Fracture Detection in Traumatic Pelvic CT Images

Abstract

Fracture detection in pelvic bones is vital for patient diagnostic decisions and treatment planning in traumatic pelvic injuries. Manual detection of bone fracture from computed tomography (CT) images is very challenging due to low resolution of the images and the complex pelvic structures. Automated fracture detection from segmented bones can significantly help physicians analyze pelvic CT images and detect the severity of injuries in a very short period. This paper presents an automated hierarchical algorithm for bone fracture detection in pelvic CT scans using adaptive windowing, boundary tracing, and wavelet transform while incorporating anatomical information. Fracture detection is performed on the basis of the results of prior pelvic bone segmentation via our registered active shape model (RASM). The results are promising and show that the method is capable of detecting fractures accurately.

Biomedical Informatics for Computer‐Aided Decision Support Systems: A Survey

“…Davaluri et al proposes an image processing system which uses CT images of patients with pelvic injuries to produce a quantitative and qualitative assessment of detected hemorrhaging [38]. Similarly, Wu's work on developing a computer-assisted fracture detection system automatically processes several CT slices of pelvic injury patients to identify and quantify potential fractures [39]. …”

Artificial Intelligence in Musculoskeletal Imaging: A Paradigm Shift

“…One such system automatically detected acute traumatic fractures of thoracic and lumbar vertebral bodies on CT (24,53,54) (Fig. (55,56) Radiologists may overlook spine compression fractures if they do not routinely review sagittal midline images on body CT. (57) In response, a system was designed for the automated detection and localization of thoracic and lumbar vertebral body compression fractures on CT. The sensitivity for detection of fractures within each vertebra was 81%, with a false-positive rate of 2.7 per patient in the test-set patients.…”

“…Acute pelvic fractures can also be automatically detected. (55,56) Radiologists may overlook spine compression fractures if they do not routinely review sagittal midline images on body CT. (57) In response, a system was designed for the automated detection and localization of thoracic and lumbar vertebral body compression fractures on CT. In addition to detection, the system determined Genant classification of the fractures (26,58) (Fig.…”

Enhancing Visual Diagnosis of X-Ray Images by the Method of Selective Dilation

“…Many researches are going on with X-Ray images on different applications referred from [1] and [2]. There are more recent attempts to detect cracks by image segmentation referred from [3] and [4]. A fracture results in producing an isolated region not completely filled with calcium and thus partially permeable to X-Rays, characterized by black regions on the radiograph.…”