QUANTITATIVE ANALYSISOF IMAGING DATA

An Academic presentation by

Dr. Nancy Agnes, Head, Technical Operations, Statswork Group  www.statswork.comEmail: info@statswork.com

Outline

TODAY'S DISCUSSION

INTRODUCTION

CONCLUSION

Quantitative imaging (QI) is becoming more widely used in modern radiology, aiding inthe clinical evaluation of a wide range of patients and giving biomarkers for variousillnesses.

QI is frequently used to help with patient diagnosis or prognosis, therapy selection, andtherapy response monitoring.

Because most radiologists will likely utilise specific QI tools to fulfil their referringphysicians' patient care requirements, all radiologists must understand the benefits andlimits of QI.

Digital pictures are used to offer data and information in quantitative image analysis.

Due to the vast quantity of information created and gathered, this is done with computertechnology to detect patterns, construct maps, and analyze signals inside images thatcannot be done with the human eye.

INTRODUCTION

Quantitative image analysis may be done in various ways, including medical scanning, object detection, and three-dimensional modeling.

Individuals with computer engineering, computer vision, and image analysis understand how to utilize technologyto evaluate data conduct the procedures.

Quantitative image analysis is used because certain types of pictures are difficult to evaluate without technologyassistance. For example, in some medical areas, pictures can be utilized to discover information about what isgoing on within a person's body that would usually only be discovered through a surgical operation.

Quantitative image analysis is used in security to identify people's faces and aid in the elimination of securityhazards.

Several other uses of quantitative image analysis can be helpful in various circumstances and for locating varioussorts of data.

Medical image analysis is usually carried out systematically, including phases for both quantitative measurementsand abstract interpretation of biological pictures (Figure 1).

Figure 1. Medical image analysis procedure

The data obtained from pictures is evaluated using advanced statistical and modeling approaches depending onthe final purpose.

In some cases, a three-dimensional model is required to give information that would otherwise be difficult,expensive, and time-consuming to get.

In other cases, graphs, diagrams, and other quantitative information that might give insight into current patternsare more valuable.

Other approaches include looking at the spatial intensity of pixels in an image to analyze incredibly tiny picturesthat contain much information. Depending on the goal of the study, information is obtained through quantitativeimage analysis using methods such as wavelengths of light, cross-sections of materials, and video.

After the pictures are acquired, computers are used to convert the data into binary code, which may then beexamined further.

Because the computer software is so powerful and technological, images may be readily altered, edited, ortransformed.

Image analysis is done by statisticians, computer scientists, and engineers in avariety of areas. Individuals who work in this field typically have postgraduatedegrees to comprehend the complex computer programming and statisticalapproaches required to make sense of the massive amounts of data.

Quantitative image analysis is a discipline that is continuously changing andgrowing as new technology is created.

CONCLUSION

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