3-D atlas of the human heart drawn using statistics

"This atlas is a statistical description of how the heart and its components -- such as the ventricles and the atrium -- look," as explained by Corné Hoogendoorn, researcher at the CISTIB centre of the Pompeu Fabra University.

Scientists from this university have managed to create a representation of the average shape of the heart and its variations with images from 138 fully functioning hearts taken using multislice computed tomography. This technique offers three-dimensional and high resolution X-ray.

"In our analysis the population group included 138 people but it could be applied to much larger populations," comments Hoogendoorn. "We demonstrated the feasibility of constructing this type of atlas using many subjects, with an acceptable level of manual parameter tuning, while still providing good numeric results."

To create this cardiac map the researchers have developed a statistical model capable of managing high quantities of information provided by individual images. It can also collect temporary variations, given that the heart is never motionless.

The level of detail and the possibility to extend the atlas give it "an advantage over the majority of cardiac models present to date." This is the case according to the conclusions of the study, which was published in the 'IEEE Transactions on Medical Imaging' journal.

The researchers believe that the study can be applied to medical image processing, especially when segmenting, or in other words, properly differentiating a structure to be analysed from the rest of the image.

"The statistics of the atlas offer a continuous range of exemplary heart shapes, which allows for the comparison of concrete cases as well as the calculation of probabilities of the latter belonging to the modelled population," says Hoogendoorn.

The scientist also outlines that the method can be applied to the images of any other organ or structure. It has the advantage of providing the ability to classify and diagnose healthy shapes and pathologies as well as to differentiate between different illnesses and even establish grading amongst each.

In addition, computational simulations of the heart electrophysiology and mechanics (as well as the mechanics of other organs) can be based on the atlas, which can help to better plan treatment for patients.

This study is one more of others of its kind that highlight the increasing importance of the statistics in biomedical sciences, a mathematic discipline. What is more, 2013 is the International Year of Statistics.