throbber
US007880154B2
`
`12 United States Patent
`
`10 Patent No.:
`
`9
`9
`US 7 880 154 B2
`
`Otto
`
`(45) Date of Patent:
`
`*Feb. 1, 2011
`
`(54) METHODS AND APPARATUS FOR THE
`PLANNING AND DELIVERY OF RADIATION
`TREATMENTS
`
`5,027,818 A
`5,332,908 A
`
`7/1991 Bova et al.
`7/1994 Weidlich
`
`(75)
`
`Inventor: Karl Otto, 717 West 7th Avenue,
`Vancouver, BC (CA) V5Z 1B9
`
`( * ) Notice:
`
`Subject to any disclaimer, the term of this
`patent is extended or adjusted under 35
`U.S.C. 154(b) by 207 days.
`
`This patent is subject to a terminal dis-
`claimer.
`
`(Continued)
`
`FOREIGN PATENT DOCUMENTS
`
`W0
`
`9948558
`
`9/1999
`
`(21) A 1 N
`pp .
`
`o.:
`
`12/132 597
`,
`
`(22)
`
`Filed:
`
`Jun. 3, 2008
`
`(65)
`
`Prior Publication Data
`Us 2008/0298550 A1
`Dec. 4, 2008
`
`(Continued)
`OTHER PUBLICATIONS
`
`Earl et al., “Inverse Plarming for Intensity-Modulated Arc Therapy
`Using Direct Aperture Optimization”, Physics in Medicine and Biol-
`ogy 48 (2003), Institute ofPhysics Publishing, pp. 1075-1089.
`
`Related U S Application Data
`(63) Continuation-in-part of application No. 11/996,932,
`filed as application No. PCT/CA2006/001225 on Jul.
`25,
`
`(Continued)
`ff Vnh
`Ch
`1:}:ma3)Examinef1(Nikita Well?
`1(\/I )0 ”";”gI
`fem!
`0’ W‘ em =
`1
`C ung
`enze
`
`auen
`
`(60) Provisional application No. 60/701,974, filed on Jul.
`25, 2005.
`
`(57)
`
`ABSTRACT
`
`(51)
`
`(2006 01)
`1I4n6t}]$le%/10
`'
`Am <2oosm>
`G21K1/02
`(200601)
`(52) U.S. Cl.
`................. 250/505.1; 250/492.3; 315/505;
`315/500; 378/65; 378/147; 378/152
`(58) Field of Classification Search .............. 250/505.1,
`250/492.3; 378/65, 147, 152; 315/505, 500
`.
`.
`.
`See apphcanon file for Complete Search hlstory
`References Cited
`U. S. PATENT DOCUMENTS
`3,987,281 A
`10/1976 Hodes
`4,868,843 A
`9/1989 Nunan
`4,858,844 A
`9/1989 Nunan
`
`(56)
`
`Methods and apparatus are provided for plarming and deliv-
`'
`d'
`'
`b
`d 1'
`'
`hi h '
`1
`-
`:::m:::d::::::2?:;:.-23;“
`wfiile deliverin radiation $0 theJ subleyct
`In some embddi-
`meme the radiaion Source is moved goneinuouely along the
`tra'ecto while in some embodiments the radiation source is
`melved termmemlye some embodiments involve the eee_
`.
`.
`.
`.
`.
`.
`.
`mization of the radiation delivery plan to meet various opti-
`mization goals while meeting a number of constraints For
`each of a number of control points along a trajectory, a radia-
`tion delivery plan may comprise: a set ofmotion axes param-
`eters, a set of beam shape parameters and a beam intensity.
`
`38 Claims, 16 Drawing Sheets
`
`25A
`
`TREATMENT
`PLANNING
`SYSTEM
`
`
`CONTROLLER
`
`
`
`25B
`
`Page 1 of 37
`
`Elekta Exhibit 1001
`
`Page 1 of 37
`
`Elekta Exhibit 1001
`
`

