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

[@zer0legend109]

correction at 11:28, when we over exposure the image everything gets black because attenuation decreases and more beam is reaching the x-ray detectors, it's probably just a tongue slip, nonetheless a correction has to be made so no one gets confused

[@aabidhameed4286]

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

[@ChrispyNugget]

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]

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

[@erfanzarenia2579]

Perfect tutorial! Thanks a lot. Respectfully, I think you made a mistake though. In 11:25 you said in over exposed images everything looks white, but in fact, over exposure makes radiographs seem darker. That was 100% a slip of the tongue, but I thought you may want to correct that in caption. Thanks again.

[@freemedicaladvice6866]

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

[@radiologytutorials]

Thank you! Will keep making more 🙂

[@MrMusicm7]

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

[@ClaireWhittaker-b6m]

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

[@radiologytutorials]

I'm so glad it was helpful!

[@ZahraHassani-ld7rm]

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

[@prasheedhaa4234]

Very informative .... Great job

[@radiologytutorials]

Thank you Prasheedha. Glad you liked it!

[@shwetayadav9291]

Great lecture

[@radiologytutorials]

Glad you think so Shweta!

[@YousefAlotaibi-g7h]

You’re the best!

[@Elyrion4409]

Are your x ray question banks and these radiology videos also geared towards the USA radiology CORE exams? Thanks for the amazing content. You're a legend.

[@riio15]

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]

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 😅

[@robertFat804]

What would a radiographic image look like if photon energy remains relatively low, but the number of photons emitted by the x-ray source is significantly higher?

[@jessicapotter169]

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

[@DocRad3]

Thanks a lot sir . But Over exposure makes xray image dark , but u said white . Isn’t it sir ?

[@pritambhowmik2204]

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?

[@caposolomon8745]

This is my health physics life now

[@ashalarfaj7724]

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).

[@MagdalenaBrzozowska-p6w]

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]

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!

[@fahimfaisal1776]

Please take lectures on radiation oncology

[@Radio_nerds]

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

[@ShamiAshRadiologist]

Can you make lectures on pathology chapter wise pls

[@a.akhrif1492]

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

[@dontstop9052]

If we will take a very thin layer (dx) and N - N0 will be also dN, then u can integrate the upper equality

[@sohailkohri7269]

❤️‍🔥❤️‍🔥

[@radioboy-oi8yd]

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]

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).