1. An improved method is presented for quantifying all the information relating to individual kidney function that is contained in the renogram. 2. From the convolution theorem, functions are derived which are equivalent to the renograms that would be obtained by simultaneous injections of the indicator into each renal artery, fractionated according to renal blood flow. 3. The ‘pulse-input’ ren...

This study aimed to develop a mathematical model for predicting recovery potential of an obstructed kidney with poor function by a noninvasive method. We analyzed a cohort study of 93 patients who suffered from unilateral renal or ureteral stones with hydronephrosis and renography showing an ipsilateral glomerular filtration rate (GFR) <15 ml/min. We recorded clinical parameters, including age,...

Dynamic contrast-enhanced MR renography, analyzed with appropriate tracer kinetic models [1], is a promising technique for the non-invasive assessment of glomerular filtration rate (GFR). Dual-injection measurements, such as before and after administration of an angiotensin-convertingenzyme (ACE) inhibitor, have been proposed as an improved diagnostic marker of renovascular disease [2]. Technic...

About 14 years have passed since Fritzberg et al. developed 99mTc-MAG3 in 1986. The biological properties of this radiopharmaceutical are somewhat different from radioiodine labeled hippurate: it exhibits higher protein binding, slower blood clearance, higher extraction efficiency by tubular cells and larger excretion into the bile than the latter. Nonetheless, it has been widely used as the ag...

1. The spectrum of transit times of sodium o-iodohippurate (Hippuran) through the kidney can be derived from an 131I- (or 123I-) labelled Hippuran renogram by deconvolution. In the rabbit and pig, as has previously been shown in man, the frequency distribution curve for the transit times was bimodal. Since the transit time is likely to be proportional to the nephron length, the area of the firs...

Dynamic MR renography has broad clinical applications, but suffers from respiratory motion that limits analysis and interpretation. Since each examination yields at least 10-20 serial 3D images of the abdomen, manual registration is prohibitively labor-intensive [1]. An effective framework for registration and segmentation is necessary to analyze these data sets. Our purpose was to develop and ...