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Biomedical subjects

K S Nijran

Publications and source records attributed to K S Nijran.

4 recordsLinked to original sources

The anatomy of radioisotope lung scanning.

An appreciation of the appearances of segmental and lobar defects on a lung scan is important for the diagnosis of pulmonary embolism. The appearances of segmental and lobar ventilation defects of known anatomical location have been examined on 81mKr ventilation scans in normal human subjects, utilizing fibreoptic bronchoscopy to place temporary occlusions under direct vision at the orifices of lobar and segmental bronchi. Scans were obtained in the posterior, posterior-oblique and lateral projections. Anterior views were included if the defects could not be adequately visualized on the other views. The completeness of the occlusion and the site and size of each defect could be confirmed by ventilating the segment itself with 81mKr via the balloon catheter while the occlusion was maintained. Segmental defects located anterior to the hilum of the lung tended to be optimally visualized on the lateral view and defects located posterior to the hilum tended to be optimally visualized on the posterior-oblique view. The size of segmental defects could be underestimated on the lung scan, especially those involving the anterior and lateral basal segments of both lower lobes. Defects involving the medial basal segment of the right lower lobe were undetectable on any view. By implication, the same conclusions apply to 99mTc perfusion scans.

Adult

Factor analysis of dynamic function studies using a priori physiological information.

The computation of physiological factors and factor images by factor analysis in dynamic structures using the constraints of positive factors and spatial distribution of these factors (FADS), currently used by a number of research workers, is investigated. While the positivity constraints used may be quite acceptable physically, they cannot be strictly said to have direct correlations with the underlying physiological mechanisms in a dynamic study. In principle, FADS estimates the underlying model in the absence of a priori physiological information, and therefore, it is possible that in some situations an incorrect model is extracted. A procedure called IBFADS (information-based factor analysis in dynamic structures) is described which incorporates the IM (intersection method) technique previously developed into FADS, in order to reduce the error in the estimation of the correct model. IM uses a constraint based on physiology of one of the dynamic structures in the model. A computer simulated dynamic phantom study is used to demonstrate IBFADS.

Computer Simulation

A completely automatic method of processing 131I-labelled Rose Bengal dynamic liver studies.

A completely automatic method of measuring Rose Bengal uptake by the liver, expressed in terms of the half-time T1/2, is described. There is no requirement to construct time-activity curves with blood background activity correction as in the conventional regions-of-interest method. All the dixels in the image of a study are used in the actual data analysis. The method is therefore independent of operator influence. The intersection method is offered as an alternative to the manual method. The intersection method uses principal components analysis as a first step in the computation of the intersection of a theory space and a study space. A simple exponential function is used to generate the liver theory space. Sixty 131I Rose Bengal liver function studies were processed by the intersection method. The first forty minutes of patient data were used in the analysis. To validate the new method, computed T1/2 values were compared with those obtained by the manual method. A standard statistical test showed no significant difference between the two methods. Regression analysis gave a value for the coefficient of correlation of 0.89. The intersection method is currently in routine use for the automatic analysis of Rose Bengal liver studies and is faster than the manual method.

Autoanalysis

Towards automatic analysis of dynamic radionuclide studies using principal-components factor analysis.

A method is proposed for automatic analysis of dynamic radionuclide studies using the mathematical technique of principal-components factor analysis. This method is considered as a possible alternative to the conventional manual regions-of-interest method widely used. The method emphasises the importance of introducing a priori information into the analysis about the physiology of at least one of the functional structures in a study. Information is added by using suitable mathematical models to describe the underlying physiological processes. A single physiological factor is extracted representing the particular dynamic structure of interest. Two spaces "study space, S' and "theory space, T' are defined in the formation of the concept of intersection of spaces. A one-dimensional intersection space is computed. An example from a dynamic 99Tcm DTPA kidney study is used to demonstrate the principle inherent in the method proposed. The method requires no correction for the blood background activity, necessary when processing by the manual method. The careful isolation of the kidney by means of region of interest is not required. The method is therefore less prone to operator influence and can be automated.

Humans