亨氏单位(英语:Hounsfield unit缩写HU),为亨氏量表Hounsfield scale阻射率英语Radiodensity的数量尺度单位,命名自X射线电脑断层扫描的发明人高弗雷·豪斯费尔德Godfrey Newbold Hounsfield)。亨氏单位常用于X射线电脑断层扫描,因此又称为CT值CT number)。

定义

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亨氏单位为其所测量之介质的线性衰减系数线性映射,其定义将蒸馏水空气标准温度与标准压力下的阻射率英语Radiodensity分别设为0 HU和-1,000 HU。因此,在线性衰减系数介于平均值间的体素中,其亨氏单位为:[1]

 

其中  分别为空气线性衰减系数[2]

由于空气的线性衰减系数趋近于0,一个HU的变化相当于水线性衰减系数0.1%的变化。[2]

原理

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由于X射线电脑断层扫描的功能在于将生物(主要是陆上生物,如人类)的体内结构成像化,因此采纳上述标准作为所有介质的参照依据。[2]

人体内各介质的亨氏单位值

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亨氏单位仅适用于常见的双能电脑断层扫描(dual-energy CT scan),而不适用于锥状射束电脑断层扫描(cone beam CT scan)。[3]

介质 亨氏单位
空气 −1,000
脂肪 −120至−90[4]
造影剂电脑断层扫描英语Contrast CT下的软组织 +100至+300
骨骼 松质骨 +300至+400[5]
密质骨 +1,800至+1,900[5]
头部外伤 前数小时 +75至+100[6]
3日后 +65至+85[6]
10-14日后 +35至+40[7]
其他血液 非凝血 +13[8]至+50[9]
凝血 +50[10]至+75[8][10]
胸腔积液 漏出液英语Transudate +2至+15 [11]
渗出液 +4至+33[11]
其他体液 乳糜 −30[12]
0
尿液 −5至+15[4]
胆汁 −5至+15[4]
脑脊液 +15
脓疡/ 0[13]至+20[14] 或 +40[14]至+45[13]
黏液 0[15] - 130[16](超过70HU时进入高衰减)[17][18]
薄壁组织 −700至−600[19]
+20至+45[4]
60 ± 6[20]
淋巴结 +10至+20[21]
肌肉 +35至+55[4]
胸腺 +20至+40(儿童)[22]
+20至+120(成人)[22]
白质 +20至+30
灰质 +37至+45
胆结石 胆固醇石 +30至+100[23]
色素性胆结石 +90至+120[23]
异物英语Foreign body[24] 一般窗户玻璃 +500
沥青、车窗玻璃、玻璃瓶与其他石类 +2,100至+2,300
石灰岩 +2,800
+14,000
+17,000
+20,000
黄铜 +30,000(可测量之上限)
耳垢 <0

亨氏单位常用于辨识肿瘤,以肾上腺腺瘤英语Adrenal adenoma为例,当该肿瘤的阻射率英语Radiodensity小于10 HU,则其脂肪成分偏高,代表该肿瘤有较大几率为良性肿瘤[25]

