A computer tomography assisted method for the automatic detection of region of interest in dynamic kidney images_Journal of Biomedical Engineering

Authors：

JING Xueping ¹ ,  ZHENG Xiujuan ¹ , SONG Shaoli ² , LIU Kai ¹

1. Department of Automation, School of Electrical Engineering and Information, Sichuan University, Chengdu 610065, P.R.China;
2. Department of Nuclear Medicine, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, P.R.China;

Corresponding author：

ZHENG Xiujuan, Email: xiujuanzheng@scu.edu.cn

Keywords：

kidney region of interest; Gates method; level set; edge indicator function; glomerular filtration rate

DOI：

10.7507/1001-5515.201611038

Video：

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Abstract Full text Figures/Tables Video References Cited by

Glomerular filtration rate (GFR), which can be estimated by Gates method with dynamic kidney single photon emission computed tomography (SPECT) imaging, is a key indicator of renal function. In this paper, an automatic computer tomography (CT)-assisted detection method of kidney region of interest (ROI) is proposed to achieve the objective and accurate GFR calculation. In this method, the CT coronal projection image and the enhanced SPECT synthetic image are firstly generated and registered together. Then, the kidney ROIs are delineated using a modified level set algorithm. Meanwhile, the background ROIs are also obtained based on the kidney ROIs. Finally, the value of GFR is calculated via Gates method. Comparing with the clinical data, the GFR values estimated by the proposed method were consistent with the clinical reports. This automatic method can improve the accuracy and stability of kidney ROI detection for GFR calculation, especially when the kidney function has been severely damaged.

Citation： JING Xueping, ZHENG Xiujuan, SONG Shaoli, LIU Kai. A computer tomography assisted method for the automatic detection of region of interest in dynamic kidney images. Journal of Biomedical Engineering, 2017, 34(6): 928-933. doi: 10.7507/1001-5515.201611038 Copy

1.	Zhang Luxia, Wang Fang, Wang Li, et al. Prevalence of chronic kidney disease in China: a cross-sectional survey. Lancet, 2012, 379(9818): 815-822.
2.	Gates G F. Glomerular filtration rate: estimation from fractional renal accumulation of 99mTc-DTPA (stannous). Am J Roentgenol, 1982, 138(3): 565-570.
3.	Gates G F. Split renal function testing using Tc-99m DTPA. A rapid technique for determining differential glomerular filtration. Clin Nucl Med, 1983, 8(9): 400-407.
4.	Tomaru Y, Inoue T, Oriuchi N, et al. Semi-automated renal region of interest selection method using the double-threshold technique: inter-operator variability in quantitating 99mTc-MAG3 renal uptake. Eur J Nucl Med Mol Imaging, 1998, 25(1): 55-59.
5.	Inoue Y, Yoshikawa K, Yoshioka N, et al. Evaluation of renal function with 99mTc-MAG3 using semiautomated regions of interest. J Nucl Med, 2000, 41(12): 1947-1954.
6.	Garcia E V, Folks R, Pak S, et al. Totally automatic definition of renal regions of interest from 99mTc-MAG3 renograms: validation in patients with normal kidneys and in patients with suspected renal obstruction. Nucl Med Commun, 2010, 31(5): 366-374.
7.	Tian Cancan, Zheng Xiujuan, Han Yuan, et al. A semi-automated region of interest detection method in the scintigraphic glomerular filtration rate determination for patients with abnormal low renal function. Clin Nucl Med, 2013, 38(11): 855-862.
8.	殷雷, 王荣福, 闫平. 基于多模态分子影像技术的SPECT/CT在临床中的应用进展. 中国医学装备, 2013, 10(1): 63-65.
9.	Brix G, Nekolla E A, Borowski M, et al. Radiation risk and protection of patients in clinical SPECT/CT. Eur J Nucl Med Mol Imaging, 2014, 41(Suppl 1): S125-S136.
10.	Buck A K, Nekolla S, Ziegler S, et al. SPECT/CT. J Nucl Med, 2009, 49(8): 1305-1319.
11.	Tian Cancan, Huang Qiu, Han Yuan, et al. Validating CT-assisted region of interest acquisition method in 99mTc-DTPA scintigraphy for patients with low renal function. 2012 International Conference on Biomedical Engineering and Biotechnology (iCBEB). Macao, China: IEEE, 2012: 955-958.
12.	Li Chunming, Xu Chenyang, Gui Changfeng, et al. Distance regularized level set evolution and its application to image segmentation. IEEE Trans Image Process, 2010, 19(12): 3243-3254.
13.	张琼敏, 张劲, 王敏堂, 等. 基于增强梯度水平集的头颈部肿瘤分割. 生物医学工程学杂志, 2015, 32(4): 887-891.
14.	陈盛祖. 临床诊疗指南: 核医学分册. 北京: 人民卫生出版社, 2006: 370-372.
15.	杨仪, 刘增礼, 唐军, 等. SPECT/CT直接测量肾脏深度在肾小球滤过率测定中的应用. 中华核医学与分子影像杂志, 2012, 32(4): 255-258.
16.	麻广宇, 邵明哲, 陈云爽, 等. 肾脏深度对SPECT测定肾小球滤过率的影响. 中国医学影像技术, 2013, 29(5): 800-804.

