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Emad M. Boctor Mikhail, Ph.D.

Photo of Dr. Emad M. Boctor Mikhail, Ph.D.

Director, Medical UltraSound Imaging and Intervention Collaboration (MUSiiC) Research Laboratory

Assistant Professor of Radiology and Radiological Science

Research Interests: Thermal imaging; Elasticity; Ultrasound imaging; Image-guided therapy; Image-guided intervention

Background

Emad M. Boctor, Ph.D., is an Assistant Professor in the Johns Hopkins Medicine Division of Medical Imaging Physics within the Department of Radiology and Radiological Science.

He holds a joint appointment in the Whiting School of Engineering’s Department of Computer Science.

Dr. Boctor earned a B.Sc. in biomedical engineering from Egypt’s Cairo University before earning master’s and doctoral degrees in computer science from Johns Hopkins University.

After joining the Hopkins faculty, he launched the Medical UltraSound Imaging and Intervention Collaboration (MUSiiC) Research Laboratory, which develops innovative ultrasound technologies for medical applications.

He is also affiliated with the JHU Laboratory for Computational Sensing and Robotics and Computer Integrated Surgical Systems and Technology (CISST) Engineering Research Center, a National Science Foundation-designated center.

Dr. Boctor has authored and co-authored more than 25 journal articles, as well as the book Enabling Technologies for Ultrasound Imaging in Computer-Assisted Intervention. He holds several patents, with more pending.

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Titles

  • Director, Medical UltraSound Imaging and Intervention Collaboration (MUSiiC) Research Laboratory
  • Assistant Professor of Radiology and Radiological Science

Research & Publications

Lab

Dr. Boctor created and leads the Medical UltraSound Imaging and Intervention Collaboration (MUSiiC) Research Laboratory. The lab develops leading-edge ultrasound technologies for medical applications that include prostate and breast cancer treatment, brachytherapy and liver ablation.

Investigators study advanced ultrasound techniques such as ultrasound elastography imaging, 3-D ultrasound reconstruction methods, parallel and GPU implementations, CT-US registration and segmentation.

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