Tag Archives: Johns Hopkins University

Image Registration Performance and Image Quality: Ketcha’s Model Provides a Link

Intuitively, the task of registering two images (for example, aligning a preoperative CT image with an intraoperative radiograph or cone-beam CT) must depend on the quality of the images. And it stands to reason that the accuracy of registration will … Continue reading

Imaging for Safer Surgery – Michael Ketcha’s Algorithm for Targeting the Deformed Spine

A recent paper by Michael Ketcha and coauthors at the I-STAR Lab reports a method for accurately targeting vertebrae in surgery under conditions of strong spinal deformation. Previous research showed a method by which target vertebrae defined in preoperative CT … Continue reading

Ultrasound + Cone-Beam CT Guidance: Paper by Eugenio Marinetto in CMIG

A paper published in the journal of Computerized Medical Imaging and Graphics (CMIG) reports the integration of C-arm cone-beam CT with a low-cost ultrasound imaging probe for needle interventions such as biopsy, tumor ablation, and pain management. The research reports … Continue reading

Automatic Planning for Spine Surgery: Paper by Joseph Goerres

Dr. Joseph Goerres, postdoctoral fellow in the I-STAR Lab and Carnegie Center for Surgical Innovation, recently published a paper in Physics in Medicine and Biology that highlights the challenge of achieving precision guidance in spinal surgery. His work addresses the … Continue reading

Ja Reaungamornrat Earns PhD in Computer Science

Sureerat (Ja) Reaungamornrat successfully defended her PhD dissertation, entitled “Deformable Image Registration for Surgical Guidance Using Intraoperative Cone-Beam CT” in December 2016. Her work addresses new methods for deformable image registration in image-guided interventions, including: (1) a hybrid model for … Continue reading