Ανάπτυξη συστήματος τομογραφικής απεικόνισης σε εξομοιωτή ακτινοθεραπείας

A method of optimized efficiency for the retrospective reconstruction of tomograms is presented. The method has been developed for use with isocentric fluoroscopic units and is capable of performing Digital Tomosynthesis of anatomical planes with any orientation and at any distance from the isocenter. Optimization of efficiency has been achieved by segmenting the reconstruction process into discrete transformations that are specific to groups of pixels, rather than performing pixel by pixel operations. These involve a number of projections of the acquired image matrices as well as parallel translations and summing. Application of this method has resulted in an estimated 60-fold reduction of computing time, thus maintaining computer power requirements to a minimum. A technique has also been developed for the separation and subsequent removal of undesirable information from the reconstructed plane. The method involves the reconstruction of the blur originating in user-selected "noisy" planes as this appears on the plane of interest. This is achieved by projecting the reconstructed images of the selected plane on the image formation plane for all viewing angles and subsequently, synthesizing its blurred image on the plane of interest. There are no restrictions as to the number and the location of the planes to be removed. The technique can be modified to suit any reconstruction algorithm. The proposed algorithm and the noise removal technique were experimentally tested with the use of the phantom and were also evaluated on clinical images.

Grantor dc:publisher

University of Patras

Year dc:date

1991

Authors dc:creator

• Kolitsi, Zoi
• Κολίτση, Ζωή

• Ανακατασκευή εικόνας
• Τομογραφία περιορισμένης γωνίας
• Τομογραφικός θόρυβος
• Τομοσύνθεση
• Ψηφιακή τομοσύνθεση
• Digital tomosynthesis
• Image processing
• Image reconstruction
• Limited-angle tomography
• Tomographic noise
• Ιατρική και Επιστήμες Υγείας
• Άλλες Ιατρικές Επιστήμες
• Medical and Health Sciences
• Other Medical Sciences

Language dc:language

gre

Identifier

10.12681/eadd/1733

OAI identifier oai:identifier

oai:10442/1733