Tag Archives: 3D Image Registration

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

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

Ali Uneri Earns Ph.D. in Computer Science

Ali Uneri successfully defended his Ph.D. dissertation, entitled “Imaging and Registration for Surgical Guidance: Systems and Algorithms for Intraoperative C-Arm 2D and 3D Imaging” in December 2016.   His work realized methods for mobile C-arm 2D and 3D imaging integrated with surgical … Continue reading

Hao Dang Tackles Truncation Using Multi-Resolution CT Reconstruction

A recent paper published in Physics in Medicine and Biology by Hao Dang and coauthors in the I-STAR Lab reports a multi-resolution CT image reconstruction method that efficiently overcomes truncation effects, which are a particularly important problem in cone-beam CT (which often has … 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