CT (Computed Tomography) Scans - A Level Physics

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  • Опубліковано 24 сер 2024
  • A basic description of the mechanism of CT (computed tomography) scans for medical use in remote sensing. Part of the A Level Physics revision series.

КОМЕНТАРІ • 195

  • @symoi1569
    @symoi1569 2 роки тому +38

    2021 and still the best video out there about CT calculation.
    Respect!

  • @Tim1Awesome
    @Tim1Awesome 10 місяців тому +3

    After 11 years, 2023, this still helps people, thanks mate.

  • @sittoris
    @sittoris 9 років тому +168

    I have the same washing machine as you bro, according to the subtle background noise haha

  • @tudorpopescu2061
    @tudorpopescu2061 7 років тому +33

    This explanation is simply the best one i have seen. you're doing a great job in explaining all these things. you are truly a life-saver

  • @akosuafrimpong4465
    @akosuafrimpong4465 4 роки тому +6

    I honestly don’t know how to thank you enough. Your videos have been so easy to follow and understand. God bless you!!!

  • @saraahmed632
    @saraahmed632 8 місяців тому +1

    I'm learning this in my third year physics degree and you have explained it way better than my professor

  • @stevenlachowski1371
    @stevenlachowski1371 9 років тому +16

    To those of you who say the algorithm doesn't work for anything more than a 2x2 array: For this size, only 4 total scans are necessary. A larger array will require more scans at differing angles to get a better picture of the object being scanned.

    • @Photosounder
      @Photosounder 5 років тому

      But you also have to replace subtracting by 16 with proper ramp filtering.

    • @laxminepal8801
      @laxminepal8801 5 років тому

      णत़ो

    • @borntobereal2004
      @borntobereal2004 5 місяців тому

      our teacher gave us a problem for 4x4 array and l don't have any idea how to solve that. He didn't tell us anything, just gave us this video and now we have to solve it.

  • @DrPhysicsA
    @DrPhysicsA  12 років тому +31

    Indeed there is. Well spotted. On other videos you can also hear my dog bark and the kitchen clock which has a cow instead of a cuckoo.

    • @gateaspirant2383
      @gateaspirant2383 3 роки тому +1

      Does contrast between the tissues depends on the difference in average atomic number? (For CT)

  • @DrPhysicsA
    @DrPhysicsA  12 років тому +2

    Hi. Thanks for comments. Have you seen my 2 videos on Electromagnetism?

  • @spottymaldoon
    @spottymaldoon 7 років тому

    What a very clever presentation - so often they are fudged and nobody, maybe including the presenter, comes out understanding. Thank you for this - and well done!

  • @ayeshashaikh4433
    @ayeshashaikh4433 3 роки тому +3

    I wanna cry, I was so stressed about this (cause my physics prof sucks) but you made it so easy! Thank you so much!!

  • @ravindranathhospital1362
    @ravindranathhospital1362 2 роки тому +2

    An awesome explanation. I could not find many videos and I am glad I spent my time on this video. You just made it so simple.

  • @user-zo2jb2vv1l
    @user-zo2jb2vv1l 5 місяців тому

    Perfect and clear explanation. By far the best one! Thank you so much for sharing.

  • @ironrace2004
    @ironrace2004 10 років тому +1

    I love the way you broke this down. Very easy to understand the basic principles.

  • @csy_-oi5tk
    @csy_-oi5tk 5 років тому +28

    I finally understand why my physics lecturer is a pure rubbish after watching this 👍

    • @russellazure9316
      @russellazure9316 5 років тому +5

      My teacher literally just plays this video in class as if it was 'his' lecture

  • @kingmetsoo5234
    @kingmetsoo5234 6 місяців тому

    Education never gets old 11yrs ago I was in grade 3 but today you helped sir in my A Level thank you

  • @thanidunawanjana8457
    @thanidunawanjana8457 5 років тому +2

    After all these years, it helped me to clear my doubts. Thank you!

  • @Photosounder
    @Photosounder 5 років тому +1

    Doing an offset (subtracting 16) at the end is actually here a way of doing a high pass filter. Since there are only two possible frequencies for each axis, then subtracting lowers DC (frequency 0) which makes the other frequency (nyquist) relatively higher. Only works in this particular case.

  • @apayappirathapann
    @apayappirathapann 10 років тому +4

    Our college teacher made us to watch this video.
    I became big fan of Dr.Physics. you're making me love physics. Thanks indeed for your help sir. Could you do more A2 past paper questions on your channel please. Thanks again. And I would much appriciate you if you could do a video for course work preparation.

  • @xiangyu711
    @xiangyu711 5 років тому +2

    The algorithm is fantastic! Thanks for explaining this!