`
`US 7,880,154 B2
`Page 2
`
`U.S. PATENT DOCUMENTS
`
`1/1997 Yao
`5,591,983 A
`7/1997 Holmes
`5,647,663 A
`9/1997 Siochi
`5,663,999 A
`5/1998 Cosman
`5,748,703 A
`5/1998 Hughes
`5,757,881 A
`9/1998 Carol
`5,802,136 A
`5,818,902 A * 10/1998 Yu ............................ .. 378/65
`6,038,283 A
`3/2000 Carol et al.
`6,052,430 A
`4/2000 Siochiet al.
`6,108,400 A
`8/2000 Siochi
`6,134,296 A
`10/2000 Siochi
`6,142,925 A
`11/2000 Siochiet al.
`6,240,161 B1*
`5/2001 Siochi
`....................... .. 378/65
`6,260,005 B1
`7/2001 Yang et al.
`6,278,766 B1
`8/2001 Kooy et al.
`6,314,159 B1
`11/2001 Siochi
`6,330,300 B1
`12/2001 Siochi
`6,335,961 B1
`1/2002 Wofford et al.
`6,349,129 B1
`2/2002 Siochi
`6,385,477 B1
`5/2002 Werner et al.
`6,393,096 B1
`5/2002 Carol et al.
`6,473,490 B1
`10/2002 Siochi
`6,504,899 B2
`1/2003 Pugachev et al.
`6,560,311 B1
`5/2003 Shepard et al.
`6,661,870 B2
`12/2003 Kapatoes et al.
`6,757,355 B1
`6/2004 Siochi
`6,792,074 B2
`9/2004 Erbelet al.
`6,907,105 B2
`6/2005 Otto
`7,085,348 B2*
`8/2006 Kamath et al.
`7,162,008 B2
`1/2007 Earl et al.
`7,333,591 B2
`2/2008 Earl etal.
`2002/0006182 A1
`1/2002 Kim et al.
`2003/0086530 A1
`5/2003 Otto
`2004/0071261 A1
`4/2004 Earl et al.
`2004/0254448 A1
`12/2004 Amies et al.
`2005/0096515 A1
`5/2005 Geng
`................... .. 378/65
`2006/0256915 A1* 11/2006 Otto et al.
`2008/0226030 A1*
`9/2008 Otto .......................... .. 378/65
`2009/0161827 A1
`6/2009 Gertner et al.
`2010/0020931 A1
`1/2010 Otto et al.
`
`.............. .. 378/65
`
`FOREIGN PATENT DOCUMENTS
`
`WO
`WO
`WO
`
`0015299
`0160236
`0224277
`
`3/2000
`8/2001
`3/2002
`
`OTHER PUBLICATIONS
`
`Spirou et al., “A Gradient Inverse Planning Algorithm with Dose-
`Volume Contraints”, Med. Phys. 25, pp. 321-333 (1998).
`Wu et al., “Algorithm and Functionality of an Intensity Modulated
`Radiotherapy Optimization System”, Med. Phys. 27, pp. 701-711
`(2000).
`Spirou et al., “Generation ofArbitrary Intensity Profiles by Dynamic
`Jaws or Multileaf Collimators”, Med. Phys. 21, pp. 1031-1041
`(1994).
`Xia et al., “Multileaf Collimator Leaf Sequencing Algorithm for
`Intensity Modulated Beams with Multiple Static Segments”, Med.
`Phys. 25, pp. 1424-1434 (1998).
`Otto et al., “Enhancement of IMRT Delivery through MLC Rota-
`tion”, Phys. Med. Biol. 47, 3997-4017 (2002).
`Shepard et al., “Direct Aperture Optimization: A Turnkey Solution
`for Step-and-Shoot IMR ”, Med. Phys. 29 (6) (2002), pp. 1007-
`1018.
`Tervo et al., “A Model for the Control of a Multileaf Collimator in
`Radiation Therapy Treatment Plarming”,
`Inverse Problems 16
`(2000), pp. 1875-1895.
`Shepard et al., “An Arc-Sequencing Algorithm for Intensity Modu-
`lated Arc Therapy”, Med. Phys. 34 (2) (2007), pp. 464-470.
`
`Page 2 of 37
`
`Cao et al., “Continuous Intensity Map Optimization (CIMO): A
`Novel Approach to Leaf Sequencing in Step and Shoot IMRT”, Med.
`Phys. 33 (4) (2006), pp. 859-867.
`Ulrich et al., “Development of an Optimization Concept for Arc-
`Modulated Cone Beam Therapy”, Phys. Med. Biol. 52 (2007), pp.
`4099-41 19.
`Hardemark et al., Direct Machine Parameter Optimization with
`RayMachine in Pinnacle, RaySearch White Paper, RaySearch Labo-
`ratories (2003).
`C. X. Yu, “Intensity-modulated arc therapy with dynamic multileaf
`collimation: An alternative to tomotherapy,” Phys. Med. Biol. 40,
`1435-1449 1995.
`A. Gladwish et al., “Segmentation and leaf sequencing for intensity
