Title :
Alternatives to the discrete cosine transform for irreversible tomographic image compression
Author :
Villasenor, John D.
Author_Institution :
Dept. of Electr. Eng., California Univ., Los Angeles, CA, USA
fDate :
12/1/1993 12:00:00 AM
Abstract :
Full-frame irreversible compression of medical images is currently being performed using the discrete cosine transform (DCT). Although the DCT is the optimum fast transform for video compression applications, the authors show here that it is outperformed by the discrete Fourier transform (DFT) and discrete Hartley transform (DHT) for images obtained using positron emission tomography (PET) and magnetic resonance imaging (MRI), and possibly for certain types of digitized radiographs. This difference occurs because PET and MRI images are characterized by a roughly circular region D of non-zero intensity bounded by a region R in which the image intensity is essentially zero. Clipping R to its minimum extent can reduce the number of low-intensity pixels but the practical requirement that images be stored on a rectangular grid means that a significant region of zero intensity must remain an integral part of the image to be compressed. With this constraint imposed, the DCT loses its advantage over the DFT because neither transform introduces significant artificial discontinuities. The DFT and DHT have the further important advantage of requiring less computation time than the DCT
Keywords :
Fourier transforms; biomedical NMR; computerised tomography; data compression; diagnostic radiography; discrete cosine transforms; medical image processing; radioisotope scanning and imaging; computation time; digitized radiographs; discrete Fourier transform; discrete Hartley transform; discrete cosine transform; irreversible tomographic image compression; low-intensity pixels; magnetic resonance imaging; medical diagnostic imaging; positron emission tomography; video compression; Biomedical imaging; Discrete Fourier transforms; Discrete cosine transforms; Fast Fourier transforms; Image coding; Magnetic resonance imaging; Pixel; Positron emission tomography; Radiography; Video compression;
Journal_Title :
Medical Imaging, IEEE Transactions on