Learning based fiducial driven registration (LEFIR): Evaluating laser ablation changes for neurological applications

Tao Wan, B. Nicolas Bloch, Shabbar Danish, Anant Madabhushi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this work, we present a novel learning based fiducial driven registration (LeFiR) scheme. We also investigate a key problem concerning the nature of landmark choices in relation to different aspects of the deformation, such as force direction, magnitude of displacement, deformation location, and native imaging artifacts of noise and intensity non-uniformity. In this work we focus on the problem of attempting to identify the optimal configuration of landmarks for recovering deformation between a target and a moving image via a thin-plate spline (TPS) based registration scheme. Additionally, we employ the LeFiR scheme to model the localized nature of deformation introduced by a new treatment modality - laser induced interstitial thermal therapy (LITT) for treating neurological disorders. Magnetic resonance guided LITT has recently emerged as a minimally invasive alternative to craniotomy for local treatment of brain diseases (such as glioblastoma multiforme (GBM), epilepsy). There is thus a need to understand (in terms of imaging features) the precise changes in the target region of interest following LITT. In order to evaluate LeFiR, we tested the scheme on a synthetic brain dataset and in two real clinical scenarios for treating GBM and epilepsy with LITT. In all cases LeFiR was found to outperform a uniform landmark based TPS registration scheme.

Original languageEnglish (US)
Title of host publicationISBI 2013 - 2013 IEEE 10th International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro
Pages1428-1431
Number of pages4
DOIs
StatePublished - 2013
Event2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013 - San Francisco, CA, United States
Duration: Apr 7 2013Apr 11 2013

Publication series

NameProceedings - International Symposium on Biomedical Imaging
ISSN (Print)1945-7928
ISSN (Electronic)1945-8452

Other

Other2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013
CountryUnited States
CitySan Francisco, CA
Period4/7/134/11/13

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

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