dr. G. Wardhana (Girindra)

Engineering & Materials Science

# Electrodes
# Electroporation
# Liver
# Magnetic Resonance Imaging
# Needles
# Tumors

Medicine & Life Sciences

# Electrodes
# Electroporation

Faculty of Science and Technology (TNW), Cardiovascular and Respiratory Physiology (CRPH)

Wardhana, G. (2023). Irreversible Electroporation: Maximizing Treatment Efficacy Through Optimization Strategies and Robotic Assistance. [PhD Thesis - Research UT, graduation UT, University of Twente]. University of Twente. https://doi.org/10.3990/1.9789036556750

Wardhana, G. , Mak, Y. X. , Abayazid, M. , & Fütterer, J. J. (2022). Design and Characterization of a Multiple Needle Insertion MRI-guided Robot for Irreversible Electroporation (IRE) Treatment. In 2022 9th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob) (pp. 1-6). Article 9925469 IEEE. https://doi.org/10.1109/BioRob52689.2022.9925469

Wardhana, G., Raman, N. M. , Abayazid, M. , & Fütterer, J. J. (2022). Investigating the effect of electrode orientation on irreversible electroporation with experiment and simulation. International journal of computer assisted radiology and surgery, 17(8), 1399-1407. https://doi.org/10.1007/s11548-022-02618-y

Wardhana, G., Vera Tizatl, A. L. , Abayazid, M. , & Fütterer, J. J. (2021). Automatic trajectory planning for IRE treatment in liver tumours A numerical study. Abstract from 8th Dutch Bio-Medical Engineering Conference, BME 2021, Virtual Conference.

Wardhana, G., Almeida, J. P. , Abayazid, M. , & Fütterer, J. J. (2021). Development of a thermal model for irreversible electroporation: an approach to estimate and optimize the IRE protocols. International journal of computer assisted radiology and surgery, 16(8), 1325-1334. https://doi.org/10.1007/s11548-021-02403-3

Wardhana, G. , Naghibi, H. , Sirmacek, B. , & Abayazid, M. (2021). Toward reliable automatic liver and tumor segmentation using convolutional neural network based on 2.5D models. International journal of computer assisted radiology and surgery, 16(1), 41-51. https://doi.org/10.1007/s11548-020-02292-y

Wardhana, G. , Naghibi Beidokhti, H. , Sirmaçek, B. , & Abayazid, M. (2019). Liver Classification Implementation For Fast Automatic Liver Segmentation in CT Scan Images. Abstract from 25th Congress of the European Society of Biomechanics , Vienna, Austria.

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MRI GUIDED IRREVERSIBLE ELECTROPORATION

Accurate needle placement is one of the challenges in IRE procedure. Needles should be placed parallel and at the same depth to allow the electrical field to distribute effectively across the cell to destroy the tumor. It is essential, since the tumor may remain due to misplacement of the needles. Researchers have shown an increased interest in robot utilization combined with MRI imaging modality as a solution for this. Although various types of robots have been developed, little attention has been paid to the robot for guiding multiple needle insertion, such as in IRE procedure.

In this project, we design and develop a MRI compatible body-mounted robot for multiple needle insertion. It includes the development of the mounting mechanism, sterilization strategy, rigidity study, and ultimately a controllable method to navigate the probes automatically to target the tumor. In addition to the robot development, a software system will be developed for planning, tracking and navigating the needle. Automatic robot-image registration will be studied to provide correction due to any misalignment that may occur during the robot movement. Moreover, real-time liver tumor segmentation will be developed using deep learning method from MRI image to obtain a real-time location of the liver tumor. In the end, by combining robot-image registration and liver tumor segmentation, the accuracy of the navigation system can be increased and the correct path for needle can be provided.

+31534896943

g.wardhana@utwente.nl