A practical clinical method for contour determination in ultrasonographic prostate images

Aarnink, R.G.; Giesen, R.J.B.; Huynen, A.L.; Rosette, Jean J.M.C.H. de la; Debruyne, F.M.J.; Wijkstra, Hessel

doi:10.1016/0301-5629(94)90028-0

Cited by 61 publications

(42 citation statements)

References 22 publications

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“…An image processing system, consisting of an ordinary personal computer (80486DX2 66 MHz) with an additional image processing card (PCVisionplus-512-3-50 frame grabber) was connected to the video signal output of the scanner. With this system, the consecutive cross-sections in the transverse plane with 4 mm intersection distance were stored on hard disk and processed off line to obtain the prostate volume automatically (Aarnink et al 1994).…”

Section: Methodsmentioning

confidence: 99%

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Planimetric volumetry of the prostate: how accurate is it?

et al. 1995

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A bstract. Planimetrie volumetry is used in clinical practice when accurate volume determination of the prostate is needed. The prostate volume is determined by discretization of the 3D prostate shape. The area of the prostate is calculated in consecutive ultrasonographic cross-sections. This area is multiplied by the distance between the cross-sections and the total volume is determined by summation of al! contributions. Besides the quality of the automated outlining, the accuracy of this method depends on this intersection distance and on the angle of the scan plane with the probe. Also, the location of the first cross-section is of influence. This paper describes the influences of these parameters on the accuracy of the volume determination using a simple prostate model. This theoretical influence is compared to clinical volume determinations using automated planimetrìe volumetry with different step sizes. From our data, it is concluded that a step size of 4 mm for pianimetric prostate volume determination is a good compromise between investigation time and accuracy in a clinical setting.

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Section: Methodsmentioning

confidence: 99%

“…By performing the outlining on a series of cross-sections automatically, the prostate volume is obtained (Aarnink et al 1994). This automated interpretation of the ultrasonographic cross-sections avoids the errors introduced by human interpretation.…”

Section: R G Aarnink Et Almentioning

confidence: 99%

Planimetric volumetry of the prostate: how accurate is it?

et al. 1995

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“…Chen used classic edge detection methods to detect prostate [3]. Aarnink used a specific edge detection method in conjunction with edge enhancement and edge linkage [4]. Aarnink, introduced another algorithm for detection object contours to determine intensity change in image, i.e.…”

Section: Introductionmentioning

confidence: 99%

Using Wavelet and Bayesian Decision Theory in Real-Time Prostate Volume Measurements

Nia

2013

2013 IEEE International Conference on Systems, Man, and Cybernetics

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Abstract-The volume of prostate is one of the key indicators in the diagnosis and treatment of prostate cancer. This paper presents a novel method to calculate the volume of prostate in MRI images with high accuracy and in real time. In this approach, wavelet transform is used to decompose a MRI image into spatially oriented channels and then decompose each sub-image into 1D signal, by obtaining integral of subimages. Bayesian decision theory is then used to analyze signals and detect the boundaries of prostate. Experimental results show that the proposed method can be implemented in real time and has acceptable accuracy.

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“…Several methods for ultrasonic image segmentation have been proposed in the literature, such as edge based (Aarnink et al, 1994), texture based (Richard & Keen, 1996), active contour based (Hamarneh & Gustavsson, 2000;Akgul et al, 2000), semiautomatic approaches (Ladak et al, 1999;Ladak et al, 2000), and so on. The edge and texture based methods usually cannot provide a high quality segmentation results due to the speckle interference of ultrasonic images.…”

Section: Introductionmentioning

confidence: 99%