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Dive into the research topics where M. Kassam is active.

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Featured researches published by M. Kassam.


Ultrasound in Medicine and Biology | 1984

Comparative study of four methods for quantifying doppler ultrasound waveforms from the femoral artery

K.W. Johnston; M. Kassam; J. Koers; Richard S. C. Cobbold; D. MacHattie

Currently, there is no agreement as to the best method for quantifying Doppler ultrasound recordings from peripheral arteries in order to detect occlusive disease. The four methods assessed in this study are: the pulsatility index, height-width index, path length index, and a Laplace transform function index. Recordings of the Doppler ultrasound spectral waveforms from the common femoral artery of 232 limbs were digitized to obtain the maximum velocity waveforms. This data was analyzed and the various indices were computed and then compared with the arteriographic grades. The effect of distal disease was also examined. The diagnostic accuracy of each index was determined from receiver operating characteristics curves. We concluded that all four indices were capable of detecting significant aortoiliac disease with approximately equal diagnostic accuracy of 90-95% but that pulsatility index had the advantages of simplicity and ease of calculation.


Ultrasound in Medicine and Biology | 1982

A critical study of ultrasound Doppler spectral analysis for detecting carotid disease

Peter Brown; K.W. Johnston; M. Kassam; Richard S. C. Cobbold

The results of in vitro and in vivo studies to determine the application and limitations of frequency analysis for CW Doppler ultrasound assessment of carotid stenoses are reported. In the in vitro study, the peak Doppler frequency and a new spectral broadening index were determined proximal to, at, and distal to axisymmetric and asymmetrical model stenoses. Good correlations with percent area stenoses were found. In the clinical study, 162 cases were examined using a 4 MHz Doppler system and by standard four-vessel arteriography. Peak frequencies of greater than 3.8 KHz were diagnostic of internal carotid stenoses of 3.2 mm minimum lumen diameter or less, with a sensitivity of 92% and a specificity of 94%. Spectral broadening, evaluated by subjective grading, yielded similar results.


Ultrasound in Medicine and Biology | 1983

An in vitro model and its application for the study of carotid Doppler spectral broadening.

Y. Douville; K.W. Johnston; M. Kassam; P. Zuech; Richard S. C. Cobbold; A. Jares

A new in vitro model has been developed for studying the changes in the ultrasound Doppler spectrum that occur in the region of a stenosis. Pulsatile flow in rigid acrylic tubes was produced by means of a modified hemodialysis pump. The Doppler spectral waveforms were measured using a continuous wave Doppler system, a probe of a known field pattern, a real-time high resolution frequency analyzer, and a video display and recording system. The flow velocity waveforms were found to be nearly identical to those seen in the human carotid. Measurements were made to determine the critical stenosis and the results are similar to those reported from in vivo studies. In a preliminary study, the extent of spectral broadening was found to be dependent on the recording site in relation to the stenosis, the severity of the stenosis, and the flow rate. Using qualitative methods it was not possible to determine either the influence of the shape of the stenosis or the phase of the cardiac cycle on spectral broadening.


Ultrasound in Medicine and Biology | 1985

In vitro comparison of alternative methods for quantifying the severity of doppler spectral broadening for the diagnosis of carotid arterial occlusive disease

P.G. Kalman; K.W. Johnston; P. Zuech; M. Kassam; K. Poots

Quantitative analysis of continuous wave Doppler recordings is of clinical value in the noninvasive diagnosis of carotid arterial disease. Peak frequency measurements are useful and accurately detect severe stenoses but do not reliably diagnose minor or moderate stenoses because the measurement is dependent upon the probe to vessel angle, which cannot be measured accurately. Recent investigations have focused on efforts to overcome this limitation by quantifying the degree of spectral broadening that occurs as the result of flow disturbances downstream from a stenosis. In this study, an in vitro model was used to determine the optimum method for quantifying the instantaneous Doppler spectrum. The model generates blood flow velocity waveforms that are virtually identical to those found in the human internal carotid artery. Doppler recordings were made from normal tubes and distal to stenoses (39-87% cross-sectional area reduction). The spectra were quantified by the following angle-independent measurements: spectral broadening index and three standard statistical shape descriptors, namely the coefficients of variation, skewedness and kurtosis. Using this model, the results demonstrate an excellent relationship between the severity of the stenosis and each of spectral broadening index (r = 0.99), coefficient of variation (r = 0.96), and coefficient of skewedness (r = 0.99). The calculation of each of the measurements can be implemented quite easily, and a prospective trial is warranted to evaluate their clinical diagnostic accuracy.


Ultrasound in Medicine and Biology | 1982

Method for estimating the Doppler mean velocity waveform

M. Kassam; Richard S. C. Cobbold; K.W. Johnston; C.M. Graham

Abstract Practical aspects of a method for estimating the mean velocity waveform for a CW ultrasound system are described. The method, based on the technique proposed by Gerzberg and Meindl (1977), generates an analog mean signal for both forward and reverse flow with an accuracy of better than ± 5%. Application of the circuit for arterial assessment are presented, and its potential use for determining carotid spectral broadening is considered.


