&lt;title&gt;Video compression algorithm for dynamic angiographic images&lt;/title&gt;

Ho, Bruce Kuo Ting; Saipetch, Pongskorn; Wei, Jinyu; Ma, Marco; Villasenor, John; Tsai, M. J.

doi:10.1117/12.174013

Cited by 4 publications

(3 citation statements)

References 16 publications

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“…The first attempts to code a sequence of medical images were to hypothesize the collection of these images in time domain and methods similar to video coders, like MPEG, were used [12]. However it has been shown that that such algorithms are not adapted to the compression of 3D CLSM images because images are obtained as optical sections at different locations along the optical axis [19] and the motion compensation techniques cannot effectively capture the pixel-intensity correlations across consecutive frames [8].…”

Section: Introductionmentioning

confidence: 99%

A hybrid vector quantizer for enhanced image pyramid coding with application to volumetric image compression in confocal microscopy

Tao

Cockshott

2005

SPIE Proceedings

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Three-dimensional image compression methods outperform their two-dimensional counterparts in the sense of higher rate-distortion performance for compressing volumetric image data. The state-of-the-art transform-based 3D compressors, such as 3D-SPIHT and 3D-DCT, are characterized for their rate control ability, where the qualities of the image, although are adjustable with respect to rates, are not explicitly controllable. A novel method, based on vector quantization in an enhanced image pyramid with error feedback, has been proposed, where the quality of the decompressed image only depends on the encoding of coefficients from the finest band and therefore a distortionconstraint transform coding is achieved. Compared to the previous image pyramid transform coders, its coding efficiency has been improved by using a cross-band classified vector quantizer (CBCVQ), where the encoding of current band will benefit from the encoding result from previous bands. Two explicit bit-allocation schemes, one is regarding the bit allocation across bands and the other is across the sub vector quantizers within each band, have been applied to minimize the total rate under the constraint of specified distortion. Evaluations have been performed on several data sets obtained by confocal laser scanning microscopy (CLSM) scans for vascular remodeling study. The results show that the proposed method has competitive compression performance for volumetric microscopic images, compared to other state-of-the-art methods. Moreover the distortion-constraint feature offers more flexible control than its rate-constraint counterpart in bio-medical image applications. Additionally, it effectively reduces the artefacts presented in other approaches at low bit rates and therefore achieved more subjective acceptance.

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Section: Introductionmentioning

confidence: 99%

A hybrid vector quantizer for enhanced image pyramid coding with application to volumetric image compression in confocal microscopy

Tao

Cockshott

2005

SPIE Proceedings

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“…In 3D case, many approaches, closed to the MPEG standard [18], using block matching algorithm for motion estimation has been developed [20,24] to code medical 2D sequences as numerical angiographies. Such algorithms are not adapted to the compression of real 3D medical images because of the artefacts introduced when quantizing the third dimension which are not acceptable for static data.…”

Section: Introductionmentioning

confidence: 99%

3D medical image coding using separable 3D wavelet decomposition and lattice vector quantization

et al. 1997

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An original 3D subband coding scheme is proposed. A separable 3D wavelet, taking full advantage of the 3D structures correlation, decomposes the original volume into subvolumes which can be separately quantized by an uniform scalar quantizer or by a 3D lattice vector quantizer. Concentric hyper-pyramids lying on the cubic lattice are used for searching codewords. A distortion minimization algorithm both selects the best number of decomposition and the best set of quantizers in order to minimize the overall mean square error. The whole algorithm is applied on a 3D image data base issued from the Morphometer (a new true 3D X-Ray scanner). The results presented include traditional signal to noise ratio performances and a subjective evaluation made by radiologists.

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“…In previous work, using a metric sensitive to block artifacts [12], Ho et a1 concluded that for similar amounts of lossy compression in coronary and neuro angiograms the block-encoded methods introduced significantly more block artifacts. This would suggest that the motion wavelet codec would perform even better then the motion JPEG codec based on a block artifact metric.…”

Section: Discussionmentioning

confidence: 98%

Wavelet compression of ultrasound video streams for teleradiology

Andrew

Stewart²,

Langer³

et al.

Proceedings. 1998 IEEE International Conference on Information Technology Applications in Biomedicine, ITAB '98 (Cat. No.98EX18

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Future developments in teleradiology hinge on the delivery of real or near realtime images, sometimes across less than optimal bandwidth communication channels. Ultrasound, to achieve its greatest diagnostic value, needs to transmit not just still images but video as well. A significant amount of compression, however, maybe required to achieve near real-time video across limited bandwidths. This will inevitably result in degraded video quality.A variety of compression algorithms are in wide spread use including H.261, H.323, JPEG (Joint Photographic Experts Group [ l]), MPEG (Motion Picture Expert Group, [2]) and most recently wavelets. We have developed a suite of tools to evaluate each of these methods, and to identify potential areas where wavelet compression may have an advantage.In this particular study, we compare "motionwavelet" compression to "motion-JPEGt (compression using the standard correlation coefficient and the normalized mean squared error, and found the motion wavelet technique slightly better.

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<title>Video compression algorithm for dynamic angiographic images</title>

Cited by 4 publications

References 16 publications

A hybrid vector quantizer for enhanced image pyramid coding with application to volumetric image compression in confocal microscopy

A hybrid vector quantizer for enhanced image pyramid coding with application to volumetric image compression in confocal microscopy

3D medical image coding using separable 3D wavelet decomposition and lattice vector quantization

Wavelet compression of ultrasound video streams for teleradiology

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