Ultrasound medical imaging techniques: a survey
Ultrasound (US) imaging for medical purposes has been increasing in popularity over the
years. The US technology has some valuable strengths, such as it is harmless, very cheap …
years. The US technology has some valuable strengths, such as it is harmless, very cheap …
Pose estimation and non-rigid registration for augmented reality during neurosurgery
Objective: A craniotomy is the removal of a part of the skull to allow surgeons to have access
to the brain and treat tumors. When accessing the brain, a tissue deformation occurs and …
to the brain and treat tumors. When accessing the brain, a tissue deformation occurs and …
Towards multi-modal anatomical landmark detection for ultrasound-guided brain tumor resection with contrastive learning
Homologous anatomical landmarks between medical scans are instrumental in quantitative
assessment of image registration quality in various clinical applications, such as MRI …
assessment of image registration quality in various clinical applications, such as MRI …
Aligning 3D curve with surface using tangent and normal vectors for computer-assisted orthopedic surgery
Registration that aligns different views of one interested organ together is an essential
technique and outstanding problem in medical robotics and image-guided surgery (IGS) …
technique and outstanding problem in medical robotics and image-guided surgery (IGS) …
Probabilistic image registration via deep multi-class classification: characterizing uncertainty
We present a novel approach to probabilistic image registration that leverages the strengths
of deep-learning for modeling agreement between images. We use a deep multi-class …
of deep-learning for modeling agreement between images. We use a deep multi-class …
On the applicability of registration uncertainty
Estimating the uncertainty in (probabilistic) image registration enables, eg, surgeons to
assess the operative risk based on the trustworthiness of the registered image data. If …
assess the operative risk based on the trustworthiness of the registered image data. If …
On the dataset quality control for image registration evaluation
Current registration evaluations typically compute target registration error using manually
annotated datasets. As a result, the quality of landmark annotations is crucial for unbiased …
annotated datasets. As a result, the quality of landmark annotations is crucial for unbiased …
Are registration uncertainty and error monotonically associated?
In image-guided neurosurgery, current commercial systems usually provide only rigid
registration, partly because it is harder to predict, validate and understand non-rigid …
registration, partly because it is harder to predict, validate and understand non-rigid …
Do public datasets assure unbiased comparisons for registration evaluation?
With the increasing availability of new image registration approaches, an unbiased
evaluation is becoming more needed so that clinicians can choose the most suitable …
evaluation is becoming more needed so that clinicians can choose the most suitable …
Learning to Match 2D Keypoints Across Preoperative MR and Intraoperative Ultrasound
We propose in this paper a texture-invariant 2D keypoints descriptor specifically designed
for matching preoperative Magnetic Resonance (MR) images with intraoperative Ultrasound …
for matching preoperative Magnetic Resonance (MR) images with intraoperative Ultrasound …