Poster + Presentation + Paper
4 April 2022 Spatial registration without interpolation for uniform display of longitudinal images on clinical PACS systems
Yi-Yu Chou, John Olson, Luis M. Santos, Dzung L. Pham, John A. Butman
Author Affiliations +
Conference Poster
Abstract
Spatial alignment of longitudinal images has been shown to improve the ability of radiologists to evaluate anatomical changes over time. However, although automated alignment using image registration algorithms is routinely performed in research applications, it is not as common within clinical workflows, partly due to limitations in the capabilities of many PACS viewing systems, as well as concerns regarding modification of the original image data. In this work, we propose an approach to integrate spatial registration into radiology workflows without altering the original pixel intensities of the acquired data. Baseline images and follow-up images are received from the PACS, co-registered within a standard reference space, and sent back to the PACS as a separate study. A key advantage of our approach is that the pixel data is not interpolated or modified in any way. The alignment of images is specified solely through modification of DICOM tags, allowing multiplanar reformation features of the PACS viewer to perform the spatial transformations. By leaving the imaging data intact, artifacts that may result from multiple transformations or oscillating interpolating functions are minimized. We demonstrate the use of this approach on magnetic resonance images of the brain, although the framework is applicable to any type of three-dimensional radiological imaging.
Conference Presentation
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yi-Yu Chou, John Olson, Luis M. Santos, Dzung L. Pham, and John A. Butman "Spatial registration without interpolation for uniform display of longitudinal images on clinical PACS systems", Proc. SPIE 12037, Medical Imaging 2022: Imaging Informatics for Healthcare, Research, and Applications, 120370Q (4 April 2022); https://doi.org/10.1117/12.2613156
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KEYWORDS
Image registration

Picture Archiving and Communication System

Magnetic resonance imaging

Radiology

3D image processing

Brain

Tumors

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