Annals of Nuclear Medicine

, Volume 32, Issue 3, pp 182–190 | Cite as

Automated segmentation and detection of increased uptake regions in bone scintigraphy using SPECT/CT images

  • Masakazu Tsujimoto
  • Atsushi Teramoto
  • Seiichiro Ota
  • Hiroshi Toyama
  • Hiroshi Fujita
Original Article



To develop a method for automated detection of highly integrated sites in SPECT images using bone information obtained from CT images in bone scintigraphy.


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.


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).


These results suggested that automated detection of increased uptake regions on SPECT images using bone information obtained from CT images would be possible.


Bone scintigraphy SPECT/CT Image processing Bone metastasis 



The authors are grateful to Yoshihiro Ida, who provided various advices on the material of the bone phantom. This research was supported in part by a Grant-in-Aid for Scientific Research on Innovative Areas (Grant No. 26108005), MEXT, Japan.


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Copyright information

© The Japanese Society of Nuclear Medicine 2018

Authors and Affiliations

  1. 1.Department of RadiologyFujita Health University HospitalToyoakeJapan
  2. 2.Faculty of Radiological Technology, School of Health SciencesFujita Health UniversityToyoakeJapan
  3. 3.Department of Radiology, School of MedicineFujita Health UniversityToyoakeJapan
  4. 4.Department of Electrical, Electronic and Computer Engineering, Faculty of EngineeringGifu UniversityGifuJapan

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