参见

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参考资料

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  1. ^ Lev, Michael; Gonzalez, Rodolfo. CT Angiography and CT Perfusion Imaging. ScienceDirect. 2002 [2020-12-20]. (原始内容存档于2020-11-12) (英语). 
  2. ^ 2.0 2.1 2.2 DenOtter, Tami; Schubert, Johanna. Hounsfield Unit. 美国国家卫生院. 2020-05-11 [2020-12-20]. (原始内容存档于2021-12-06) (英语). 
  3. ^ De Vos, W.; Casselman, J.; Swennen, G.R.J. Cone-beam computerized tomography (CBCT) imaging of the oral and maxillofacial region: A systematic review of the literature. International Journal of Oral and Maxillofacial Surgery. 2009-06, 38 (6): 609–625. PMID 19464146. doi:10.1016/j.ijom.2009.02.028. 
  4. ^ 4.0 4.1 4.2 4.3 4.4 Page 83 in: Herbert Lepor. Prostatic Diseases. W.B. Saunders Company. 2000. ISBN 9780721674162. 
  5. ^ 5.0 5.1 Birur, NPraveen; Patrick, Sanjana; Gurushanth, Keerthi; Raghavan, AShubhasini; Gurudath, Shubha. Comparison of gray values of cone-beam computed tomography with hounsfield units of multislice computed tomography: An in vitro study. Indian Journal of Dental Research. 2017年, 28 (1): 66–70. ISSN 0970-9290. PMID 28393820. doi:10.4103/ijdr.IJDR_415_16. 
  6. ^ 6.0 6.1 Fig 3 in: Rao, Murali Gundu. Dating of Early Subdural Haematoma: A Correlative Clinico-Radiological Study. Journal of Clinical and Diagnostic Research. 2016, 10 (4): HC01–5. ISSN 2249-782X. PMC 4866129 . PMID 27190831. doi:10.7860/JCDR/2016/17207.7644. 
  7. ^ Dr Rohit Sharma; A.Prof Frank Gaillard. Subdural haemorrhage. Radiopaedia. [2018-08-14]. (原始内容存档于2011-03-23). 
  8. ^ 8.0 8.1 Page 263 in: Robert Fosbinder; Denise Orth. Essentials of Radiologic Science. Lippincott Williams & Wilkins. 2011. ISBN 9780781775540. 
  9. ^ page 20.17 in: F W Wright. Radiology of the Chest and Related Conditions. CRC Press. 2001. ISBN 9780415281416. 
  10. ^ 10.0 10.1 page 17 in: Dr. Avital Fast; Dorith Goldsher. Navigating the Adult Spine: Bridging Clinical Practice and Neuroradiology. Demos Medical Publishing. 2006. ISBN 9781934559741. 
  11. ^ 11.0 11.1 Cullu, Nesat; Kalemci, Serdar; Karakas, Omer; Eser, Irfan; Yalcin, Funda; Boyaci, Fatma Nurefsan; Karakas, Ekrem. Efficacy of CT in diagnosis of transudates and exudates in patients with pleural effusion. Diagnostic and Interventional Radiology. 2013, 20 (2): 116–20. ISSN 1305-3825. PMC 4463296 . PMID 24100060. doi:10.5152/dir.2013.13066. 
  12. ^ Page 342 in: Luca Saba; Jasjit S. Suri. Multi-Detector CT Imaging: Principles, Head, Neck, and Vascular Systems, Volume 1. CRC Press. 2013. ISBN 9781439893845. 
  13. ^ 13.0 13.1 P. Sanchez de Medina Alba; C. Santos Montón; N. Calvo; K. El Karzazi; T. González de la Huebra Labrador; R. Corrales; N. Alegre Borge; Salamanca/ES. Liver abscesses: where do they come from?A review of the main types of liver abscesses and the correlation between their causes and the radiologic findings. ECR 2014. 2014 [2020-12-17]. doi:10.1594/ecr2014/C-1927. (原始内容存档于2019-01-12). 
  14. ^ 14.0 14.1 Sasaki, Toru; Miyata, Rie; Hatai, Yoshiho; Makita, Kohzoh; Tsunoda, Koichi. Hounsfield unit values of retropharyngeal abscess-like lesions seen in Kawasaki disease. Acta Oto-Laryngologica. 2014, 134 (4): 437–440. ISSN 0001-6489. PMID 24512428. doi:10.3109/00016489.2013.878475. 
  15. ^ K SAGGAR, A AHLUWALIA; P SANDHU, V KALIA. Mucocoele Of The Appendix (PDF). Ind J Radiol Imag. 2006, 16 (2). [失效链接]
  16. ^ Gaeta, Michele; Vinci, Sergio; Minutoli, Fabio; Mazziotti, Silvio; Ascenti, Giorgio; Salamone, Ignazio; Lamberto, Salvatore; Blandino, Alfredo. CT and MRI findings of mucin-containing tumors and pseudotumors of the thorax: pictorial review. European Radiology. 2001, 12 (1): 181–189. ISSN 0938-7994. PMID 11868096. doi:10.1007/s003300100934. 
  17. ^ Subash S Phuyal; Mandeep Kumar MK Garg; Ritesh R Agarwal; Pankaj P Gupta; Arunaloke A Chakrabarti; Manavjit Singh MS Sandhu; Niranjan N Khandelwal. High-Attenuation Mucus Impaction in Patients With Allergic Bronchopulmonary Aspergillosis: Objective Criteria on High-Resolution Computed Tomography and Correlation With Serologic Parameters. Current Problems in Diagnostic Radiology. 2015-09-02. 
  18. ^ Agarwal, Ritesh; Sehgal, Inderpaul Singh; Dhooria, Sahajal; Aggarwal, Ashutosh. Radiologic Criteria for the Diagnosis of High-Attenuation Mucus in Allergic Bronchopulmonary Aspergillosis. Chest. 2016, 149 (4): 1109–1110. ISSN 0012-3692. PMID 27055707. doi:10.1016/j.chest.2015.12.043. 
  19. ^ Page 379 in: Ella A. Kazerooni; Barry H. Gross. Cardiopulmonary Imaging 4. Lippincott Williams & Wilkins. 2004. ISBN 9780781736558. 
  20. ^ page 210 in: Erwin Kuntz; Hans-Dieter Kuntz. Hepatology, Principles and Practice: History, Morphology, Biochemistry, Diagnostics, Clinic, Therapy. Springer Science & Business Media. 2006. ISBN 9783540289777. 
  21. ^ Page 58 in: G. Maatman. High-Resolution Computed Tomography of the Paranasal Sinuses and Pharynx and Related Regions: Impact of CT identification on diagnosis and patient management. Volume 12 of Series in Radiology. Springer Science & Business Media. 2012. ISBN 9789400942776. 
  22. ^ 22.0 22.1 Page 488页面存档备份,存于互联网档案馆) in: Jean-Claude Givel; Marco Merlini; David B. Clarke; Michael Dusmet. Surgery of the Thymus: Pathology, Associated Disorders and Surgical Technique. Springer Science & Business Media. 2012. ISBN 9783642710766. 
  23. ^ 23.0 23.1 Rambow A, Staritz M, Wosiewitz U, Mildenburger P, Thelen M, Meyer zum Büschenfelde KH. Analysis of radiolucent gallstones by computed tomography for in vivo estimation of stone components. Eur J Clin Invest. 1990, 20 (4): 475–8. PMID 2121509. doi:10.1111/j.1365-2362.1990.tb01887.x. 
  24. ^ Bolliger, Stephan A.; Oesterhelweg, Lars; Spendlove, Danny; Ross, Steffen; Thali, Michael J. Is Differentiation of Frequently Encountered Foreign Bodies in Corpses Possible by Hounsfield Density Measurement?. Journal of Forensic Sciences. 2009, 54 (5): 1119–1122. ISSN 0022-1198. PMID 19627414. doi:10.1111/j.1556-4029.2009.01100.x. 
  25. ^ Perry J Horwich. Adrenal Adenoma Imaging. 2011-04-21 [2020-12-19] (英语). 

参考书籍

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  • Feeman, Timothy G. The Mathematics of Medical Imaging: A Beginner's Guide. Springer Undergraduate Texts in Mathematics and Technology. Springer. 2010. ISBN 978-0387927114. 

外部链接

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