Company Filing History:
Years Active: 2001-2002
Title: Innovations by Muzzafer Hiraoglu
Introduction
Muzzafer Hiraoglu is an accomplished inventor based in Woburn, MA (US). He has made significant contributions to the field of computed tomography through his innovative patents. With a total of 2 patents, Hiraoglu's work focuses on enhancing the detection and classification of objects in CT data.
Latest Patents
Hiraoglu's latest patents include an "Apparatus and method for processing object data in computed tomography data using object projections." This invention discloses a method for identifying and classifying objects represented in CT data by generating a two-dimensional projection along the principal axis of the object. The principal axis is determined by computing eigenvectors of a covariance matrix associated with the object's spatial locations.
Another notable patent is the "Apparatus and method for detecting concealed objects in computed tomography data." This invention provides a method for detecting concealed sheet-shaped objects, such as explosives, using a CT scanning system. The method analyzes CT voxels in proximity to the concealed object to determine if it is hidden within an electronic device or sandwiched between innocuous items like books or magazines.
Career Highlights
Muzzafer Hiraoglu is currently employed at Analogic Corporation, where he continues to develop innovative solutions in the field of medical imaging and security. His work has significantly impacted the way concealed objects are detected, enhancing safety and security measures in various applications.
Collaborations
Hiraoglu has collaborated with notable colleagues, including Carl R Crawford and Ibrahim M Bechwati. These partnerships have fostered a collaborative environment that encourages innovation and the sharing of ideas.
Conclusion
Muzzafer Hiraoglu's contributions to computed tomography through his patents demonstrate his commitment to innovation and safety. His work continues to influence the field, making significant strides in object detection and classification.
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