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Xaunsfild shkalasi

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Xaunsfild shkalasi (/ˈhaʊnzfiːld/ HOWNZ-feeld), ser Godfrey Xaunsfild nomi bilan atalgan, radiozichlikni tavsiflovchi miqdoriy oʻlchovdir. Koʻpincha kompyuter tomografiyasida qoʻllanadi va uning qiymati KT raqami deb ham ataladi.

Taʼrif

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Xaunsfild birligi (HB) shkalasi standart bosim va haroratda (STP) distillangan suvning radiozichligi 0 Hounsfild birligi (HB), havoning radiozichligi esa STP da −1000 HB sifatida aniqlanuvchi chiziqli soʻnish koeffitsientini oʻlchashning chiziqli oʻzgarishi hisoblanadi. Oʻrtacha chiziqli soʻnish koeffitsienti vokselda , shuning uchun tegishli HB qiymati quyidagicha aniqlanadi:Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "http://localhost:6011/uz.wikipedia.org/v1/":): {\displaystyle HB = 1000\times\frac{\mu – \mu_{\textrm{suv}}}{\mu_{\textrm{suv}} – \mu_{\textrm{havo}}} } bu yerda va mos ravishda suv va havoning chiziqli suysayish koeffitsientlari.

Shunday qilib, bir Xaunsfild birligining (HB) oʻzgarishi suvning soʻnish koeffitsientining 0,1% oʻzgarishini anglatadi, chunki havoning zaiflashuv koeffitsienti deyarli nolga teng.[1] :259

Standartlashtirilgan javobni taʼminlash uchun suv va boshqa materiallarga nisbatan HB kalibrlash sinovlari amalga oshirilishi mumkin. Bu, ayniqsa, HB elektron zichligiga aylantiriladigan radioterapiyada davolashni rejalashtirishda foydalaniladigan KT tekshiruvi uchun juda muhimdir.[2] Tarkibi maʼlum boʻlgan etalon materiallarining oʻlchangan qiymatlarining oʻzgarishi va boʻlaklar orasidagi va ichidagi oʻzgarishlar sinov jarayonlarining bir qismi sifatida foydalanishi mumkin.[1] :283[3]

Asosiy sabab

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Yuqoridagi standartlar universal maʼlumotnomalar boʻlgani uchun tanlangan va kompyuterli eksenel tomografiya ishlab chiqilgan asosiy dasturga mos keladi: uyushgan suv tuzilmalariga asoslangan va asosan havoda yashovchi tirik mavjudotlarning ichki anatomiyasini tasvirlash, masalan, odamlar .

Visheupomyanutie standarti bili vibrani, poskolku oni yavlyayutsya obщedostupnimi etalonami i podxodyat dlya klyuchevogo prilojeniya, dlya kotorogo bila razrabotana kompyuternaya aksialnaya tomografiya: vizualizatsiya vnutrenney anatomii jivix suщestv, osnovannix na organizovannix vodnix strukturax i v osnovnom jivuщix v vozduxe, t.e. lyudi.

Turli tana toʻqimalari va materiallar uchun qiymatlari

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Oyna darajasi −700 HU (oʻpka) ga oʻrnatilgan koʻkrak qafasining kompyuter tomografiyasi
Oyna darajasi −1000 HU (havo) ga oʻrnatilgan koʻkrak qafasining kompyuter tomografiyasi
Oyna darajasi 0 HU (suv) ga oʻrnatilgan koʻkrak qafasining kompyuter tomografiyasi
Oyna darajasi 60 HU (jigar) ga oʻrnatilgan koʻkrak qafasining kompyuter tomografiyasi

Materialning HU-ga asoslangan differentsiatsiyasi tibbiy darajadagi ikki energiyali KT skanerlari uchun qoʻllanadi, lekin konus nurli kompyuter tomografiyasi (CBCT) skanerlari uchun emas, chunki CBCT skanerlari ishonchsiz HU koʻrsatkichlarini beradi.[4]

Differensiatsiya materiala na osnove HU primenyaetsya k dvuxenergeticheskim KT meditsinskogo urovnya, no ne k skanam konusno-luchevoy kompyuternoy tomografii (KLKT), poskolku skanirovanie KLKT daet nenadejnie pokazaniya HU.