1. Zhang Luxia, Wang Fang, Wang Li, et al. Prevalence of chronic kidney disease in China: a cross-sectional survey. Lancet, 2012, 379(9818): 815-822.
2. Gates G F. Glomerular filtration rate: estimation from fractional renal accumulation of 99mTc-DTPA (stannous). Am J Roentgenol, 1982, 138(3): 565-570.
3. Gates G F. Split renal function testing using Tc-99m DTPA. A rapid technique for determining differential glomerular filtration. Clin Nucl Med, 1983, 8(9): 400-407.
4. Tomaru Y, Inoue T, Oriuchi N, et al. Semi-automated renal region of interest selection method using the double-threshold technique: inter-operator variability in quantitating 99mTc-MAG3 renal uptake. Eur J Nucl Med Mol Imaging, 1998, 25(1): 55-59.
5. Inoue Y, Yoshikawa K, Yoshioka N, et al. Evaluation of renal function with 99mTc-MAG3 using semiautomated regions of interest. J Nucl Med, 2000, 41(12): 1947-1954.
6. Garcia E V, Folks R, Pak S, et al. Totally automatic definition of renal regions of interest from 99mTc-MAG3 renograms: validation in patients with normal kidneys and in patients with suspected renal obstruction. Nucl Med Commun, 2010, 31(5): 366-374.
7. Tian Cancan, Zheng Xiujuan, Han Yuan, et al. A semi-automated region of interest detection method in the scintigraphic glomerular filtration rate determination for patients with abnormal low renal function. Clin Nucl Med, 2013, 38(11): 855-862.
8. 殷雷, 王荣福, 闫平. 基于多模态分子影像技术的SPECT/CT在临床中的应用进展. 中国医学装备, 2013, 10(1): 63-65.
9. Brix G, Nekolla E A, Borowski M, et al. Radiation risk and protection of patients in clinical SPECT/CT. Eur J Nucl Med Mol Imaging, 2014, 41(Suppl 1): S125-S136.
10. Buck A K, Nekolla S, Ziegler S, et al. SPECT/CT. J Nucl Med, 2009, 49(8): 1305-1319.
11. Tian Cancan, Huang Qiu, Han Yuan, et al. Validating CT-assisted region of interest acquisition method in 99mTc-DTPA scintigraphy for patients with low renal function. 2012 International Conference on Biomedical Engineering and Biotechnology (iCBEB). Macao, China: IEEE, 2012: 955-958.
12. Li Chunming, Xu Chenyang, Gui Changfeng, et al. Distance regularized level set evolution and its application to image segmentation. IEEE Trans Image Process, 2010, 19(12): 3243-3254.
13. 张琼敏, 张劲, 王敏堂, 等. 基于增强梯度水平集的头颈部肿瘤分割. 生物医学工程学杂志, 2015, 32(4): 887-891.
14. 陈盛祖. 临床诊疗指南: 核医学分册. 北京: 人民卫生出版社, 2006: 370-372.
15. 杨仪, 刘增礼, 唐军, 等. SPECT/CT直接测量肾脏深度在肾小球滤过率测定中的应用. 中华核医学与分子影像杂志, 2012, 32(4): 255-258.
16. 麻广宇, 邵明哲, 陈云爽, 等. 肾脏深度对SPECT测定肾小球滤过率的影响. 中国医学影像技术, 2013, 29(5): 800-804.

Journal of Biomedical Engineering

A computer tomography assisted method for the automatic detection of region of interest in dynamic kidney images

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