Prediction of brain MR scans in longitudinal tumor follow-up studies

Lior Weizman, Liat Ben-Sira, Leo Joskowicz, Orna Aizenstein, Ben Shofty, Shlomi Constantini, Dafna Ben-Bashat

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

12 Scopus citations

Abstract

We present a new method for the estimation of the next brain MR scan in a longitudinal tumor follow-up study. Our method effectively incorporates information of the past scans in the time series to predict the future scan of the patient. Its advantages are that it requires no user intervention and does not assume any particular tumor growth model. Instead, the patient-specific tumor growth parameters are estimated individually from the past patient scans. To validate our method, we conducted an experimental study on four patients with Optic Path Gliomas (OPGs) and four patients with glioblastomas multiforma (GBM), each scanned at five time points. The tumor volumes in the predicted and actual future scans, both segmented by an expert radiologist, yield a mean volume overlap difference of 13.65% for the OPG patients, and 34.23% for the GBM patients.

Original languageAmerican English
Title of host publicationMedical Image Computing and Computer-Assisted Intervention - MICCAI2012 - 15th International Conference, Proceedings
EditorsGeorg Langs, Albert Montillo, Bjoern H. Menze, Antonio Criminisi, Zhuowen Tu, Le Lu, Georg Langs, Nicholas Ayache, Hervé Delingette, Bjoern H. Menze, Polina Golland, Kensaku Mori
PublisherSpringer Verlag
Pages179-187
Number of pages9
ISBN (Print)9783642334177
DOIs
StatePublished - 2012
Event15th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2012 - Nice, France
Duration: 5 Oct 20125 Oct 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7511 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference15th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2012
Country/TerritoryFrance
CityNice
Period5/10/125/10/12

Bibliographical note

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2012.

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