Linear Attenuation Coefficient (LAC) and Mass Attenuation Coefficient | Radiology Physics Course #27

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  • Опубліковано 3 бер 2023
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    The linear attenuation coefficient (LAC) determines the proportion of X-rays that are removed from the beam per unit distance. We will review the function of a coefficient and how that should help us to conceptualise LAC. LAC is determined by the combination of the photoelectric effect, compton scatter and rayleigh scatter - therefore, the X-ray beam energy, density of the tissue and atomic number of the tissue all contribute to the LAC.
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КОМЕНТАРІ • 27

  • @aabidhameed4286
    @aabidhameed4286 Рік тому +12

    Would you please do with CT physics, it's giving me alot of problems.

  • @ChrispyNugget
    @ChrispyNugget Рік тому +5

    Thank you so much for adding the graph for the maths equation. It definitely gives me the euraka moment when I saw them together, as I could relate it to the half-life physics. I can understand what you mean by exponential decay equation now. As the half life is dealing with time, this equation is dealing in term of thickness of the tissue and the linear attenuation coefficient. There is no way I would figure it without watching your explanation!
    The information you present was really well laid out, and it was really easy to understand.

    • @radiologytutorials
      @radiologytutorials  Рік тому +1

      That’s great to hear. Love a Eureka moment 💡you’re spot on about the equation!

  • @freemedicaladvice6866
    @freemedicaladvice6866 Рік тому +7

    Immensely great work...
    It would be highly appreciated if you could make more videos on whole physics course

  • @MrMusicm7
    @MrMusicm7 3 місяці тому

    You saved me to understand those concept
    I graduated 2016 and haven’t read a physics sentence since them
    I got RSO exam soon and this material was very helpful thanks

  • @ZahraHassani-ld7rm
    @ZahraHassani-ld7rm 7 місяців тому

    you are beyond perfect at your work. Thank you so much for sharing this valuable video, Now I got this concept immensely.

  • @user-fq8qt8sn1c
    @user-fq8qt8sn1c 7 місяців тому

    I truly cannot thank you enough. Seriously saved my life prepping for my veterinary radiology prelim boards! thank you thank you thank you

  • @prasheedhaa4234
    @prasheedhaa4234 Рік тому +2

    Very informative .... Great job

  • @user-xz5un7vq4m
    @user-xz5un7vq4m 7 місяців тому

    You’re the best!

  • @pritambhowmik2204
    @pritambhowmik2204 Рік тому

    Great and intuitive work. I have a doubt though.Does linear attenuation
    coefficient depend on thickness of a particular material which is used as a medium given photon energy of incident ray, density of this material and atomic number constant?

  • @shwetayadav9291
    @shwetayadav9291 Рік тому +1

    Great lecture

  • @jessicapotter169
    @jessicapotter169 11 місяців тому

    could you please show some examples of equations using the LAC formula and go through them please?

  • @user-nr6qf1pj5l
    @user-nr6qf1pj5l 8 місяців тому

    Hej! Thank you for such a great lectures!!!! I would like to ask you one question about what you said in this lecture above. You say that when we overexpose the image everything will be bright. But for example Radiopaedia say that it is burnt out (dark) when it is overexposed? I am confused now :P Please help!

    • @radiologytutorials
      @radiologytutorials  8 місяців тому +1

      Hi 👋🏼 Can’t remember what I said exactly. I was mistaken if I said overexposed looks bright 😅 You are right an overexposed image is dark!

  • @riio15
    @riio15 Рік тому

    Great Job~ I just wanted to note that It would have been better in u included the math behind the Mue equation, I mean its not a complicated one. Just as delta x -> 0 we can drive N as a function of x with a simple drivative. I like knowing things in depth and thats why i love watching u so im just saying for future refrences, have a nice day dear!

    • @radiologytutorials
      @radiologytutorials  Рік тому

      The first time I recorded this I went through this equation (it’s definitely nice to know for people like us who like math). Just don’t want to scare people away so early on 😂 Your simple derivative is another persons nightmare 😅

  • @ashalarfaj7724
    @ashalarfaj7724 10 місяців тому

    Are you sure everything starts to be white when we increase photon energy? it seems most of the photons are transmitted and everything becomes dark(black).

  • @a.akhrif1492
    @a.akhrif1492 11 місяців тому

    How is N=No*e(-ux) derived?

  • @Radio_nerds
    @Radio_nerds 5 місяців тому

    Mass attenuation coefficient is inversely proportional to the radiation energy. It’s true or false

  • @easyradiologylikeapro5283
    @easyradiologylikeapro5283 9 місяців тому

    Can you make lectures on pathology chapter wise pls

  • @sohailkohri7269
    @sohailkohri7269 Рік тому

    ❤️‍🔥❤️‍🔥

  • @radioboy-oi8yd
    @radioboy-oi8yd 11 місяців тому

    in every source i read i see that Mac is independent on density , I am confused when I see that mac =m/p , if it is independent on density why there is density in the formula?

    • @radiologytutorials
      @radiologytutorials  11 місяців тому

      Great question. MAC = u/p. Linear attenuation coefficient (u) has density accounted for in its value. Dividing by density will cancel out the density contribution to LAC (u).