`modulated arc therapy,” Med. Phys. 34, 1779-1788 2007.
`E. Wong, J. Z. Chen, and J. Greenland, “Intensity-modulated arc
`therapy simplified,” Int. J. Radiat. Oncol. Biol. Phys. 53, 222-235
`2002.
`K. Bratengeier, “2-Step IMAT and 2-Step IMRT in three dimen-
`sions,” Med. Phys. 32, 3849-3861 2005.
`C. Cameron, “Sweeping-window arc therapy: An implementation of
`rotational IMRT with automatic beam-weight calculation,” Phys.
`Med. Biol. 50, 4317-4336 2005.
`S. M. Crooks et al., “Aperture modulated arc therapy,” Phys. Med.
`Biol. 48, 1333-1344 2003.
`W. De Gersem et al., “Leaf position optimization for step-and-shoot
`IMRT,” Int. J. Radiat. Oncol. Biol. Phys. 51, 1371-1388 2001.
`M.-P. Milette and K. Otto, “Maximizing the potential of direct aper-
`ture optimization through collimator rotation,” Med. Phys. 34, 1431-
`1438 2007.
`Bortfeld et al., “Clinically relevant intensity modulation optimization
`using physical criteria,” In Proceedings of the XII International Con-
`ference on the Use of Computers in Radiation Therapy, Salt Lake
`City, Utah, 1-4 (1997).
`Yan, D. et al., “Computed tomography guided management of
`interfractional patient variation”, Semin. Radiat, Oncol. 15, 168-179
`(2005).
`Court, L. et al., “An automatic CT-guided adaptive radiation therapy
`technique by on-line modification of MLC leaf positions for prostate
`cancer”, Int. J. Radiat. Oncol., Biol., Phys. 62(1), 154-163 (2005).
`Mohan, R. et al., “Use of deformed intensity distributions for on-line
`modification of image-guided IMRT to account for interfractional
`anatomic changes”, Int. J. Radiat. Oncol., Biol., Phys. 61(4), 1258-
`1266 (2005).
`Mackie, T.R. et al., “Image guidance for precise conformal radio-
`therapy”, Int. J. Radiat. Oncol., Biol., Phys. 56(1), 89-105 (2003).
`Brock, K.K. et al., “Feasibility of a novel deformable image regis-
`tration technique to facilitate classification, targeting, and monitoring
`oftumor andnormal tissue”, Int. J. Radiat. Oncol., Biol., Phys. 64(4),
`1245-1254 (2006).
`Davis, B.C. et al., “Automatic segmentation of intra-treatment CT
`images for adaptive radiation therapy of the prostate”, Med. Image
`Comput. Comput. Assist. Interv. Int. Conf. Med. Image. Comput.
`Comput. Assist Interv. 8(Pt 1), 442-450 (2005).
`Foskey, M., “Large deformation three-dimensional image registra-
`tion in image-guided radiation therapy”, Phys. Med. Biol. 50(24),
`5869-5892 (Dec. 7, 2005).
`Munbodh, R. et al., “Automated 2D-3D registration of a radiograph
`and a cone beam CT using line-segment enhancement”, Med. Phys.
`33(5), 1398-1411 (Apr. 27, 2006).
`Court, L.E. et al., “Automatic online adaptive radiation therapy tech-
`niques for targets with significant shape change: A feasibility study”,
`Phys. Med. Biol. 51(10), 2493-2501 (Apr. 27, 2006).
`Mestrovic, A. et al., “Direct aperture optimization for online adaptive
`radiation therapy”, Med. Phys. 34(5), Apr. 19, 2007.
`Godfrey, D.J. et al., “Digital
`tomosynthesis with an on-board
`kilovoltage imaging device”, Int. J. Radiat. Oncol., Biol., Phys.
`65(1), 8-15 (2006).
`Cotrutz, C. et al., “Segment-based dose optimization using a genetic
`algorithm”, Phys. Med. Biol. 48(18), 2987-2998 (2003).
`Cotrutz, C. et al., “Segment-based dose optimization using a genetic
`algorithm”, Phys. Med. Biol. 48(18), 2987-2998 (2003).
`Kirkpatrick, S. et al., “Optimization by simulated annealing”, Sci-
`ence 220, 671-680 (1983).
`
`Page 2 of 37
`
`

