Multidimensional Interactive Radiology Report and Analysis: standardization of workflow and reporting for renal mass tracking and quantification

Darryl H. Hwang; Kevin Ma; Fernando Yepes; Mridula Nadamuni; Megha Nayyar; Brent Liu; Vinay Duddalwar; Natasha Lepore

doi:10.1117/12.2211526

22 December 2015 Multidimensional Interactive Radiology Report and Analysis: standardization of workflow and reporting for renal mass tracking and quantification

Darryl H. Hwang, Kevin Ma, Fernando Yepes, Mridula Nadamuni, Megha Nayyar, Brent Liu, Vinay Duddalwar, Natasha Lepore

Author Affiliations +

Proceedings Volume 9681, 11th International Symposium on Medical Information Processing and Analysis; 96810C (2015) https://doi.org/10.1117/12.2211526
Event: 11th International Symposium on Medical Information Processing and Analysis (SIPAIM 2015), 2015, Cuenca, Ecuador

Abstract

A conventional radiology report primarily consists of a large amount of unstructured text, and lacks clear, concise, consistent and content-rich information. Hence, an area of unmet clinical need consists of developing better ways to communicate radiology findings and information specific to each patient. Here, we design a new workflow and reporting system that combines and integrates advances in engineering technology with those from the medical sciences, the Multidimensional Interactive Radiology Report and Analysis (MIRRA). Until recently, clinical standards have primarily relied on 2D images for the purpose of measurement, but with the advent of 3D processing, many of the manually measured metrics can be automated, leading to better reproducibility and less subjective measurement placement. Hence, we make use this newly available 3D processing in our workflow. Our pipeline is used here to standardize the labeling, tracking, and quantifying of metrics for renal masses.

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Darryl H. Hwang, Kevin Ma, Fernando Yepes, Mridula Nadamuni, Megha Nayyar, Brent Liu, Vinay Duddalwar, and Natasha Lepore "Multidimensional Interactive Radiology Report and Analysis: standardization of workflow and reporting for renal mass tracking and quantification", Proc. SPIE 9681, 11th International Symposium on Medical Information Processing and Analysis, 96810C (22 December 2015); https://doi.org/10.1117/12.2211526

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KEYWORDS

Kidney

Radiology

3D metrology

3D modeling

3D image processing

Image segmentation

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