Automated segmentation and detection of increased uptake regions in bone scintigraphy using SPECT/CT images
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ORIGINAL ARTICLE
Automated segmentation and detection of increased uptake regions in bone scintigraphy using SPECT/CT images Masakazu Tsujimoto1 · Atsushi Teramoto2 · Seiichiro Ota3 · Hiroshi Toyama3 · Hiroshi Fujita4 Received: 19 October 2017 / Accepted: 16 January 2018 / Published online: 27 January 2018 © The Japanese Society of Nuclear Medicine 2018
Abstract Purpose To develop a method for automated detection of highly integrated sites in SPECT images using bone information obtained from CT images in bone scintigraphy. Methods Bone regions on CT images were first extracted, and bones were identified by segmenting multiple regions. Next, regions corresponding to the bone regions on SPECT images were extracted based on the bone regions on CT images. Subsequently, increased uptake regions were extracted from the SPECT image using thresholding and three-dimensional labeling. Last, the ratio of increased uptake regions to all bone regions was calculated and expressed as a quantitative index. To verify the efficacy of this method, a basic assessment was performed using phantom and clinical data. Results The results of this analytical method using phantoms created by changing the radioactive concentrations indicated that regions of increased uptake were detected regardless of the radioactive concentration. Assessments using clinical data indicated that detection sensitivity for increased uptake regions was 71% and that the correlation between manual measurements and automated measurements was significant (correlation coefficient 0.868). Conclusion These results suggested that automated detection of increased uptake regions on SPECT images using bone information obtained from CT images would be possible. Keywords Bone scintigraphy · SPECT/CT · Image processing · Bone metastasis
Introduction Bone metastasis can occur in all types of cancer; therefore, during routine care of cancer patients, it is necessary to pay particular attention to signs of bone metastasis to determine the appropriate treatment strategy [1]. Bone scintigraphy has long been used to diagnose bone metastasis. It has a particularly high sensitivity to osteogenic types of cancer, such as * Masakazu Tsujimoto mckz‑t@fujita‑hu.ac.jp 1
Department of Radiology, Fujita Health University Hospital, 1‑98 Dengakugakubo, Kutsukake, Toyoake, Aichi 470‑1192, Japan
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Faculty of Radiological Technology, School of Health Sciences, Fujita Health University, Toyoake, Japan
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Department of Radiology, School of Medicine, Fujita Health University, Toyoake, Japan
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Department of Electrical, Electronic and Computer Engineering, Faculty of Engineering, Gifu University, Gifu, Japan
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prostate and breast cancers, and thus remains an important diagnostic tool [2–6]. Previously, the interpretation of images obtained by bone scintigraphy required whole-body anterior and posterior images which were acquired as two-dimensional (2D) images by projecting the three-dimensional (3D) structure of the bones in each direction. When 2D images ar
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