Volumetric measurement of brain structure on brain images is regarded as a gold standard, yet is very time consuming. We wondered whether simple linear and area measurements might be as accurate and reproducible. Two observers independently measured the cross-sectional area of the corpus callosum, lentiform and caudate nuclei, thalamus, amygdalas, hippocampi, lateral and third ventricles, and the width of the sylvian and frontal interhemispheric fissures and brain stem on brain MRI of 55 patients using a program written in-house; one observer also measured the volumes of the basal ganglia, amygdalo-hippocampal complex and ventricular system using Analyze, and performed qualitative assessment of four regions (lateral and third ventricles, cortex, and medial temporal lobe) using the Lieberman score. All measures were performed blinded to all other information. Test objects of known size were also imaged with MRI and measured by the two observers using the in-house program. The true sizes of the test objects were measured using engineering calipers by two observers blind to the MRI results. Differences between the two observers using the same measurement method, and one observer using different methods, were calculated. The simple linear and cross-sectional area measurements were rapid (20 min versus 5 h for volumetric); were highly accurate for test-object measurement versus true size; had excellent intraobserver reliability; and, for most brain structures, the simple measures correlated highly significantly with volumetric measures. The simple measures were in general highly reproducible, the difference (as a percentage of the area or width of a region) between the two raters being around 10%, range 0.1%-14.1%, (similar to inter-rater variability in previous studies of volume measurements). The simple linear and area measures are reproducible and correlate well with the measured volumes, and there is a considerable time saving with the former. In circumstances where a large volume of work precludes detailed volume measurement, simple methods are reliable and can be used instead.