MICCAI 2019 Tutorial
Image Registration During Minimally Invasive Catheter-Based Interventions
MICCAI 2019 – Sunday, October 13
In this tutorial, we will present state-of-the-art utilization of available medical image registration techniques in a real-world setting and identify their practical shortcomings that limit routine clinical adoption. Medical imaging community has been actively working on a wide variety of image registration techniques that range from simple 3D-3D/2D-3D to complex deformable registration algorithms considering patient motion and tissue deformation into account. However, routine practical adoption of these algorithms is very limited mainly due to the lack of tailoring image guidance solutions to practical workflow considering their clinical and procedural context. The primary motivation for this image registration tutorial is to highlight and to bridge this “gap” that exists between the two communities, mainly driven by the organizing team’s 8+ years of field experience in utilizing image guidance solutions for various clinical applications.
We will primarily focus on clinical workflows of a couple minimally invasive procedures, present detailed clinical workflows and identify the role of image registration throughout the clinical procedure. The role of image fusion will be described as an integral part of the entire clinical workflow, however, the context of image registration varies throughout the workflow, starting from an initial coordinate transformation of one image to the other, then from registering needles/devices to the target in the image, and finally registering to evaluate and assess the procedural outcome.
1. Review of current image registration algorithms
2. Detailed clinical workflow demonstrations for Liver guided therapies
3. Detailed clinical workflow demonstrations for Cardio-Vascular therapies
Gouthami Chintalapani, PhD.
Siemens Medical Solutions USA Inc., USA
Gouthami Chintalapani is a Sr Staff Scientist at the Advanced Therapies division of Siemens Medical Solutions USA Inc. She received her PhD in Computer Science from Johns Hopkins University in 2010. Since October 2010, she has been working with Siemens Medical Solutions Advanced Therapies division as a clinical collaborations scientist at MD Anderson Cancer Center and Baylor College of Medicine in Houston. Her research interests include neurovascular imaging and it’s applications to neurovascular devices, as well as abdominal imaging with primary focus on liver guided oncological therapies and the use of advanced imaging systems in liver guided therapies.
Ponraj Chinnadurai, MBBS, MMST
Siemens Medical Solutions USA Inc., USA
Dr. Ponraj Chinnadurai is a senior key expert and senior staff scientist with Advanced Therapies Business Unit, Siemens Medical Solutions USA Inc., Malvern, PA. He received his Bachelor of Medicine & Bachelor of Surgery (MBBS) degree from The Tamil Nadu Dr. MGR Medical University, Chennai, India. Pursuing his interest in radiology and medical imaging technology, he received a Master’s degree in Medical Science and Technology (MMST) from Indian Institute of Technology, Kharagpur, India. Dr. Chinnadurai is currently working as on-site research collaborations manager at Texas Medical Center in Houston, Texas, managing Siemens clinical and pre-clinical research projects related to intra-operative 3D imaging, image fusion and image guidance. He is also a visiting research scientist affiliated to Houston Methodist DeBakey Heart and Vascular Center and Houston Methodist Research Institute.
Siemens Healthineers AG, Forchheim, Germany
Jian Wang is an R&D software engineer at the Advanced Therapies division of Siemens Healthineers AG in Germany. He received the his bachelor's degree in Biomedical Engineering from Zhejiang Universty and master's degree in Biomedical Computing from Technical University of Munich. Since 2012, he started to pursue his PhD at University of Erlangen focusing on dynamic 2D/3D image registration. Since December 2015, he has been working with Siemens Healthineers Advanced Therapies division in the developement team for interventional applications. As the technical lead for image fusion and registration, he is responsible for developing image registration workflows and the dedicated algorithms for interventional procedures.