Academia experiments with 3D stack viewing software

Article

With the RSNA meeting just around the corner, luminaries are shifting their attention from handling the hundreds of images generated in a CT or MR exam to handling the ones they pick out to prove their cases in Chicago. The problem is all the more frustrating when physicians are aware that what can be done with images by way of a PACS cannot be done when using software such as Microsoft PowerPoint.

With the RSNA meeting just around the corner, luminaries are shifting their attention from handling the hundreds of images generated in a CT or MR exam to handling the ones they pick out to prove their cases in Chicago. The problem is all the more frustrating when physicians are aware that what can be done with images by way of a PACS cannot be done when using software such as Microsoft PowerPoint.

Tackling the challenge, researchers at the University of Michigan and Yale University have developed a tool that allows presenters to manipulate image stacks just as they would using a PACS workstation. Their solution, called StackViewer, offers radiologists the ability to interact with images the way they do in clinical practice, allowing them to easily and interactively display stacks of images in PowerPoint presentations, according to StackViewer designer Dr. Benoit Desjardins of the University of Michigan radiology department.

Before StackViewer, presenters had no way to manipulate image stacks, because the tools in use were created as ActiveX controls, with a number of inherent limitations, he said. The tools had not been developed to save images in a stack within the PowerPoint file itself. Thus, moving a presentation file to a different computer required moving a directory of image files along with it.

ActiveX controls have to be installed on a computer before they run. While this is relatively simple, it nevertheless requires another step that can hinder transfer and distribution of presentations. And, ActiveX controls do not run on Mac OS X.

StackViewer is programmed in Microsoft Visual Basic for Applications, the embedded macro language for PowerPoint. When StackViewer components are added to a presentation, embedded objects and commands are created within the PowerPoint presentation file. This allows stacks to be viewed on another computer without installing any new software, according to the StackViewer Web site created by Desjardins.

Images can be added to a stack in any standard image format supported by PowerPoint. The stacked images are saved seamlessly within the presentation file.

"The real beauty of our tool is that all the code to interact with the stacks of images is integrated in the PowerPoint presentation," Desjardins said.

StackViewer allows stacks of 2D images to be displayed interactively on Windows-based or Mac OS X computers without compromising portability or compatibility, he said. When radiologists run their PowerPoint presentations, they can interact with the stack in the same way they do on most PACS.

Newsletter

Stay at the forefront of radiology with the Diagnostic Imaging newsletter, delivering the latest news, clinical insights, and imaging advancements for today’s radiologists.

Recent Videos
SNMMI: Emerging PET Insights on Neuroinflammation with Progressive Apraxia of Speech (PAOS) and Parkinson-Plus Syndrome
Improving Access to Nuclear Imaging: An Interview with SNMMI President Jean-Luc C. Urbain, MD, PhD
SNMMI: 18F-Piflufolastat PSMA PET/CT Offers High PPV for Local PCa Recurrence Regardless of PSA Level
SNMMI: NIH Researcher Discusses Potential of 18F-Fluciclovine for Multiple Myeloma Detection
SNMMI: What Tau PET Findings May Reveal About Modifiable Factors for Alzheimer’s Disease
Emerging Insights on the Use of FES PET for Women with Lobular Breast Cancer
Can Generative AI Reinvent Radiology Reporting?: An Interview with Samir Abboud, MD
Mammography Study Reveals Over Sixfold Higher Risk of Advanced Cancer Presentation with Symptom-Detected Cancers
Combining Advances in Computed Tomography Angiography with AI to Enhance Preventive Care
Study: MRI-Based AI Enhances Detection of Seminal Vesicle Invasion in Prostate Cancer
Related Content
© 2025 MJH Life Sciences

All rights reserved.