Suspension pipe flows can exhibit a behaviour called core-peaking where the particles accumulate in the centre of the pipe. This is due to shear-induced migration, where particles migrate towards areas of the flow with lower shear rate. While this concept is well documented, the exact causes are still unknown. Experimental research can uncover how this behaviour is impacted by different flow properties. This knowledge can be used to predict whether a given system will display core peaking behaviour. Knowing this a priori is convenient, as core peaking can impact the pressure drop in the pipe flow significantly. This thesis investigates the applicability of an experimental method that uses light attenuation to measure volume fraction distributions in a suspension pipe flow. Investigating this method is worthwhile as it is relatively quick and affordable compared to other methods like MRI. The theoretical relationship between the concentration of a substance and the attenuation of light is given by the Beer-Lambert law. However, this linear law does not hold for dense suspensions. To account for this, a set of calibration experiments was done in a setup where the path length was varied consistently. The results give a relationship between the attenuation and the amount of particles, expressed as the product of the volume fraction and the path length. This relationship is initially linear before it transitions to a cube root function for higher particle loadings. This change is thought to be due to multiple scattering becoming more prominent when more particles are present. The found calibration curve was then applied to attenuation measurements that were done in a pipe flow setup. However, the resulting volume fractions deviate significantly from the values expected based on the known amount of particles in the flows. This deviation suggests that there are significant differences between these pipe flow experiments and the calibration experiments that cause a difference in the measured attenuation for the same particle loadings. The volume fraction distributions that were found are thus not quantitatively correct, but by comparing them, the accuracy of this method can still be defined. Because the behaviour in the pipe flow is axisymmetric, the radial volume fraction distributions can be found from a single measured projection with the inverse Abel transform. However, the measured attenuation profiles were not symmetric. This means that the resulting radial volume fraction profiles are not actual representations of the real volume fraction distributions. This also means that the current data cannot be used to study particle migration in detail. Nevertheless, the accuracy of the method can be determined by looking a the measured attenuation profiles directly. Even at small path lengths, a difference of 1% in volume fraction was measured successfully. This proves that the proposed experimental method is in theory accurate enough to be used to measure volume fraction distributions in suspension pipe flows. To apply this method successfully, the identified improvements to the experimental setup and processing will need to be implemented. Additional research will be necessary to verify if these improvements are sufficient.