Share Email Print
cover

Proceedings Paper

Intraoperative thermographic perfusion mapping in neurosurgery using regularized semiparametric regression (Conference Presentation)
Author(s): Juliane Müller; Nico Hoffmann; Martin Oelschlägel; Christian Schnabel; Gerald Steiner; Edmund Koch; Stephan B. Sobottka; Gabriele Schackert; Matthias Kirsch

Paper Abstract

The success of brain surgery depends on the exact and effective treatment of pathological alterations while preserving functional tissue and essential vessels. Varying intraoperative imaging methods have been developed to achieve this goal. For cortical perfusion imaging, application of time-resolved thermography in combination with an intravenously applied cold bolus became a promising approach. This work provides a regularized semiparametric regression framework that detects the cold signal response function while compensating arbitrary background signals using penalized B-Splines. This enables weak thermal signal detection to give information about blood flow even in small vessels, applicable for intraoperative cortical blood flow mapping.

Paper Details

Date Published: 17 March 2020
PDF
Proc. SPIE 11315, Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and Modeling, 113150N (17 March 2020); doi: 10.1117/12.2549641
Show Author Affiliations
Juliane Müller, TU Dresden (Germany)
Nico Hoffmann, Helmholtz-Zentrum Dresden-Rossendorf e. V. (Germany)
Martin Oelschlägel, TU Dresden (Germany)
Christian Schnabel, Univ. Carl Gustav Carus Dresden, TU Dresden (Germany)
Gerald Steiner, Univ. Carl Gustav Carus Dresden, TU Dresden (Germany)
Edmund Koch, Univ. Carl Gustav Carus Dresden, TU Dresden (Germany)
Stephan B. Sobottka, Univ. Carl Gustav Carus Dresden, TU Dresden (Germany)
Gabriele Schackert, Univ. Carl Gustav Carus Dresden, TU Dresden (Germany)
Matthias Kirsch, Univ. Carl Gustav Carus Dresden, TU Dresden (Germany)
Asklepios Kliniken GmbH (Germany)


Published in SPIE Proceedings Vol. 11315:
Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and Modeling
Baowei Fei; Cristian A. Linte, Editor(s)

© SPIE. Terms of Use
Back to Top
PREMIUM CONTENT
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?
close_icon_gray