`
`US 7,880,154 B2
`Page 3
`
`I.M.R.T.C.W. Group, “Intensity-modulated radiotherapy: Current
`status and issues ofinterest”, Int. J. Radiat. Oncol., Biol., Phys. 51(4),
`880-914 (2001).
`Niemierko, A. et al, “Random sampling for evaluation treatment
`plans”, Med. Phys. 17(5), 753-762 (1990).
`Chui, C.S. et al., “Dose calculation for photon beams with intensity
`modulation generated by dynamic jaw or multileaf collimations”,
`Med. Phys, 21(8), 1237-1244 (1994).
`Ghilezan, M.J. et al., “Prostate gland motion assessed with cine-
`magnetic resonance imaging (cine-MRI)”, Int. J. Radiat. Oncol.,
`Biol., Phys. 62(2), 406-417 (2005).
`Nichol, A.M. et al., “Intra-prostatic fiducial markers and concurrent
`androgen deprivation”, Clin. Oncol. (R Coll. Radiol) 17(6), 465-468
`(2005).
`Zellars, R.C. et al., “Prostate position late in the course of external
`beam therapy: Patterns and predictors”, Int. J. Radiat. Oncol., Biol.,
`Phys. 47(3), 655-660 (2000).
`Sanguineti, G. et al., “Neoadjuvant androgen deprivation and pros-
`tate gland shrinkage during conformal radiotherapy”, Radiother,
`Oncol. 66(2), 151-157 (2003).
`
`Nichol, A.M. et al., “A magnetic resonance imaging study ofprostate
`deformation relative to implanted gold fiducial markers”, Int. J.
`Radiat. Oncol., Biol., Phys. 67(1), 48-56 (2007).
`R.T.O.G. 0415, “A Phase III Randomized Study of Hypofractionated
`3D-CRT/IMRT Versus Conventionally Fractionated 3D-CRT/IMRT
`in patients with favourable-risk prostate cancer”,
`(www.RTOG.
`orgaccessed on Jul. 2006) (2006).
`Yan, D. et al., “The influence of interpatient and intrapatient rectum
`variation on external beam treatment of prostate cancer”, Int. J.
`Radiat. Oncol., Biol., Phys. 51(4), 1111-1119 (2001).
`Hoogeman, M.S. et al., “A model to simulate day-to-day variations in
`rectum shape”, Int. J. Radiat. Oncol., Biol., Phys. 54(2), 615-625
`(2002).
`Jiang, Z. et al., “An examination of the number of required apertures
`for step-and-shoot- IMRT”, Phys. Med. Biol. 50 (23), 5653-5663
`(Nov. 24, 2005).
`
`* cited by examiner
`
`Page 3 of 37
`
`Page 3 of 37
`
`