Bu yerda bildirilgan qiymatlar taxminiydir. Bir tadqiqotdan boshqasiga turli dinamikalar haqida xabar beriladi.

Aniq HB dinamikasi KTni olish va qayta qurish parametrlari (kV, filtrlar, rekonstruksiya algoritmlari va boshqalar) tufayli bir KT olishdan boshqasiga oʻzgarishi mumkin. Kontrastli vositalardan foydalanish tananing baʼzi qismlarida (asosan qon) ham HB ni oʻzgartiradi.

Modda HU
Havo −1000
Yog ' −120 dan −90 gacha[5]
Kontrastli KTda yumshoq toʻqimalar +100 dan +300 gacha
Suyak Boʻlakchalari +300 dan +400 gacha[6]
Kortikal +500 dan +1900 gacha[7][6][8]
Subdural gematoma Birinchi soatlar +75 dan +100 gacha[9]
3 kundan keyin +65 dan +85 gacha[9]
10-14 kundan keyin +35 dan +40 gacha[10]
Boshqa qon Ivimagan qon +13[11] dan +50[12] gacha
Ivigan +50[13] dan +75[11][13] gacha
Plevra oqishi Transudat +2 dan +15 gacha[14]
Eksudat +4 dan +33 gacha[14]
Boshqa suyuqliklar sutli tana suyuqligi −30[15]
Suv 0
Siydik −5 dan +15 gacha[5]
Safro −5 dan +15 gacha[5]
Orqa miya suyuqligi +15
Absses / yiring 0[16] yoki +20,[17] dan +40[17] yoki +45[16] gacha
Shilliq 0[18] – 130[19] (70 HU dan ortiq „yuqori zaiflashuv“)[20][21]
Parenxima Oʻpka −700 dan −600 gacha[22]
Buyrak +20 dan +45 gacha[5]
Jigar 60 ± 6[23]
Limfa tugunlari +10 dan +20 gacha[24]
Muskul +35 dan +55 gacha[5]
Timus
  • Bolalarda +20 dan +40 gacha[25]
  • Oʻsmirlarda +20 dan +120 gacha[25]
Oq modda +20 dan +30 gacha
Kulrang modda +37 dan +45 gacha
Oʻt toshlari Xolesterin tosh +30 dan +100 gacha[26]
Bilirubin tosh +90 dan +120 gacha[26]
Boshqa jismlar[27] Deraza oynasi +500
Alyuminiy, asfalt, avtomobil oynasi oynasi, shisha oynasi va boshqa jinslar +2100 dan +2300 gacha
Ohaktosh +2800
Mis +14 000
Kumush +17 000
Poʻlat +20 000
Oltin, poʻlat va guruch +30 000 (yuqori oʻlchanadigan chegara)
Quloq mumi <0

Buning amaliy jihatdan oʻsmalarni baholashda qoʻllanadi, masalan, radiozichligi 10 HB dan kam radiozichlikka ega boʻlgan buyrak usti oʻsimtasi koʻproq yogʻli tarkibga ega va deyarli shubhasiz yaxshi hosilali adenomadir .[28]


Ushbu tarjima Oʻzbekiston Millliy Universiteti Fizika fakulteti talabasi Ikbalova Muxlisaxon tomonidan qilindi.

