Deformable registration of 3D CT images with partial liver

Giovanni Palma; Greg Padiasek; Arkadiusz Sitek; Paul Dufort; Pedro Esquinas; Marc-Michel Rohé

doi:10.1117/12.2654220

3 April 2023 Deformable registration of 3D CT images with partial liver

Giovanni Palma, Greg Padiasek, Arkadiusz Sitek, Paul Dufort, Pedro Esquinas, Marc-Michel Rohé

Proceedings Volume 12464, Medical Imaging 2023: Image Processing; 124642V (2023) https://doi.org/10.1117/12.2654220
Event: SPIE Medical Imaging, 2023, San Diego, California, United States

Conference Poster

Abstract

Multiphase contrast-enhanced computed tomography (CT) is a popular method used by radiologists to diagnose patients with liver diseases. The analysis of multiphase images may involve image segmentation and registration. While the latter can be addressed using traditional registration techniques, it can be proven difficult when dealing with sub-optimal acquisitions. In real conditions, a registration process not only needs to accommodate patient’s motion occurring between acquisitions but also the variation in the scanner field of view that changes between the acquisitions. Actually, each image acquisition acquired during an individual exam may cover different portions of the liver, resulting in full or partial liver scans. Partial liver scans present a challenge to registration methods that expect to see the same portion of the body in the input data. Such methods would tend to register partial liver volumes to full liver volumes, and as a result, misplace locations of internal liver landmarks. In this work we present a method that registers multiphase CT scans with partial and full liver while ignoring portions of liver that are represented only in one of the scans. We assess its performance and discuss its capacity to improve tracking of liver lesions across phases.

Citation Download Citation

Giovanni Palma, Greg Padiasek, Arkadiusz Sitek, Paul Dufort, Pedro Esquinas, and Marc-Michel Rohé "Deformable registration of 3D CT images with partial liver", Proc. SPIE 12464, Medical Imaging 2023: Image Processing, 124642V (3 April 2023); https://doi.org/10.1117/12.2654220

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