These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
27. [Comparison of computed tomography and ultrasonic studies of the brain in newborns and infants. Correlation in 40 cases]. Robledo AE; Segura MA; Udaeta-Mora E; Lozano CH; Reyes JM; Rangel-Ruiz A Bol Med Hosp Infant Mex; 1989 Feb; 46(2):106-12. PubMed ID: 2653359 [TBL] [Abstract][Full Text] [Related]
28. Quantitative analysis of CT brain images: a statistical model incorporating partial volume and beam hardening effects. McLoughlin RF; Ryan MV; Heuston PM; McCoy CT; Masterson JB Br J Radiol; 1992 May; 65(773):425-30. PubMed ID: 1611423 [TBL] [Abstract][Full Text] [Related]
29. An evaluation of the performance characteristics of different types of collimators used with the EMI brain scanner (MKI) and their significance in specific clinical applications. Thomas SR; Schneider AJ; Kereiakes JG; Lukin RR; Chambers AA; Tomsick TA Med Phys; 1978; 5(2):124-32. PubMed ID: 683151 [TBL] [Abstract][Full Text] [Related]
30. Correction for beam hardening in computed tomography. Herman GT Phys Med Biol; 1979 Jan; 24(1):81-106. PubMed ID: 432276 [TBL] [Abstract][Full Text] [Related]
31. [Three-dimensional reconstruction of computed tomographic images by a computer graphics method]. Kashiwagi T; Kimura K Nihon Igaku Hoshasen Gakkai Zasshi; 1986 Jan; 46(1):57-65. PubMed ID: 3703667 [No Abstract] [Full Text] [Related]
32. Dual kilovoltage at computed tomography: a prereconstruction method for estimation of effective atomic number and electron density. Marshall WH; Alvarez R; Macovski A; Healy J; Zatz LM Neuroradiology; 1978; 16():605-6. PubMed ID: 745772 [TBL] [Abstract][Full Text] [Related]
33. A statistical method for differentiation of gray and white matter in computed tomography. Takeda S; Matsuzawa T; Ito H Sci Rep Res Inst Tohoku Univ Med; 1984 Oct; 31(1-4):32-7. PubMed ID: 6528281 [No Abstract] [Full Text] [Related]
34. Retrieval of brain CT reports and images using interaction information retrieval. Dominich S; Góth J Stud Health Technol Inform; 2002; 90():325-9. PubMed ID: 15460711 [TBL] [Abstract][Full Text] [Related]
35. Dual energy computed tomography: simulated monoenergetic and material-selective imaging. Hemmingsson A; Jung B; Ytterbergh C J Comput Assist Tomogr; 1986; 10(3):490-9. PubMed ID: 3700755 [TBL] [Abstract][Full Text] [Related]
36. Maximizing Iodine Contrast-to-Noise Ratios in Abdominal CT Imaging through Use of Energy Domain Noise Reduction and Virtual Monoenergetic Dual-Energy CT. Leng S; Yu L; Fletcher JG; McCollough CH Radiology; 2015 Aug; 276(2):562-70. PubMed ID: 25860839 [TBL] [Abstract][Full Text] [Related]
37. The importance of spectral separation: an assessment of dual-energy spectral separation for quantitative ability and dose efficiency. Krauss B; Grant KL; Schmidt BT; Flohr TG Invest Radiol; 2015 Feb; 50(2):114-8. PubMed ID: 25373305 [TBL] [Abstract][Full Text] [Related]
38. Dual-energy, standard and low-kVp contrast-enhanced CT-cholangiography: a comparative analysis of image quality and radiation exposure. Stiller W; Schwarzwaelder CB; Sommer CM; Veloza S; Radeleff BA; Kauczor HU Eur J Radiol; 2012 Jul; 81(7):1405-12. PubMed ID: 21458939 [TBL] [Abstract][Full Text] [Related]
39. [Value of the dual-energy method in quantitative CT studies of the brain]. Vogl G; Kiwi A; Voigt K Radiologe; 1988 Nov; 28(11):503-6. PubMed ID: 3194515 [TBL] [Abstract][Full Text] [Related]