Yana qarang

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Foydalanilgan dabaiyotlar roʻyxati

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  1. ↑ 1,0 1,1 Diagnostic radiology physics: a handbook for teachers and students. Vienna: International Atomic Energy Agency, 2014. ISBN 978-92-0-131010-1. 
  2. ↑ Radiation oncology physics: a handbook for teachers and students.. Vienna: International Atomic Energy Agency, 2005 — 230-bet. ISBN 92-0-107304-6. 
  3. ↑ Samei, Ehsan. AAPM Report No. 233: Performance Evaluation of Computed Tomography Systems - The Report of AAPM Task Group 233. Alexandria, VA: American Association of Physicists in Medicine, 2019. DOI:10.37206/186. ISBN 978-1-936366-69-9. 
  4. ↑ De Vos, W.; Casselman, J.; Swennen, G.R.J. (June 2009). "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 38 (6): 609–625. doi:10.1016/j.ijom.2009.02.028. PMID 19464146. 
  5. ↑ 5,0 5,1 5,2 5,3 5,4 Page 83 in: Herbert Lepor. Prostatic Diseases. W.B. Saunders Company, 2000. ISBN 9780721674162. 
  6. ↑ 6,0 6,1 Birur, NPraveen; Patrick, Sanjana; Gurushanth, Keerthi; Raghavan, AShubhasini; Gurudath, Shubha (2017). "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 28 (1): 66–70. doi:10.4103/ijdr.IJDR_415_16. ISSN 0970-9290. PMID 28393820. 
  7. ↑ Lim Fat, Daren; Kennedy, Jim; Galvin, Rose; O’Brien, Fergal; Mc Grath, Frank; Mullett, Hannan (2012-05-01). "The Hounsfield value for cortical bone geometry in the proximal humerus—an in vitro study" (en). Skeletal Radiology 41 (5): 557–568. doi:10.1007/s00256-011-1255-7. ISSN 1432-2161. PMID 21932054. https://doi.org/10.1007/s00256-011-1255-7. 
  8. ↑ Aamodt, A.; Kvistad, K. A.; Andersen, E.; Lund-Larsen, J.; Eine, J.; Benum, P.; Husby, O. S. (January 1999). "Determination of Hounsfield value for CT-based design of custom femoral stems". The Journal of Bone and Joint Surgery. British Volume 81 (1): 143–147. doi:10.1302/0301-620X.81B1.0810143. ISSN 0301-620X. PMID 10068022. https://pubmed.ncbi.nlm.nih.gov/10068022. 
  9. ↑ 9,0 9,1 Fig 3 in: Rao, Murali Gundu (2016). "Dating of Early Subdural Haematoma: A Correlative Clinico-Radiological Study". Journal of Clinical and Diagnostic Research 10 (4): HC01–5. doi:10.7860/JCDR/2016/17207.7644. ISSN 2249-782X. PMID 27190831. PMC 4866129. //www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=4866129. 
  10. ↑ Dr Rohit Sharma. „Subdural haemorrhage“. Radiopaedia. Qaraldi: 2018-yil 14-avgust.
  11. ↑ 11,0 11,1 Page 263 in: Robert Fosbinder. Essentials of Radiologic Science. Lippincott Williams & Wilkins, 2011. ISBN 9780781775540. 
  12. ↑ page 20.17 in: F W Wright. Radiology of the Chest and Related Conditions. CRC Press, 2001. ISBN 9780415281416. 
  13. ↑ 13,0 13,1 page 17 in: Dr. Avital Fast. Navigating the Adult Spine: Bridging Clinical Practice and Neuroradiology. Demos Medical Publishing, 2006. ISBN 9781934559741. 
  14. ↑ 14,0 14,1 Cullu, Nesat; Kalemci, Serdar; Karakas, Omer; Eser, Irfan; Yalcin, Funda; Boyaci, Fatma Nurefsan; Karakas, Ekrem (2013). "Efficacy of CT in diagnosis of transudates and exudates in patients with pleural effusion". Diagnostic and Interventional Radiology 20 (2): 116–20. doi:10.5152/dir.2013.13066. ISSN 1305-3825. PMID 24100060. PMC 4463296. //www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=4463296. 
