Mapping clinically significant lesions from mpMRI using convolution neural network: feasibility assessment in MRI-guided biopsy cases

Joshua Pearlson; Franklin King

doi:10.1117/12.2582228

15 February 2021 Mapping clinically significant lesions from mpMRI using convolution neural network: feasibility assessment in MRI-guided biopsy cases

Joshua Pearlson, Franklin King

Author Affiliations +

Proceedings Volume 11598, Medical Imaging 2021: Image-Guided Procedures, Robotic Interventions, and Modeling; 1159825 (2021) https://doi.org/10.1117/12.2582228
Event: SPIE Medical Imaging, 2021, Online Only

Conference Poster

Abstract

Purpose: The objective of this paper is to present heatmaps from the likelihood of clinically significant prostate cancer with a deep learning model. This will give radiologists more information on the location of prostate lesions. Methods: 3D Slicer module was developed using a machine learning model to predict pixel-by-pixel PI-RADS scores. The working hypothesis is that the machine learning algorithm will be capable of producing heatmaps with hotspots within a typical size of a lesion with PI-RAD score of 4. Discussion and conclusion: The study provided insight into the future of MRI assessment using Deep Learning models.

Conference Presentation

Citation Download Citation

Joshua Pearlson and Franklin King "Mapping clinically significant lesions from mpMRI using convolution neural network: feasibility assessment in MRI-guided biopsy cases", Proc. SPIE 11598, Medical Imaging 2021: Image-Guided Procedures, Robotic Interventions, and Modeling, 1159825 (15 February 2021); https://doi.org/10.1117/12.2582228

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