  • @aditimishra5853
    @aditimishra5853 Рік тому

    Realyyyy very veryyyyyy much thank you sir for this wonderful explanation thank you so much...... no one literally no one explained like you

  • @anaarias6418
    @anaarias6418 11 років тому +4

    This is such a good explanation. This is exactly what I was looking for. Thanks a lot!

  • @tatujoy9921
    @tatujoy9921 10 років тому

    A Vary simple easy to understand video about the basic tenets of CT scanning, Very very good

  • @rajeswaribandyopadhyay8155
    @rajeswaribandyopadhyay8155 3 роки тому

    The best explanation I have ever seen kudos to your dedication

  • @Rosehillcottage9
    @Rosehillcottage9 6 років тому +1

    Thank you so much for making this video, it wasn't completely clear to me before but now I fully understand!

  • @saeedkamoon6466
    @saeedkamoon6466 3 роки тому +1

    very good presentation it easy, simple and clear..... thank you

  • @raguaviva
    @raguaviva 10 років тому +3

    fantastic, I never thought it was so simple, in fact I always thought it was magic!

  • @almasmahir2091
    @almasmahir2091 Рік тому

    You are indeed a legend,boss

  • @KanchanaAturupane
    @KanchanaAturupane 9 років тому +2

    thank you DrPhysicsA.... no one could've explained that any better

  • @antua38
    @antua38 11 років тому +1

    Awesome video, gonna use the example on my oral radiology test next week.

  • @Sigmamenhealth
    @Sigmamenhealth 8 років тому +19

    0:25 its Dota

  • @AlexLilley
    @AlexLilley 8 років тому

    Thanks for this. My Year 13's and me are very grateful!!

  • @yahiaaymen7876
    @yahiaaymen7876 3 роки тому

    2020 and this video is still amazingly useful

  • @marcisrancans
    @marcisrancans 10 років тому

    WAJEIH RAJPOOT, fanned out x-ray beam is used to gather full slice data at particular moment of exposure for greater resolution. First xray machines in fact used single focused beam to gather data, but as computer data processing capabilities rise, it was possible to use fan-type beam and use detector array insted of just one.

  • @ctoumi2
    @ctoumi2 10 років тому

    Excellent tutorial - Better than my Imperial College lecturers.

  • @ClassicContent
    @ClassicContent 12 років тому

    Ah yes I've explored your page thank you very much. Understanding is the key, I think I'll have a greater chance of getting an A in the summer because of your helpful videos!

  • @ChillingMysteriesTV
    @ChillingMysteriesTV 2 роки тому

    super clear cut explanation. thank you

  • @kokitoz
    @kokitoz 11 років тому

    Thank you very much, I've laways searched for a physics explaination like this!

  • @hanaa_-_
    @hanaa_-_ 7 років тому

    i just did this today at school.thank you soo much i understand it way better now!
    keep up the good work,you got another sub :)

  • @rf4085
    @rf4085 2 роки тому

    Fantastic video. Thank you sir. Your students are very fortunate to have a great teacher. Happy new year.

  • @bluespike1482
    @bluespike1482 9 років тому

    Now I know way more than I need to. Thank you!

  • @Chinese_Story132
    @Chinese_Story132 9 місяців тому

    Thank you so much! such a clear explanation!

  • @jakeb358
    @jakeb358 10 років тому

    That's awesome it really helps you understand stuff like this better

  • @ActiveStorage
    @ActiveStorage 11 років тому

    whoever came up with this algorithm was a smart cookie

  • @hazifahn
    @hazifahn 9 місяців тому

    Thank you for explaining!

  • @phyzjqk
    @phyzjqk 9 років тому

    Awesome vid. The first step is the Radon transform

  • @shockingvideos5225
    @shockingvideos5225 9 років тому +1

    respected sir there is a point in the syllabus that understand how the image of 8-voxel can be developed using CT scan
    You explained 4-voxel, please explain it

  • @Roboticdock
    @Roboticdock 9 років тому +1

    Thank you for sharing your knowledge. I appreciate it!

  • @khurramsarfraz3489
    @khurramsarfraz3489 10 років тому +1

    wow thanks alot sir. You even explain better than my college teacher! :D

  • @igetbucketz
    @igetbucketz Рік тому

    old is gold

  • @aditimishra5853
    @aditimishra5853 Рік тому

    Wonderfullllllllllll physicssss lovelyyy explanation sir

  • @MikeAdorff
    @MikeAdorff 10 років тому +1

    First class explaination!
    Thank you!

  • @chaymm
    @chaymm 9 місяців тому

    ima need this with a 3x3, have never been asked to do one below a 3x3.

  • @DrPhysicsA
    @DrPhysicsA  11 років тому

    I'm not sure which part of the video you are referring to, but I suspect I mean the ability and extent of the Xray to penetrate the material through which it is passing.

