The 3D EdgeRunner Pipeline: a novel shape-based analysis for neoplasms characterization

Fernando Yepes-C; Rebecca Johnson; Yi Lao; Darryl Hwang; Julie Coloigner; Felix Yap; Desai Bushan; Phillip Cheng; Inderbir Gill; Vinay Duddalwar; Natasha Lepore

doi:10.1117/12.2217238

29 March 2016 The 3D EdgeRunner Pipeline: a novel shape-based analysis for neoplasms characterization

Fernando Yepes-C, Rebecca Johnson, Yi Lao, Darryl Hwang, Julie Coloigner, Felix Yap, Desai Bushan, Phillip Cheng, Inderbir Gill, Vinay Duddalwar, Natasha Lepore

Author Affiliations +

Proceedings Volume 9788, Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging; 97882N (2016) https://doi.org/10.1117/12.2217238
Event: SPIE Medical Imaging, 2016, San Diego, California, United States

Abstract

The characterization of tumors after being imaged is currently a qualitative process performed by skilled professionals. If we can aid their diagnosis by identifying quantifiable features associated with tumor classification, we may avoid invasive procedures such as biopsies and enhance efficiency. The aim of this paper is to describe the 3D EdgeRunner Pipeline which characterizes the shape of a tumor. Shape analysis is relevant as malignant tumors tend to be more lobular and benign ones tare generally more symmetrical. The method described considers the distance from each point on the edge of the tumor to the centre of a synthetically created field of view. The method then determines coordinates where the measured distances are rapidly changing (peaks) using a second derivative found by five point differentiation. The list of coordinates considered to be peaks can then be used as statistical data to compare tumors quantitatively. We have found this process effectively captures the peaks on a selection of kidney tumors.

Citation Download Citation

Fernando Yepes-C, Rebecca Johnson, Yi Lao, Darryl Hwang, Julie Coloigner, Felix Yap, Desai Bushan, Phillip Cheng, Inderbir Gill, Vinay Duddalwar, and Natasha Lepore "The 3D EdgeRunner Pipeline: a novel shape-based analysis for neoplasms characterization", Proc. SPIE 9788, Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, 97882N (29 March 2016); https://doi.org/10.1117/12.2217238

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available