A
Ali Khamene
Researcher at Princeton University
Publications - 42
Citations - 2526
Ali Khamene is an academic researcher from Princeton University. The author has contributed to research in topics: Image registration & Augmented reality. The author has an hindex of 25, co-authored 42 publications receiving 2432 citations. Previous affiliations of Ali Khamene include University of Miami.
Papers
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Journal ArticleDOI
The FLARE™ Intraoperative Near-Infrared Fluorescence Imaging System: A First-in-Human Clinical Trial in Breast Cancer Sentinel Lymph Node Mapping
Susan Troyan,Vida Kianzad,Summer L. Gibbs-Strauss,Sylvain Gioux,Aya Matsui,Rafiou Oketokoun,Rafiou Oketokoun,Long Ngo,Ali Khamene,Fred S. Azar,John V. Frangioni +10 more
TL;DR: Simultaneous pan-lymphatic and SLN mapping was demonstrated in swine using clinically available NIR fluorophores and the dual NIR capabilities of the FLARE™ system, describing the successful clinical translation of a new NIR fluorescence imaging system for image-guided oncologic surgery.
Journal ArticleDOI
Automatic CT-ultrasound registration for diagnostic imaging and image-guided intervention
TL;DR: New methods that allow one to simulate medical ultrasound from CT in real-time, reproducing the majority of ultrasonic imaging effects are developed, along with a robust similarity measure.
Journal ArticleDOI
Automatic registration of portal images and volumetric CT for patient positioning in radiation therapy
TL;DR: This work proposes and evaluates an intensity based automatic registration method using multiple portal images and the pre-treatment CT volume, and performs both geometric and radiometric calibrations to generate high quality digitally reconstructed radiographs (DRRs) that can be compared against portal images acquired right before treatment dose delivery.
Patent
Method and apparatus for ultrasound guidance of needle biopsies
TL;DR: In this article, an ultrasound scanning system has an ultrasound transducer (10) which provides ultrasound images, a computer to process the ultrasound information and to render the ultrasound image correctly positioned and scaled for display on a flat panel monitor (29) which has a display size similar to the actual physical size of the image.
Book ChapterDOI
Simulation and fully automatic multimodal registration of medical ultrasound
TL;DR: New methods that allow one to simulate medical ultrasound from CT in real-time, reproducing the majority of ultrasonic imaging effects, and a robust similarity measure that assesses the correlation of a combination of multiple signals extracted from CT with ultrasound.