`
`U.S. Patent
`
`Feb. 1, 2011
`
`Sheet 1 of 16
`
`US 7,880,154 B2
`
` CONTROL
`
`22
`
`FIGURE 1
`
`23
`
`SYSTEM
`
`
`
`TREATMENT
`PLANNING
`SYSTEM
`
`
`
`25
`
`FIGURE 1A
`
`28
`
`Z
`
`YTL, S
`
`X
`
`Page 4 of 37
`
`Page 4 of 37
`
`

`
`U.S. Patent
`
`Feb. 1, 2011
`
`Sheet 2 of 16
`
`US 7,880,154 B2
`
`32
`
`«it?
`
`———>---
`
`Radiation
`Source
`
`Source
`trajectory
`
`Radiation
`Beam
`
`FIGURE 2
`
`Page 5 of 37
`
`Page 5 of 37
`
`

`
`U.S. Patent
`
`Feb. 1, 2011
`
`Sheet 3 of 16
`
`US 7,880,154 B2
`
`
`
`FIGURE 3A
`
`/- 33,35
`
`/\
`
`38
`
`“A
`
`37
`
`
`
`
`
`
`
`
`
`36
`
`
`
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`
`
`
`////////z,’{{z’£73
`
`36
`
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` ..
`////////////////.
`
`/////7//////////A
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`
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`
`41
`
`
`
`FIGURE 3B
`
`FIGURE 3C
`
`Page 6 of 37
`
`Page 6 of 37
`
`

`
`U.S. Patent
`
`Feb. 1, 2011
`
`Sheet 4 of 16
`
`US 7,880,154 B2
`
`
`
` DESIRED
`TRAJECTORY
`
`
`...........__..._.._......I\
`.........-..._.
`ESTABLISH
`OPTIMIZATION
`FUNCTION
`
`INIT. SHAPE
`AND INTENSITY
`
`DESIRED DOSE
`DISTRIBUTION
`
`OTHER
`
`OPTé\(/I3Iif-SFION
`
`55 AND/OR
`
`SIMULATE INIT.
`DOSE
`
`DETERMINE
`INIT.
`OPTIMIZATION
`RESULT
`
`..
`
`VARY SHAPE
`
`INTENSITY
`
`66
`
`SIMULATE
`
`VARIED DOSE
`
`68
`
`72
`
`DETERMINE
`CURRENT
`OPTIMIZATION
`RESULT
`
`
`
`70
`
` KEEP
`VARIATION
`?
`
`YES
`
`
`
`73
`
`UPDATE
`VARIABLES
`
`
`
`FIGURE 4A
`
`NO
`
`74
`
`9 YES
`
`75
`
`
`
`SAVE
`VARIABLES
`
`_
`
`I
`
`I"
`
`I I I I I I I I I I I I I I I ‘
`
`I
`
`I I I I I I I I I I I I I I I I I I I I I I I
`
`Page 7 of 37
`
`Page 7 of 37
`
`

`
`U.S. Patent
`
`Feb. 1, 2011
`
`Sheet 5 of 16
`
`US 7,880,154 B2
`
`10
`
`50
`
`1 OD
`
`# control points
`150
`
`200
`
`300
`
`Optimization
`Goal 51-->
`
`Worse
`
`Batter
`T
`Dose
`Distribution
`
`Quality

`
`I
`1x1oA4
`
`I
`2x1oA4
`
`I
`3x1oA4
`
`4x1'o/~4
`
`5x1'oA4
`
`5x1'oA4
`
`# OF ITERATIONS
`
`HGURE9
`
`310 J‘ 300
`
`QBTAEN
`
`PROVIDE
`
`DELIVER AND
`
`TRAJECTORY
`
`OPTIMIZATION
`GOALS
`
`I
`
`RADIATION
`DELIVERY
`PARAMETERS
`
`:
`
`TREATMENT
`PLAN To
`RADIATION
`DELIVERY
`DEVICE
`
`RADIATION TO
`SUBJECT
`
`HGURE4B
`
`Page 8 of 37
`
`Page 8 of 37
`
`

