Interactive GPU volume raycasting in a clustered graphics environment

Noon, Christian; Foo, Eric; Winer, Eliot H.

doi:10.1117/12.911646

Cited by 2 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Advances in computational and graphics processing speeds allow for real-time volume raycasting on desktop and immersive VR hardware platforms [31,32]. However, there has been a dramatic shift in the USA and worldwide toward mobile devices in recent years [33].…”

Section: Mobile Raycastingmentioning

confidence: 99%

Enabling Real-Time Volume Rendering of Functional Magnetic Resonance Imaging on an iOS Device

Holub

Winer

2017

J Digit Imaging

Self Cite

View full text Add to dashboard Cite

Powerful non-invasive imaging technologies like computed tomography (CT), ultrasound, and magnetic resonance imaging (MRI) are used daily by medical professionals to diagnose and treat patients. While 2D slice viewers have long been the standard, many tools allowing 3D representations of digital medical data are now available. The newest imaging advancement, functional MRI (fMRI) technology, has changed medical imaging from viewing static to dynamic physiology (4D) over time, particularly to study brain activity. Add this to the rapid adoption of mobile devices for everyday work and the need to visualize fMRI data on tablets or smartphones arises. However, there are few mobile tools available to visualize 3D MRI data, let alone 4D fMRI data. Building volume rendering tools on mobile devices to visualize 3D and 4D medical data is challenging given the limited computational power of the devices. This paper describes research that explored the feasibility of performing real-time 3D and 4D volume raycasting on a tablet device. The prototype application was tested on a 9.7" iPad Pro using two different fMRI datasets of brain activity. The results show that mobile raycasting is able to achieve between 20 and 40 frames per second for traditional 3D datasets, depending on the sampling interval, and up to 9 frames per second for 4D data. While the prototype application did not always achieve true real-time interaction, these results clearly demonstrated that visualizing 3D and 4D digital medical data is feasible with a properly constructed software framework.

show abstract

Section: Mobile Raycastingmentioning

confidence: 99%

Enabling Real-Time Volume Rendering of Functional Magnetic Resonance Imaging on an iOS Device

Holub

Winer

2017

J Digit Imaging

Self Cite

View full text Add to dashboard Cite

show abstract

“…Advances in computational and graphics processing speeds allow for real-time volume raycasting on desktop and immersive VR hardware platforms [164,178].…”

Section: Mobile Raycastingmentioning

confidence: 99%

Dynamic Volume Rendering of Functional Medical Data on Dissimilar Hardware Platforms

Holub¹

View full text Add to dashboard Cite

In the last 30 years, medical imaging has become one of the most used diagnostic tools in the medical profession. Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) technologies have become widely adopted because of their ability to capture the human body in a non-invasive manner. A volumetric dataset is a series of orthogonal 2D slices captured at a regular interval, typically along the axis of the body from the head to the feet. Volume rendering is a computer graphics technique that allows volumetric data to be visualized and manipulated as a single 3D object. Isosurface rendering, image splatting, shear warp, texture slicing, and raycasting are volume rendering methods, each with associated advantages and disadvantages. Raycasting is widely regarded as the highest quality renderer of these methods.

show abstract

Interactive GPU volume raycasting in a clustered graphics environment

Cited by 2 publications

References 0 publications

Enabling Real-Time Volume Rendering of Functional Magnetic Resonance Imaging on an iOS Device

Enabling Real-Time Volume Rendering of Functional Magnetic Resonance Imaging on an iOS Device

Dynamic Volume Rendering of Functional Medical Data on Dissimilar Hardware Platforms

Contact Info

Product

Resources

About