Paper
28 May 2001 Presenting 3D MRI data in visual perspective
Haiying Liu, Chialei Chin
Author Affiliations +
Abstract
To improve depth perception a projection scheme was developed, which incorporates visual perspective transformation in the MR image reconstruction, in which an observation point (OP) was selected in space relative to the image volume. The image formation process was modeled as a camera, whose lens center (LC) coincide with the OP, and a picture plane (PP) was placed at the focal plane. The finite sized PP corresponded to what the observer saw. Each pixel in the PP defined a ray projection trajectory (PT) from LC. The intensity values for a set of discrete points along the PT were interpolated from the image volume. From these projection profiles, various projection images can be derived depending how the intensity profile is manipulated. To demonstrate the effectiveness of the method, we obtained three dimensional image data sets, which included anatomical (TR/TE/flip=13/6/9) and angiographical data sets (TR/TE/Flip=30/5.4/15) in transverse orientation from a patient head at 1.5T. Both quasi-surface rendering and MaxIP algorithms were used along the viewing trace of perspective projection than rather the parallel projection. For multiple Ops with different distances from the 3D image volume, consecutive views were obtained at a constant interval azimuthally. When displayed in cine-mode, the MaxIP images appeared realistic with improved depth perception, different portions of the image moved naturally according to the expectation of human visual system.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Haiying Liu and Chialei Chin "Presenting 3D MRI data in visual perspective", Proc. SPIE 4319, Medical Imaging 2001: Visualization, Display, and Image-Guided Procedures, (28 May 2001); https://doi.org/10.1117/12.428077
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KEYWORDS
3D image processing

Visualization

Magnetic resonance imaging

Image processing

Cameras

Angiography

Image restoration

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