`
`U.S. Patent
`
`Feb. 1, 2011
`
`Sheet 6 of 16
`
`US 7,880,154 B2
`
`==:.=.:§ 1
`
`IIII IIUI
`\\“!IIIIIIII
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`
`32A
`
`Page 9 of 37
`
`Page 9 of 37
`
`

`
`U.S. Patent
`
`Feb. 1, 2011
`
`Sheet 7 of 16
`
`US 7,880,154 B2
`
`DOSE
`SIMULATION
`ERROR
`
`DESIRED
`ACCURACY
`
`10
`
`50
`
`100
`
`150
`
`200
`
`250
`
`# OF CONTROL POINTS
`
`HGURE6
`
`Optimization
`
`Goal 61-—>
`
`I
`1X1 0"3
`
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`
`# OF ETERATIONS
`
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`
`Page 10 of 37
`
`Page 10 of 37
`
`

`
`U.S. Patent
`
`Feb. 1, 2011
`
`Sheet 8 of 16
`
`US 7,880,154 B2
`
`152
`
`
`DESIRED
`TRAJECTORY
`
`&
`
`\
`
`\
`
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`
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`
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`\
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`I
`OPTIMIZATION
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`FUNCTION
`156'
`|
`!
`L
`
`GET DATA
`
`INIT. SHAPE,
`INTENSITY &
`LEVEL COUNT
`
`158
`
`164
`
`165
`
`SIIVIULATE INIT.
`
`DOSE
`
`DETERMINE
`
`INIT.
`OPTIMIZATION
`RESULT
`
`VARY SHAPE
`AND/OR
`
`INTENSITY 166
`
`. _ _ _ _ _ .. _
`
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`
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`
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`
`63
`
`150
`
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`
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`
`154
`
`FIGURE 8
`
`I I I I I I I I I I I I
`
`I
`
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`
`I
`
`SIMULATE
`
`VARIED DOSE
`
`168
`
`172
`
`173
`
`DETERMINE
`CURRENT
`OPTIMIZATION
`
` KEEP
`VARIATION
`?
`
`YES
`
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`' VARIABLES
`
`170
`RESULT
`
`
`
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`
`174
`
`182
`
`180
`
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`
`175
`
`INCREII/IENT
`LEVEL COUNTE
`
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`
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`POINTS
`
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`
`178
`
`SAVE
`YES VARIABLES
`
`Page 11 of 37
`
`Page 11 of 37
`
`

`
`U.S. Patent
`
`Feb. 1, 2011
`
`Sheet 9 of 16
`
`US 7,880,154 B2
`
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`
` 1IHHH_1|.%....I..Hu..II1TI..Iu“1JHHHH_.___HH_HHHHI“HHH_I_H_HHHHHHHH__H_HHHH
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`
`12
`
`FIGURE 11B
`
`Page 12 0f37
`
`Page 12 of 37
`
`
`

`
`U.S. Patent
`
`Feb. 1, 2011
`
`Sheet 10 of 16
`
`US 7,880,154 B2
`
`1
`
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`
`Page 13 of 37
`
`
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`
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`
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`
`
`
`0
`
`Dose (Gy)
`
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`
`Page 13 of 37
`
`
`

`
`U.S. Patent
`
`Feb. 1, 2011
`
`Sheet 11 of 16
`
`US 7,880,154 B2
`
`Optimization
`Goal
`——>
`
`Dose
`
`Distribution
`
`Quaiity \ Number of
`
`control points
`
`0
`
`3x103
`
`6x103
`
`9x103
`
`12x1O3
`
`FIGURE 13
`
`Page 14 of 37
`
`Page 14 of 37
`
`

`
`U.S. Patent
`
`Feb. 1, 2011
`
`Sheet 12 of 16
`
`US 7,880,154 B2
`
`
`
`893m_mc<‘Same
`
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`
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`
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`
`
`
`
`
`100
`
`200
`150
`Control Point
`
`300
`
`100
`
`150
`
`200
`
`Control Point
`
`F|GURE 14B
`
`_:_._54321
`
`._.._-.1.“__.__,._J
`50
`100
`
`150
`
`200
`
`250
`
`300
`
`350
`
`Control Point
`
`FIGURE 14C
`
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`
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`
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`
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`
`
`
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`
`50
`
`100
`
`150
`
`Control Point
`
`200
`
`250
`
`300
`
`350
`
`FIGURE 14D
`
`Page 15 of 37
`
`Page 15 of 37
`
`
`
`
`