Ultrasound in Medicine and Biology | 1985

DETERMINATION OF THE HEMODYNAMIC FACTORS WHICH INFLUENCE THE CAROTID DOPPLER SPECTRAL BROADENING

Y. Douville; K.W. Johnston; M. Kassam

In the diagnosis of extracranial carotid arterial disease, quantitative measurements from the continuous wave (CW) Doppler spectrum have the potential for detecting stenoses and occlusions. The measurement of maximum peak Doppler frequency at the site of stenosis has been shown to detect severe, but not minor or moderate, stenoses. Diagnosis of minor or moderate stenoses may be possible by assessing the degree of flow disturbance beyond the stenosis. Such flow disturbances cause the Doppler spectrum at peak systole to be broadened, and it has been suggested that the measurement of spectral broadening may be of diagnostic value. This paper describes the results of an in vitro study aimed at determining the hemodynamic factors that influence the severity of the Doppler spectral broadening. The spectral broadening index (SBI) at peak systole, defined as SBI = 1 - Fmean/Fmax, was used to quantify the instantaneous spectrum. In a pulsatile flow in vitro model that produced spectral waveforms virtually identical to those recorded in the human carotid, we observed a direct linear relationship between SBI and the severity of stenosis, at least for those stenoses having greater than 40% cross-sectional area (R = 0.82 to 0.93). The SBI was found to be maximum when recorded immediately beyond the stenosis and returned to normal 4-5 cm downstream from the stenosis. The SBI was higher for nonsymmetrically shaped stenoses than for symmetrical stenoses for lesions greater than 60%, but not for stenoses less than 60%. In this model, the SBI recorded from both normal or abnormal waveforms was not affected by the flow rate.(ABSTRACT TRUNCATED AT 250 WORDS)


Ultrasound in Medicine and Biology | 1986

Comparison of CW Doppler ultrasound spectra with the spectra derived from a flow visualization model.

J.K. Poots; K.W. Johnston; Richard S. C. Cobbold; M. Kassam

The methods and results of a study to determine the accuracy of continuous wave (CW) Doppler spectral recordings by comparison to the spectra derived from the flow profiles photographed simultaneously in a pulsatile flow visualization model are reported in this paper. A pulsatile pump produced a flow velocity waveform, similar to that seen in the human femoral artery, in a quartz glass tube. The velocity profiles, which were made visible by using a photochromic dye/laser technique, were photographed, and at the same time the instantaneous Doppler spectra were recorded. A comparison of the Doppler data and the photographed profiles gave the following results. The Doppler spectrograms and those reconstructed from the flow visualization data were quite similar. Excellent agreement was observed between the instantaneous maximum and mean Doppler waveforms. Individual spectra showed some differences and these differences were quantified by the novel application of certain statistical shape descriptor coefficients that are based on the estimation of the higher order moments of the spectra. The Doppler spectra are generally more skewed towards higher frequencies, narrower, and more peaked than the flow visualization spectra. Analysis of the assumptions and various sources of error lead to the conclusion that the differences were probably caused by ultrasound beam nonuniformity and the effects of refraction, causing a reduction of the beam field response at the tube edges. It is concluded that provided certain precautions are taken in the measurement technique, the CW Doppler ultrasound spectra fairly accurately represent the true velocity profile.


Medical & Biological Engineering & Computing | 1982

Online identifying and quantifying Doppler ultrasound waveforms

K.W. Johnston; M. Kassam; Richard S. C. Cobbold

A microcomputer-based system is described for automatically identifying and quantifying the maximum peripheral arterial velocity waveforms obtained with a Doppler ultrasound spectrum analyser. A waveform identification algorithm is used to determine the beginning and end points of each waveform without the use of an e.c.g. trigger. A second algorithm calculates the pulsatility index. Experience in the use of these algorithms over a two-year period on 2500 patients is discussed. On 400 consecutive normal and abnormal recordings, wareform identification was 96% correct.


Ultrasound in Medicine and Biology | 1985

Quantitative estimation of spectral broadening for the diagnosis of carotid arterial disease: method and in vitro results.

M. Kassam; K.W. Johnston; Richard S. C. Cobbold

For the quantitative assessment of carotid arterial disease using continuous wave Doppler ultrasound, the choice of an index to describe the degree of spectral broadening is important. It is shown that a spectral broadening index (SBI) given by 100(1 - fmean/fmax) and evaluated over a 25 msec period around peak systole is relatively insensitive to artifacts and has potential for achieving good clinical sensitivity. Furthermore, it can be implemented very simply on a microcomputer for on-line display. A description of a microcomputer based system, together with the results obtained using an in vitro flow model that closely approximates the carotid flow velocity waveform, are presented. Results relating the SBI to the degree of stenosis, recording site, and angle of insonation, are given. In addition, the results obtained with a commercial system that computes SBI based on the power spectrum, are presented for comparison.


Ultrasound in Medicine and Biology | 1982

The application of CCD transversal filters for real-time spectral analysis of Doppler ultrasound arterial signals

P. Zuech; Richard S. C. Cobbold; M. Kassam; K.W. Johnston

A method of Doppler spectral analysis, based on the use of charge-coupled device (CCD) transversal filters, is described in this paper. A brief discussion of current methods of real-time spectral analysis is included, followed by a review of the theoretical basis of CCD spectral analysis. The system is detailed and the results of performance and clinical tests are presented. Carotid artery Doppler waveforms produced using the analyser illustrate the effects of flow abnormalities on the blood flow velocity waveform.

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P. Zuech

University of Toronto

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K. Poots

University of Toronto

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A. Jares

University of Toronto

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C.W. Lau

University of Toronto

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J. Koers

University of Toronto

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