  15. ↑ Page 342 in: Luca Saba. Multi-Detector CT Imaging: Principles, Head, Neck, and Vascular Systems, Volume 1. CRC Press, 2013. ISBN 9781439893845. 
  16. ↑ 16,0 16,1 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. (2014). 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. doi:10.1594/ecr2014/C-1927. Archived from the original on 2019-01-12. https://web.archive.org/web/20190112195058/http://pdf.posterng.netkey.at/download/index.php?module=get_pdf_by_id&poster_id=119826. Qaraldi: 2023-06-07. Xaunsfild shkalasi]]
  17. ↑ 17,0 17,1 Sasaki, Toru; Miyata, Rie; Hatai, Yoshiho; Makita, Kohzoh; Tsunoda, Koichi (2014). "Hounsfield unit values of retropharyngeal abscess-like lesions seen in Kawasaki disease". Acta Oto-Laryngologica 134 (4): 437–440. doi:10.3109/00016489.2013.878475. ISSN 0001-6489. PMID 24512428. 
  18. ↑ K SAGGAR, A AHLUWALIA; P SANDHU, V KALIA (2006). "Mucocoele Of The Appendix". Ind J Radiol Imag 16 (2). http://medind.nic.in/ibn/t06/i2/ibnt06i2p191.pdf. [sayt ishlamaydi]
  19. ↑ Gaeta, Michele; Vinci, Sergio; Minutoli, Fabio; Mazziotti, Silvio; Ascenti, Giorgio; Salamone, Ignazio; Lamberto, Salvatore; Blandino, Alfredo (2001). "CT and MRI findings of mucin-containing tumors and pseudotumors of the thorax: pictorial review". European Radiology 12 (1): 181–189. doi:10.1007/s003300100934. ISSN 0938-7994. PMID 11868096. 
  20. ↑ Subash S Phuyal; Mandeep Kumar MK Garg; Ritesh R Agarwal; Pankaj P Gupta; Arunaloke A Chakrabarti; Manavjit Singh MS Sandhu; Niranjan N Khandelwal (2015-09-02). "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. 
  21. ↑ Agarwal, Ritesh; Sehgal, Inderpaul Singh; Dhooria, Sahajal; Aggarwal, Ashutosh (2016). "Radiologic Criteria for the Diagnosis of High-Attenuation Mucus in Allergic Bronchopulmonary Aspergillosis". Chest 149 (4): 1109–1110. doi:10.1016/j.chest.2015.12.043. ISSN 0012-3692. PMID 27055707. 
  22. ↑ Page 379 in: Ella A. Kazerooni. Cardiopulmonary Imaging. Lippincott Williams & Wilkins, 2004. ISBN 9780781736558. 
  23. ↑ page 210 in: Erwin Kuntz. Hepatology, Principles and Practice: History, Morphology, Biochemistry, Diagnostics, Clinic, Therapy. Springer Science & Business Media, 2006. ISBN 9783540289777. 
  24. ↑ 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. 
  25. ↑ 25,0 25,1 Page 488 in: Jean-Claude Givel. Surgery of the Thymus: Pathology, Associated Disorders and Surgical Technique. Springer Science & Business Media, 2012. ISBN 9783642710766. 
  26. ↑ 26,0 26,1 "Analysis of radiolucent gallstones by computed tomography for in vivo estimation of stone components". Eur J Clin Invest 20 (4): 475–8. 1990. doi:10.1111/j.1365-2362.1990.tb01887.x. PMID 2121509. https://archive.org/details/sim_european-journal-of-clinical-investigation_1990-08_20_4/page/n140. 
  27. ↑ Bolliger, Stephan A.; Oesterhelweg, Lars; Spendlove, Danny; Ross, Steffen; Thali, Michael J. (2009). "Is Differentiation of Frequently Encountered Foreign Bodies in Corpses Possible by Hounsfield Density Measurement?". Journal of Forensic Sciences 54 (5): 1119–1122. doi:10.1111/j.1556-4029.2009.01100.x. ISSN 0022-1198. PMID 19627414. https://archive.org/details/sim_journal-of-forensic-sciences_2009-09_54_5/page/n146. 
  28. ↑ medscape >Adrenal Adenoma Imaging. Author: Perry J Horwich. Chief Editor: Eugene C Lin. Updated: Apr 21, 2011

Havolalar

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