`
`U.S. Patent
`
`Feb. 1, 2011
`
`Sheet 13 of 16
`
`US 7,880,154 B2
`
`ISODOSE LINEs (Gy)
`FOR FINAL RADIATION
`
`DELIVERY PLAN (AXIAL
`CROSS-SECTION
`
`THROUGH CENTER)
`
`FIGURE 15
`
`Page 16 of 37
`
`Page 16 of 37
`
`

`
`U.S. Patent
`
`Feb. 1, 2011
`
`Sheet 14 of 16
`
`US 7,880,154 B2
`
`
`
`3:
`
`I,w_...I
`
`353:;
`
`‘in.
`
`
`35
`
`I
`
`-
`
`36
`
`FIGURE 16B L‘ 43
`
`Page 17 of 37
`
`

`
`U.S. Patent
`
`Feb. 1, 2011
`
`Sheet 15 of 16
`
`US 7,880,154 B2
`
`3053
`
`Z
`
`305A-2
`
`307
`
`—-—-—-—>
`
`——-——->
`Gantry = 180 degrees
`
`307
`
`Gantry = 0 degrees
`
`
`
`309
`
`309
`
`FIGURE 17
`
`Page 18 of 37
`
`Page 18 of 37
`
`

`
`U.S. Patent
`
`Feb. 1, 2011
`
`Sheet 16 of 16
`
`US 7,880,154 B2
`
`x\\
`
`"Vv
`\
`
`7
`
`Gantry = eeeeeees
`F|GURE 18A
`
`Gantry = 180 degrees
`FIGURE 183
`
`(b z
`
`30
`
`
`
`an
`
`=
`
`egrees
`
`anry=
`
`egrees
`
`FIGURE 18C
`
`FIGURE 18D
`
`Page 19 of 37
`
`Page 19 of 37
`
`

`
`US 7,880,154 B2
`
`1
`METHODS AND APPARATUS FOR THE
`PLANNING AND DELIVERY OF RADIATION
`TREATMENTS
`
`CROSS-REFERENCE TO RELATED
`APPLICATIONS
`
`This application is a continuation in part of U.S. applica-
`tion Ser. No. 11/996,932 filed in the US on 25 Jan. 2008,
`which is itself a national phase entry under 35 U.S.C. §371 of
`Patent Cooperation Treaty application No. PCT/CA2006/
`001225 with an international filing date of 25 Jul. 2006. Both
`U.S. application Ser. No. 11/996,932 and PCT application
`No. PCT/CA2006/001225 are hereby incorporated herein by
`reference.
`
`This application claims priority from, and the benefit under
`35 U.S.C. §119 of, U.S. patent application No. 60/701,974
`filed on 25 Jul. 2005, which is hereby incorporated herein by
`reference.
`
`TECHNICAL FIELD
`
`2
`
`Treatment plarming involves identifying an optimal (or at
`least acceptable) set of parameters for delivering radiation to
`a particular treatment volume. Treatment planning is not a
`trivial problem. The problem that treatment planning seeks to
`solve involves a wide range of variables including:
`the three-dimensional configuration of the treatment vol-
`ume;
`the desired dose distribution within the treatment volume;
`the locations and radiation tolerance oftissues surrounding
`the treatment volume; and
`constraints imposed by the design of the radiation delivery
`apparatus.
`
`The possible solutions also involve a large number of vari-
`ables including:
`the number of beam directions to use;
`the direction of each beam;
`the shape of each beam; and
`the amount of radiation delivered in each beam.
`
`Various conventional methods of treatment planning are
`described in:
`
`10
`
`15
`
`20
`
`This invention relates to radiation treatment. The invention
`
`relates particularly to methods and apparatus for plarming and
`delivering radiation to a subject to provide a desired three-
`dimensional distribution of radiation dose.
`
`25
`
`BACKGROUND
`
`The delivery of carefully-plarmed doses of radiation may
`be used to treat various medical conditions. For example,
`radiation treatments are used, often in conjunction with other
`treatments, in the treatment and control of certain cancers.
`While it can be beneficial to deliver appropriate amounts of
`radiation to certain structures or tissues, in general, radiation
`can harm living tissue. It is desirable to target radiation on a
`target volume containing the structures or tissues to be irra-
`diated while minimizing the dose of radiation delivered to
`surrounding tissues. Intensity modulated radiation therapy
`(IMRT) is one method that has been used to deliver radiation
`to target volumes in living subjects.
`IMRT typically involves delivering shaped radiation
`beams from a few different directions. The radiation beams
`
`are typically delivered in sequence. The radiation beams each
`contribute to the desired dose in the target volume.
`Atypical radiation delivery apparatus has a source ofradia-
`tion, such as a linear accelerator, and a rotatable gantry. The
`gantry can be rotated to cause a radiation beam to be incident
`on a subject from various different angles. The shape of the
`incident radiation beam can be modified by a multi-leaf col-
`limator (MLC). A MLC has a number of leaves which are
`mostly opaque to radiation. The MLC leaves define an aper-
`ture through which radiation can propagate. The positions of
`the leaves can be adjusted to change the shape of the aperture
`and to thereby shape the radiation beam that propagates
`through the MLC. The MLC may also be rotatable to different
`angles.
`Objectives associated with radiation treatment for a subject
`typically specify a three-dimensional distribution ofradiation
`dose that it is desired to deliver to a target region within the
`subject. The desired dose distribution typically specifies dose
`values for voxels located within the target. Ideally, no radia-
`tion would be delivered to tissues outside of the target region.
`In practice, however, objectives associated with radiation
`treatment may involve specifying a maximum acceptable
`dose that may be delivered to tissues outside of the target.
`
`30
`
`35
`
`40
`
`45
`
`50
`
`55
`
`60
`
`65
`
`Page 20 of 37
`
`S. V. Spirou and C.-S. Chui. A gradient inverse planning
`algorithm with dose-volume constraints, Med. Phys. 25,
`321-333 (1998);
`Q. Wu and R. Mohand. Algorithm andfunctionality ofan
`intensity modulated radiotherapy optimization system,
`Med. Phys. 27, 701-711 (2000);
`S. V. Spirou and C. -S. Chui. Generation ofarbitrary inten-
`sity profiles by dynamic jaws or multileafcollimators,
`Med. Phys.21, 1031-1041 (1994);
`P. Xia and L. J. Verhey. Multileafcollimator leafsequenc—
`ing algorithm for intensity modulated beams with mul-
`tiple static segments, Med. Phys. 25, 1424-1434 (1998);
`and
`
`K. Otto and B. G. Clark. Enhancement ofIMRT delivery
`through MLC rotation,” Phys. Med. Biol. 47, 3997-4017
`(2002).
`Acquiring sophisticated modern radiation treatment appa-
`ratus, such as a linear accelerator, can involve significant
`capital cost. Therefore it is desirable to make efiicient use of
`such apparatus. All other factors being equal, a radiation
`treatment plan that permits a desired distribution of radiation
`dose to be delivered in a shorter time is preferable to a radia-
`tion treatment plan that requires a longer time to deliver. A
`treatment plan that can be delivered in a shorter time permits
`more efiicient use of the radiation treatment apparatus. A
`shorter treatment plan also reduces the risk that a subject will
`move during delivery of the radiation in a manner that may
`significantly impact the accuracy of the delivered dose.
`Despite the advances that have been made in the field of
`radiation therapy, there remains a need for radiation treatment
`methods and apparatus and radiation treatment planning
`methods and apparatus that provide improved control over
`the delivery of radiation, especially to complicated target
`volumes. There also remains a need for such methods and
`
`apparatus that can deliver desired dose distributions relatively
`quickly.
`
`SUMMARY
`
`One aspect ofthe invention provides a method for planning
`delivery ofradiation dose to a target area within a subject. The
`method comprises: defining a set of one or more optimization
`goals, the set of one or more optimization goals comprising a
`desired dose distribution in the subject; specifying an initial
`plurality of control points along an initial trajectory, the initial
`trajectory involving relative movement between a radiation
`
`Page 20 of 37
`
`

