CUST: CNN for ultrasound thermal image reconstruction using sparse time-of-flight information

Younsu Kim, Chloé Audigier, Emran M.A. Anas, Jens Ziegle, Michael Friebe, Emad Boctor

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

Abstract

Thermotherapy is a clinical procedure to induce a desired biological tissue response through temperature changes. To precisely operate the procedure, temperature monitoring during the treatment is essential. Ultrasound propagation velocity in biological tissue changes as temperature increases. An external ultrasound element was integrated with a bipolar radiofrequency (RF) ablation probe to collect time-of-flight information carried by ultrasound waves going through the ablated tissues. Recovering temperature at the pixel level from the limited information acquired from this minimal setup is an ill-posed problem. Therefore, we propose a learning approach using a designed convolutional neural network. Training and testing were performed with temperature images generated with a computational bioheat model simulating a RF ablation. The reconstructed thermal images were compared with results from another sound velocity reconstruction method. The proposed method showed better stability and accuracy for different ultrasound element locations. Ex-vivo experiments were also performed on porcine liver to evaluate the proposed temperature reconstruction method.

Original languageEnglish (US)
Title of host publicationSimulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation - International Workshops, POCUS 2018, BIVPCS 2018, CuRIOUS 2018, and CPM 2018, Held in Conjunction with MICCAI 2018, Proceedings
EditorsStephen Aylward, Amber Simpson, Lena Maier-Hein, Anne Martel, Matthieu Chabanas, João Manuel Tavares, Ingerid Reinertsen, Zeike Taylor, Yiming Xiao, Keyvan Farahani, Danail Stoyanov, Shuo Li, Hassan Rivaz
PublisherSpringer Verlag
Pages29-37
Number of pages9
ISBN (Print)9783030010447
DOIs
StatePublished - Jan 1 2018
EventInternational Workshop on Point-of-Care Ultrasound, POCUS 2018, the International Workshop on Bio-Imaging and Visualization for Patient-Customized Simulations, BIVPCS 2017, the International Workshop on Correction of Brainshift with Intra-Operative Ultrasound, CuRIOUS 2018, and the International Workshop on Computational Precision Medicine, CPM 2018, held in conjunction with the 21st International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018 - Granada, Spain
Duration: Sep 16 2018Sep 20 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11042 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

OtherInternational Workshop on Point-of-Care Ultrasound, POCUS 2018, the International Workshop on Bio-Imaging and Visualization for Patient-Customized Simulations, BIVPCS 2017, the International Workshop on Correction of Brainshift with Intra-Operative Ultrasound, CuRIOUS 2018, and the International Workshop on Computational Precision Medicine, CPM 2018, held in conjunction with the 21st International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018
CountrySpain
CityGranada
Period9/16/189/20/18

Keywords

  • Bipolar ablation
  • CNN
  • Hyperthermia
  • Temperature image reconstruction
  • Thermotherapy
  • Ultrasound
  • Ultrasound thermal monitoring

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint Dive into the research topics of 'CUST: CNN for ultrasound thermal image reconstruction using sparse time-of-flight information'. Together they form a unique fingerprint.

Cite this