  • @surenthar6032
    @surenthar6032 4 роки тому +1

    Y it's 16 to subtract and 3 to divide??

  • @calvinlwz231294
    @calvinlwz231294 11 років тому +2

    Sir, I don't understand why a deduction of 2X2 box with 7 7 9 9 is made? Is there a more complicated explanation to this?

  • @wajeihrajpoot1448
    @wajeihrajpoot1448 10 років тому +1

    awsum.... but i have a question why cat-scanner shows "fanned-out" array of x-ray beams....directed through patients?

  • @prasadanatekar
    @prasadanatekar 10 років тому

    Great way of explaining!
    Thank you.

  • @prathameshmandke5966
    @prathameshmandke5966 4 роки тому

    Hey,
    Thanks for the clear and concise explanation.
    I have 2 queries.
    1. Are the computed voxel values directly interpretated as image pixel intensities which is what we see as the CT image?
    2. As per my understanding, the detector will record the intensities of the received beam whereas the numbers that you mention in the voxel's are attenuation coefficients. So, more the attenuation coefficient or a voxel lesser will be the intensity recorded. What exactly do the summed values 7, 9, etc. represent? Are they the attenuation coefficients or the intensities recorded by the detector?
    Thanks in advance!

  • @confirmhandle
    @confirmhandle 6 років тому +2

    What kind of computer of processor would a CT scanner use to add all this up? So much computation needed for just one voxel, insane !

    • @Ihaveanamenowtaken
      @Ihaveanamenowtaken 6 років тому +1

      Any processor that can do floating point operations will do. But if you want fast results, you need a decent processor. Any entry-level processor and some nice memory would work quite well.

  • @jesusalbertogonzalezcanas7415
    @jesusalbertogonzalezcanas7415 8 років тому +27

    at 0:30 is that the dota 2 logo? hahaha

  • @frankamoscatelli983
    @frankamoscatelli983 6 років тому

    Very nice description. But I think you need to emphasize that you solver the *forward* problem. That is, given the voxel absorption values, find the absorptions of the 4 beams. Actually going into hospital and getting a CT scan and reconstructing the voxel values from it is the *inverse* problem. Is the inverse solution unique? Often they are not.

  • @zakirullah4088
    @zakirullah4088 5 років тому

    Great! explained very well. Thanks

  • @hannahnelly1193
    @hannahnelly1193 7 років тому

    This was really helpful. Thanks!

  • @limitless1692
    @limitless1692 7 років тому +1

    wow so ct is using x ray
    and it builds a 3d image
    that is so interesting
    thanks !

  • @marcisrancans
    @marcisrancans 10 років тому

    Does not work with 4x4 grid. The sum of right side attenuation numbers is larger than 60% of final grids values. Therefore subtraction gives me negative atenuation values. But one thing is kind a working -> values which are the largest in my case are still positive after subtraction.

  • @savindurathnayake8618
    @savindurathnayake8618 2 роки тому

    Helps a lot man thank you ❤️

  • @edlee345
    @edlee345 9 років тому

    thanks for sharing such helpful video ! Much appreciated :)

  • @Nishchalab
    @Nishchalab 10 років тому

    You are brilliant. Thank you!

  • @JuiceBoxBoiii
    @JuiceBoxBoiii 6 років тому

    Thank you! Great revision video. ^_^

  • @srinivasan7892
    @srinivasan7892 2 роки тому

    I still can't understand why you did the sum only for three projection(why did you left remaining projection) and dividing your fellow answer with three? CT scan doesn't stop with scanning three projection right?? it scans the whole body,it means it pixel value changes throughout the 360° right? so you can't divide it with three..will you divide it with 6??

  • @mosab643
    @mosab643 3 роки тому +1

    Who came up with the formula?

  • @lukc3613
    @lukc3613 8 років тому

    awesome!! who came with the mathematical model , its genius..

    • @hakkooma
      @hakkooma 8 років тому

      The two persons who invented this method receives a nobel prize in Physiology or Medicine in 1979 , for this invention.
      They were : Sir Godfrey Hounsfield , and Allan MacLeod Cormack .

  • @Hussainfhs
    @Hussainfhs 3 роки тому

    Please explain Iterative reconstruction

  • @patricktan7120
    @patricktan7120 5 років тому

    Why is the background reading the sum of attenuation for one scan??? And why is everything divided by 3 in the final step?????

  • @qzorn4440
    @qzorn4440 2 роки тому

    seems like it would be much more fun to rotate the person 🤣 thank you and great info...