`
`US 7,880,154 B2
`
`3
`source and the subject in a source trajectory direction; and
`iteratively optimizing a simulated dose distribution relative to
`the set of one or more optimization goals to determine one or
`more radiation delivery parameters associated with each of
`the initial plurality of control points. For each of the initial
`plurality of control points, the one or more radiation delivery
`parameters may comprise positions of a plurality of leaves of
`a multi-leaf collimator (MLC). The MLC leaves may be
`moveable in a leaf-translation direction. During relative
`movement between the radiation source and the subject along
`the initial traj ectory, the leaf-translation direction is oriented
`at a MLC orientation angle <1) with respect to the source
`trajectory direction and wherein an absolute value of the
`MLC orientation angle <1) satisfies 0°<|<1)|<90°.
`Another aspect of the invention provides a method for
`delivering radiation dose to a target area within a subject. The
`method comprises: defining a trajectory for relative move-
`ment between a treatment radiation source and the subject in
`a source trajectory direction; determining a radiation delivery
`plan; and while effecting relative movement between the
`treatment radiation source and the subject along the trajec-
`tory, delivering a treatment radiation beam from the treatment
`radiation source to the subject according to the radiation
`delivery plan to impart a dose distribution on the subject.
`Delivering the treatment radiation beam from the treatment
`radiation source to the subject comprises varying at least one
`of: an intensity ofthe treatment radiation beam; and a shape of
`the treatment radiation beam over at least a portion of the
`trajectory.
`Varying at least one of the intensity of the treatment radia-
`tion beam and the shape of the treatment radiation beam over
`at least the portion of the trajectory, may comprise varying
`positions of a plurality of leaves of a multi-leaf collimator
`(MLC) in a leaf-translation direction. During relative move-
`ment between the treatment radiation source and the subject
`along the trajectory, the leaf-translation direction may be
`oriented at a MLC orientation angle <1) with respect to the
`source trajectory direction wherein an absolute value of the
`MLC orientation angle <1) satisfies 0°<|<1)|<90°.
`Varying at least one of the intensity of the treatment radia-
`tion beam and the shape of the treatment radiation beam over
`at least the portion of the trajectory may comprise varying a
`rate of radiation output ofthe radiation source while effecting
`continuous relative movement between the treatment radia-
`
`tion source and the subject along the trajectory.
`Other aspects of the invention provide program products
`comprising computer readable instructions which, when
`executed by a processor, cause the processor to execute, at
`least in part, any of the methods described herein. Other
`aspects of the invention provide systems comprising, inter
`alia, controllers configured to execute, at least in part, any of
`the methods described herein.
`
`Further aspects of the invention and features of embodi-
`ments of the invention are set out below and illustrated in the
`
`accompanying drawings.
`
`BRIEF DESCRIPTION OF THE DRAWINGS
`
`5
`
`10
`
`15
`
`20
`
`25
`
`30
`
`35
`
`40
`
`45
`
`50
`
`55
`
`The appended drawings illustrate non-limiting example
`embodiments of the invention.
`
`60
`
`FIG. 1 is a schematic view of an exemplary radiation deliv-
`ery apparatus in conjunction with which the invention may be
`practised.
`FIG. 1A is a schematic view of another exemplary radia-
`tion delivery apparatus in conjunction with which the inven-
`tion may be practised.
`FIG. 2 is a schematic illustration of a trajectory.
`
`Page 21 of 37
`
`4
`FIG. 3A is a schematic cross-sectional view of a beam-
`
`shaping mechanism.
`FIG. 3B is a schematic bearn’s eye plan view ofa multi-leaf
`collimator-type beam-shaping mechanism.
`FIG. 3C schematically depicts a system for defining the
`angle of leaf-translation directions about the beam axis.
`FIG. 4A is a flow chart illustrating a method of optimizing
`dose delivery according to a particular embodiment of the
`invention.
`
`FIG. 4B is a schematic flow chart depicting a method for
`planning and delivering radiation to a subject according to a
`particular embodiment of the invention.
`FIGS. 5A, 5B and 5C illustrate dividing an aperture into
`beamlets according to a particular embodiment of the inven-
`tion.
`
`FIG. 6 graphically depicts the error associated with a dose
`simulation calculation versus the number of control points
`used to perform the dose simulation calculation.
`FIG. 7 graphically depicts dose quality versus the number
`of optimization iterations for several different numbers of
`control points.
`FIG. 8 represents a flow chart which schematically illus-
`trates a method of optimizing dose delivery according to
`another embodiment of the invention where the number of
`
`control points is varied over the optimization process.
`FIG. 9 graphically depicts the dose distribution quality
`versus the number of iterations for the FIG. 8 optimization
`method where the number of control points is varied over the
`optimization process.
`FIG. 10 is a depiction of sample target tissue and healthy
`tissue used in an illustrative example of an implementation of
`a particular embodiment of the invention.
`FIGS. 11A and 11B respectively depict the initial control
`point positions of the motion axes corresponding to a trajec-
`tory used in the FIG. 10 example.
`FIGS. 12A-12F depict a dose volume histogram (DVH)
`which is representative of the dose distribution quality at
`various stages of the optimization process of the FIG. 10
`example.
`FIG. 13 another graphical depiction of the optimization
`process of the FIG. 10 example.
`FIGS. 14A-14D show the results (the motion axes param-
`eters, the intensity and the beam shaping parameters) of the
`optimization process of the FIG. 10 example.
`FIG. 15 plots contour lines of constant dose (isodose lines)
`in a two-dimensional cross-sectional slice ofthe target region
`in the FIG. 10 example.
`FIGS. 16A and 16B show examples ofhow the selection of
`a particular constant MLC orientation angle may impact
`treatment plan quality and ultimately the radiation dose that is
`delivered to a subject.
`FIG. 17 schematically depicts how target and healthy tis-
`sue will look for opposing beam directions.
`FIGS. 18A and 18B show an MLC and the respective
`projections of a target and healthy tissue for opposing beam
`directions corresponding to opposing gantry angles.
`FIGS. 18C and 18D show an MLC and the respective
`projections of a desired beam shape for opposing beam direc-
`tions corresponding to opposing gantry angles.
`
`DESCRIPTION
`
`65
`
`Throughout the following description specific details are
`set forth in order to provide a more thorough understanding to
`persons skilled in the art. However, well known elements may
`not have been shown or described in detail to avoid unneces-
`
`Page 21 of 37
`
`

`
`US 7,880,154 B2
`
`5
`sarily obscuring the disclosure. Accordingly, the description
`and drawings are to be regarded in an illustrative, rather than
`a restrictive, sense.
`This invention relates to the planning and delivery ofradia-
`tion treatments by modalities which involve moving a radia-
`tion source along a trajectory relative to a subject wh

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