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. 2008 Sep;21(3):306-11.
doi: 10.1007/s10278-007-9032-9. Epub 2007 Mar 24.

On-the-fly generation of multiplanar reformation images independent of CT scanner type

Dong Kyun Jeong  1 , Kyoung Ho Lee, Bo Hyoung Kim, Kil Joong Kim, Young Hoon Kim, Vasundhara Bajpai, Yeong Gil Shin
Affiliations

On-the-fly generation of multiplanar reformation images independent of CT scanner type

Dong Kyun Jeong et al. J Digit Imaging. 2008 Sep.

Abstract

We propose a system that automatically generates multiplanar reformation (MPR) images on-the-fly, which is independent of computed tomography (CT) scanner type. Triggered by digital imaging communication in medicine (DICOM) Storage Commitment or in a time threshold manner, this system generates MPR images from received thin-section CT data sets with predefined reformation parameters and then sends MPR images to DICOM stations. Users can specify the reformation parameters and the destination of the resulting MPR images for each CT study description. A pilot system was tested for 3 months. From thin-section data sets received from two 16- and one 64-detector-row CT scanners, this system generated MPR images and sent them to the picture archiving and communication system (PACS) without failure or any additional human operation. For 143 test thin-section CT studies (172-4,761 images in each study), the time to store reformatted images (axial and coronal with 5-mm thicknesses and 4-mm intervals) in PACS after the completion of the CT scan ranged from 92 to 1,772 s (mean +/- SD, 555.1 +/- 509.4).

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Figures

Fig 1
Fig 1
Configuration of the reformation parameters. For a study with the Study Description Abdomen CT, a set of axial MPR images is generated with a 5-mm slab thickness, a 4-mm interval, an average intensity projection, a window width of 400, and a window center of 20.
Fig 2
Fig 2
Generation of sagittal reformation images. From thin-section source images (horizontal solid lines), intermediate sagittal images (vertical dotted lines) are resampled within a slab of a predefined thickness (t) using a trilinear interpolation technique. A sagittal slab MPR image (a vertical solid line) is then obtained by projecting these intermediate images. The next sagittal MPR image is centered adjacent to the previous MPR image according to a predefined interval between slabs (d), along the x-axis.
Fig 3
Fig 3
Configuration of the triggering mechanism.
Fig 4
Fig 4
Dashboard.
See this image and copyright information in PMC

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