Details

Autor(en) / Beteiligte

• Arabi, Punal M.
• Joshi, Gayatri
• Dhatri
• Reddy, Rohith N.

Titel

Categorizing healthy, osteopenic andosteoporotic bones by white pixel calculation

Ist Teil von

• 2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT), 2017, p.1-4

Ort / Verlag

IEEE

Erscheinungsjahr

2017

Quelle

IEEE Electronic Library (IEL)

Beschreibungen/Notizen

• Osteoporosis is a state of disease characterized by a degradation of bone mass and bone strength. About 200 million people are affected by Osteoporosis annually worldwide. There are several bone diseases that cause abnormalities of bone such as osteoporosis, rickets, osteomalacia, osteogenesisimperfecta, osteoporosis, fibrous dysplasia etc. Early diagnosis of osteoporosis is very essential and mandatory in current scenario. Life span and its quality can be increased with early diagnosis of osteoporosis. Various methods have been implemented to diagnose osteoporosis by measuring bone mineral density (BMD) of patients. These days Computer Aided Diagnostic (CAD) systems are used to detect osteoporosis more efficiently. This paper proposes a method to categorize healthy, osteopenia and osteoporosis bones based on white pixel calculation. This method is experimented on fifteen bone images as three in each category. The results obtained show that the number of white pixels for healthy femur bone is more than for osteopenic and osteoporotic femur bone. From the results obtained by the proposed method it is seen that there is a definite possibility of categorizing healthy and affected bones.