diffuse infiltrative lung disease on dual-energy CT studies.
Next-generation CAD boosts detection of subtle lung cancer
Tuesday, December 3 | 3:50 p.m.-4:00 p.m. | SSJ06-06 | Room S404CD
Researchers from University Hospitals in Cleveland have found that a next-generation computer-aided detection (CAD) platform could potentially speed up the diagnosis of lung cancer.
3D model feasible for practicing CT-, US-guided procedures
Tuesday, December 3 | 3:50 p.m.-4:00 p.m. | SSJ20-06 | Room N229
A Duke University researcher will showcase in this RNSA 2013 presentation how 3D printing technology can build a phantom for practicing CT- and ultrasound-guided interventional procedures.
CAD may improve detection performance in laxative-free CTC
Wednesday, December 4 | 11:30 a.m.-11:40 a.m. | SSK05-07 | Room E351
In this scientific session, researchers will report on the potential for computer-aided detection (CAD) technology to assist in laxative-free CT colonography (CTC) studies.
CAD aids detection of flat lesions on CTC
Wednesday, December 4 | 11:40 a.m.-11:50 a.m. | SSK05-08 | Room E351
Computer-aided detection (CAD) software can significantly improve sensitivity for detecting challenging flat lesions on CT colonography (CTC) studies, according to research from Massachusetts General Hospital.
3D printing may boost treatment planning, patient education
Wednesday, December 4 | 3:20 p.m.-3:30 p.m. | SSM13-03 | Room E450A
Learn how 3D printing can create physical models to assist in preoperative assessment and patient education by attending this Wednesday RSNA 2013 presentation.
Software trims reader variability in brain florbetapir PET
Thursday, December 5 | 10:50 a.m.-11:00 a.m. | SSQ16-03 | Room S505AB
In this session, researchers will discuss how semiquantitative indices can tackle the bane of FDG-PET brain imaging: interreader variability.
3D breast image analysis unlocks clues on DCIS
Thursday, December 5 | 10:50 a.m.-11:00 a.m. | SSQ02-03 | Room E450A
In this morning presentation, researchers will share findings from quantitative 3D breast image analysis of the characteristics of ductal carcinoma in situ (DCIS).
Immunohistological factors affect breast MRI CAD accuracy
Thursday, December 5 | 11:00 a.m.-11:10 a.m. | SSQ02-04 | Room E450A
Korean researchers will highlight in this RSNA 2013 session which tumor characteristics can lead to missed cancers with breast MRI computer-aided detection (CAD) software.
Talk offers review of advanced visualization's benefits
Thursday, December 5 | 11:35 a.m.-12:00 p.m. | VSVA51-14 | Room S502AB
As part of a vascular imaging series course on CT angiography, Dr. Karin Dill from the University of Chicago will discuss postprocessing, workflow, and interpretation.
Algorithm automatically segments organs in abdominal CT
Friday, December 6 | 11:50 a.m.-12:00 p.m. | SST08-09 | Room E353A
In this scientific session, Duke University researchers will present their software algorithm for automatically segmenting organs in contrast-enhanced abdominal CT scans.