  • @roentgentech684
    @roentgentech684 2 роки тому

    Thank You So Much

  • @thiruvasagam8682
    @thiruvasagam8682 7 років тому

    thank you for these information

  • @PraveenKumar-rv2dq
    @PraveenKumar-rv2dq 3 роки тому

    nice lecture

  • @ishratmaqbool303
    @ishratmaqbool303 Рік тому

    Really appreciable...thank you Sir could you please mention the name of this book in which this method is given please Sir ... Humble request...

  • @becizaistrup2920
    @becizaistrup2920 3 роки тому

    Very good video! Thank you very much :D

    • @gateaspirant2383
      @gateaspirant2383 3 роки тому

      Does contrast between the tissues depends on the difference in average atomic number? (For CT)

  • @AntiProtonBoy
    @AntiProtonBoy 12 років тому

    I never knew about the initial subtraction part after accumulating the values in the voxels. I assumed you just compute the average (ie div by 4).

  • @oneinabillion654
    @oneinabillion654 5 років тому +1

    Hi, one of the question mentioned "background reading". May I know what that is?

  • @shahadab6294
    @shahadab6294 Рік тому

    Amazing !! :)))

  • @noelsmaison685
    @noelsmaison685 3 роки тому

    Amazing!!!

  • @zahiddar3547
    @zahiddar3547 6 років тому

    very helpful
    Sir can u please make a video about iterative reconstruction

  • @rhishavpoudel9766
    @rhishavpoudel9766 8 років тому

    I don't understand why the algorithm is done? Thank you.

  • @kokitoz
    @kokitoz 11 років тому +1

    Thank you very much, I've laways searched for a physics explaination like this! is there an algoritm for more block greater than 2x2? thanks again!

  • @hbale18
    @hbale18 10 років тому

    Thanks for the simple explanation. What is the reasoning behind subtracting the sum total of 7 and 9 from the table before the final result?

    • @DrPhysicsA
      @DrPhysicsA  10 років тому +1

      Can you remind me the time on the video at which this occurs please?

    • @juanesarango
      @juanesarango 9 років тому +1

      hbale18 The idea is to substract the whole atenuation of the initial body (in this case the initial table). Which is 16 in every emission direction: 7+9=16, 4+11+1=16, 4+12=16, 3+5+8=16...

  • @silverreyes7912
    @silverreyes7912 7 років тому

    at 10:07 do we just divide by a common factor; such as for the this example the common factor was 3?

  • @VivekMaharana
    @VivekMaharana 7 років тому

    Awesome one

  • @Arnob127
    @Arnob127 7 років тому

    thanks a loooooooot, sir! you r a life saver

    • @gateaspirant2383
      @gateaspirant2383 3 роки тому

      Does contrast between the tissues depends on the difference in average atomic number? (For CT)

  • @alfireal
    @alfireal 3 роки тому

    thanks

  • @georgeeaton4948
    @georgeeaton4948 6 років тому

    THANK YOU SO MUCH!

  • @irq20xdfr
    @irq20xdfr 6 років тому

    Hello thank you! And how is the final results of the matrix transformed in an image like the black pages the laboratories give you as fault ? Thank you

  • @syahjacob6722
    @syahjacob6722 7 місяців тому

    thanks you sier

  • @imaginationpictures3
    @imaginationpictures3 11 років тому

    Thank you Dr Physics :)

  • @NEILALEXANDERMADRIGAL
    @NEILALEXANDERMADRIGAL 4 роки тому

    What do you call this kind of CT reconstruction?? Because we have different kinds of CT reconstruction - Back projection, Iterative, and Analytic Method. What is this kind?

  • @ericthecyclist
    @ericthecyclist 5 років тому

    I'm puzzled by the apparent additive nature of the voxels rather than multiplicative. If I shine a light through a two filters that individually block out 50% of the light, I'd expect that combining the two would block out 1 - .5*.5 = 75% of the light, not 100%. Do XRays operate differently, or is the percentage of X rays blocked so small that using addition is an acceptable approximation for multiplication?

    • @yurifranken
      @yurifranken 7 місяців тому

      these numbers are in a logarithmic scale, adding logarithms of numbers is the same as multiplying the numbers

  • @deltaslayer1132
    @deltaslayer1132 9 років тому +3

    Thx for the awesome vid, but I'm not sure what method this is for image reconstruction? Filtered Back Projection (FBP) or the iterative method? It's helps me a lot if you or someone knew! :)

    • @juanesarango
      @juanesarango 9 років тому +2

      DeltaSlayer Hi, It's the Filtered Back Projection (FBP) method!

    • @harrymarquis9691
      @harrymarquis9691 7 років тому +3

      Hi, I think more precisely it is the simple back projection method. The filtered method applies some form of filtering (such as convolution) on the projected profiles before it is back projected. Correct me if i'm wrong :) Cheers